Indoor Microplastics: A Comprehensive Review and Bibliometric Analysis

Indoor Microplastics: A Comprehensive Review and Bibliometric Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Indoor Microplastics: A Comprehensive Review and Bibliometric Analysis MANSOOR AHMAD BHAT This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3376389/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The global scale of concern regarding indoor microplastic (MP) pollution is increasing and considering the amount of time people spend indoors. Indoor MP contamination can directly affect the human population through indoor dust and air exposure. This review summarized recent research progress on pretreatments, quality control, filter membranes, identification, keywords used, publication record, and authors' contribution. Comparatively, dust and deposition samples exhibit higher MPs concentrations than indoor air samples. Fiber-shaped MPs are commonly detected indoors, although fragments and films are also present. The color and types of MPs display variability, with polypropylene, polyethylene, polyethylene terephthalate, and polystyrene identified as the dominant MPs. Indoor environments generally demonstrate higher concentrations of MPs than outdoor environments, and MPs in the lower size range (1–100 µm) are typically more abundant. Among the reviewed articles, 45.24% conducted pretreatment on their samples, while 16.67% did not undergo any pretreatment. The predominant filter utilized in most studies was the Whatman Glass microfiber filter (41.67%), and MPs were predominantly characterized using µ-FTIR (19.23%). Within the examined literature, 17 articles incorporated blank samples into their research, while 8 articles did not include blank samples. Notably, most studies (23) did not integrate blank results into their samples. A significant increase in published articles has been observed since 2020, with an annual growth rate exceeding 10%. Bibliometric analysis of the literature review identified 35 authors who have contributed relevant material on indoor MPs. The keyword microplastics had the highest frequency, followed by fibers. Environmental Engineering Pretreatment Indoor Environments Fibers Human Health Dust Air Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Highlights Higher concentrations of MPs were seen indoors than outdoors, and fibers were the predominant shape of MPs (37.1 % of studies) in indoor environments. Lower-size MPs (1 - 100 µm) mostly had a higher concentration. MPs were mainly characterized using a µ-FTIR (19.23 %). The number of blank samples used in most research was not reported. Indoor MP analysis requires standardization. 1. Introduction The issue of microplastics (MPs) and microscopic plastic particles, which are less than 5 mm in size, has become a substantial environmental concern due to their widespread pollution in natural ecosystems. Nevertheless, the issue of MP has expanded to encompass indoor environments, such as residential dwellings, commercial establishments, and public buildings (Bhat, 2023 ). The indoor environment, which includes houses, businesses, markets, transportation, etc., is essential to contemporary human existence since people spend so much time inside (up to 90% or more) (Bhat et al., 2022; Klepeis et al., 2001 ). MP expansion in these indoor environments is due to the widespread recognition of these spaces as potential sources of MP contamination (Bhat, 2023 ; Bhat et al., 2021 ; Fang et al., 2022 ; Kashfi et al., 2022 ). The MPs can originate from primary sources, such as plastic beads and synthetic fibers that are intentionally manufactured in microscopic sizes, as well as secondary sources, which include the environmental degradation of larger plastic pieces that ultimately yield MPs (Bhat et al., 2023). MPs can exist in various shapes, such as pellets, films, foam, fragments, and microbeads. The most commonly manufactured plastics are polypropylene (PP), polyethylene (PE), polyethylene terephthalate (PET), polystyrene (PS), polyurethane (PUR), polyvinyl chloride (PVC), and polycarbonate (PC). The presence of MPs in indoor environments is a matter of significant concern due to the potential risks they pose to human health and the environment. One of the essential parts of studying MPs in the indoor environment is determining their sources. Although the literature on their sources is limited, some basic information is enough to analyze the problem. The primary sources of MPs in the indoor environment include synthetic textiles, the finishes used on household items, and cleaning materials (Bhat et al., 2021 ; Chen et al., 2020 ). Clothing, bedding, curtains, carpets, and other items made from synthetic or semi-synthetic fibers such as acrylic (Acr), PA, PES, polyolefin, elastane, or rayon (RAY) are some of the most common contributors to microfibres released into indoor air, typically through shedding during daily movement and use (Bhat et al., 2021 ; Zhang et al., 2020 ). Release from the synthetic material happens in all indoor environments, whether homes or businesses. Its density depends on how many people live there and how much air moves through it. Another source of indoor MPs is the deterioration of all surface finishes, including wall and ceiling paints, PVC and PUR flooring, wallpapers, other plastic goods, kitchen plastic utensils like scouring pads, brushes, and towels, and basic multipurpose hygiene products. MPs are frequently released from these surfaces when used, cleaned, rubbed, cut, scratched, or maintained (Bhat, 2023 ; Lassen et al., 2015 ). The density of MPs discharged into the indoor air is determined by the frequency with which they are used, maintained, and cleaned. MPs will be produced more significantly in residential kitchens than in comparable office facilities. Offices will produce more MP pollution associated with electronic equipment, printing, shredding etc (Kacprzak and Tijing, 2022 ). Indoor environments are also sensitive to outside MPs sources, such as industrial or agricultural emissions specific to those industries' operations, and include MPs. The other typical external contaminant problem in many interior settings is traffic MPs from automobile tires (Tamis et al., 2021 ). Indoor spaces near busy highways are particularly prone to MP contamination from traffic. Although these sources are born externally, they may easily penetrate these spaces. These MPs can penetrate indoor environments through multiple entry points, including ventilation systems, interior activities such as cleaning and cooking, and the infiltration of outdoor air. MPs have the potential to accumulate on diverse indoor surfaces such as floors, carpets, and furniture, and can also be inhaled or ingested by individuals. The extent of indoor air pollution caused by MP within a building is influenced by various factors, such as the geographical and architectural characteristics of the building, the efficiency of its ventilation system, and the nature of activities conducted within its premises. The issue of MP contamination has frequently been attributed to indoor environments (Bhat, 2023 ; Gaston et al., 2020 ; Ouyang et al., 2021 ). The presence of MPs in indoor environments has been investigated by examining dust, air, and deposition samples. Dris et al. ( 2017 ) detected the presence of PA, PP, and PE MPs in apartments, offices, and house dust in France. The concentrations of these MPs ranged from 190–670 fibers mg − 1 . In another study, Nematollahi et al. (2021) detected the presence of PET, PP, PS, and PA in dust samples collected from schools in Iran. The concentrations of these MPs ranged from 10–635 MPs g − 1 . Gaston et al. ( 2020 ) identified the presence of PVC, PE, PS, PC, PA, and acrylonitrile butadiene styrene (ABS) in indoor air samples collected from university and hospital environments. The concentrations of these MPs were measured as fibers (3.3 ± 2.9 fragments m − 3 ) and (12.6 ± 8.0 fragments m − 3 ). In a recent study conducted by Uddin et al. ( 2022 ), it was observed that the concentrations of PES and PA in air samples collected from various locations in Kuwait, including government buildings, residential dwellings, hospitals, and mosques, ranged from 3.24–27.13 MP m 3 . Yao et al. ( 2021 ) conducted an indoor deposition study wherein they observed the presence of PS, PET, PE, PVC, and PP MPs. The concentrations of these fibers ranged from (6.20 ± 0.57) × 10 3 to (1.96 ± 1.09) × 10 4 fibers m − 2 day − 1 in various university environments (i.e., office, hallway, classroom) as well as in residential houses. In another indoor deposition study, Fang et al. ( 2022 ) discovered the presence of PET, PE, and PA MPs at a concentration of (7.6 ± 3.9) × 10 5 MPs m − 2 day − 1 in various indoor environments in China, including dining rooms in apartments, dining halls on campuses, restaurants, offices, and classrooms. Despite a lack of empirical evidence concerning the adverse effects of MP pollution, it is crucial to recognize their potential as a significant concern, considering the continuous rise in their levels. Several studies have confirmed the presence of MPs in aquatic ecosystems. However, limited research has been conducted on airborne MPs in terrestrial environments, specifically indoor air environments (Bhat et al., 2023; Kacprzak & Tijing, 2022 ). A significant amount of studies, exceeding 96%, focus on examining MPs within marine and aquatic ecosystems. It is explicitly acknowledged that the primary source of these MPs in such environments is terrestrial. Nevertheless, there appears to be a lack of emphasis on research about MP within terrestrial ecosystems (Xu et al., 2020 ). Although there is limited research and data on the assessment of MP prevalence and quantity in indoor environments, some studies have found significantly higher levels of MP content in air and dust samples collected from various indoor environments compared to outdoor environments (Kacprzak and Tijing, 2022 ; O’Brien et al., 2023 ). A total of thirty-two research articles have been published on the subject of ambient air in outdoor environments. In comparison, a comparatively smaller number of eleven research articles have been published on indoor environments. Nine research studies have been conducted on indoor dust, whereas twenty-eight have been conducted on outdoor dust (O’Brien et al., 2023 ). The investigation of the impact of MPs on the human digestive system has primarily focused on exposure through contaminated food, particularly seafood, while inhalation exposure has received comparatively less attention in academic research (Bhat et al., 2022; Prata et al., 2020 ; Rahman et al., 2021 ). According to some researchers, people exposed to indoor MPs inhale an average of 26–130 airborne MPs daily (Prata, 2018 ). Cox et al. ( 2019 ) identified an average concentration of 9.8 MPs per m 3 ; the results showed that males and females were exposed to 170 and 132 MPs per day, respectively, while male and female children were exposed to 110 and 97 MPs per day. Based on an average global airborne MPs concentration of 0.685 particles/m 3 and a breathing rate of 8.64 m 3 per day, Domenech and Marcos calculated a relatively low global human daily inhalation intake of 5.9 MPs per day (Domenech and Marcos, 2021 ). Other researchers have suggested that the number might reach as high as 272 MPs per day (Vianello et al., 2019 ). Different sampling techniques and environments may be the leading causes of the variability. Other factors such as how a space is used and occupied, the type of ventilation used, where the sampling equipment was placed, how much outside air entered the indoor environment, and the accumulation of primary and secondary MPs may also have impacted the results' variability. Human reactions to inhaled MPs include chronic inflammation like bronchitis and allergic reactions like asthma or pneumonia (Kacprzak and Tijing, 2022 ). Inhaled MPs in the body can be removed by clearing systems like sneezing, phagocytosis, lymphatic transport, and mucociliary escalator. Still, people with weak immune systems are more likely to experience chronic inflammation due to the accumulation of MPs in their bodies (Prata, 2018 ). Even though the human body has clearing systems, removing MPs, especially fibers, is difficult because these particles have a large surface area. They are transporters of various contaminants because of their larger surface areas. They adsorb contaminants, such as pathogenic microorganisms, and release them, making them more hazardous (Bhat et al., 2023; Prata, 2018 ). The large surface area of airborne MPs makes them dangerous, regardless of whether or not they have oxidative organisms or other harmful compounds adsorbing to their surface. When the body's clearance system is compromised, MPs can be toxic through various mechanisms, including dust overload, oxidative stress, cytotoxicity, disruption of metabolism, and translocation. Furthermore, the MPs' persistent nature makes removal difficult, which in turn causes inflammatory responses. The presence of chronic inflammatory lesions may facilitate the onset of malignancy. Inflammation, followed by translocation or cancer, might result from any route of exposure, including the skin, inhalation, or digestion (Prata et al., 2020 ). Studies document MPs in human intestinal tracts, placental tissue, blood, and lung tissue, though effects on humans remain largely unknown (Ibrahim et al., 2021 ; Leslie et al., 2022 ; Pauly et al., 1998 ; Ragusa et al., 2021 ). Despite limited knowledge of the effects of human exposure to airborne MPs, it is clear that exposure to MPs may be associated with an increased incidence of many diseases, such as immune disorders, neurodegenerative diseases, cardiovascular diseases, congenital disorders, or cancers, and due to their bioresistance and biopersistence characteristics, they may be difficult to remove from the bodies (Amato-Lourenço et al., 2020 ). Even evaluating the potential risks MPs pose to human health is a complicated procedure that requires an analysis of the toxicity, exposure, and classification of hazards. The potential adverse effects of MPs on human and environmental health are becoming an increasing source of worry and call for more study and regulatory action (Bhat et al., 2023; Eraslan et al., 2023 ). The true potential of indoor MPs is still very unclear and inconsistent. The present study involved the collection of literature that quantifies MPs in indoor environments. The collected data was organized based on publication year, synthesized, and subjected to statistical analysis. The study examined the macro trends or similarities by analyzing the varying sampling and analytical methods, concentrations, and morphological information of identified plastics, including their shape and size, as well as the diverse polymer compositions of MPs in indoor environments. Moreover, the presence of knowledge gaps was subsequently recognized, leading to the presentation of future research directions aimed at facilitating knowledge acquisition in this developing field. 2. Material and Methods The current investigation utilized a traditional search mechanism, Web of Science, to locate scientific research examining MPs in different indoor environment aspects, such as ambient air, fallout, and dust. The Web of Science database is widely utilized for empirical metrology. This database has been commonly employed across various disciplines in numerous bibliometric studies (Bhat et al., 2023; Eraslan et al., 2021 ). The search strategy employed involved the utilization of pertinent keywords, specifically "Microplastics" and "Indoor," within the time frame spanning from 2004 to 18/04/2023. The study retrieved 123 articles, comprising 29 review articles, 2 editorial materials, 1 proceeding paper, and 91 research articles. The literature was peer-reviewed and published. The bibliometric analysis excluded review articles, editorial material, and proceeding papers. These research articles are indexed in Science Citation Index Expanded (85), Emerging Sources Citation Index (5), and Social Sciences Citation Index (1). Bibliometric analysis entails the categorization of an article based on specific characteristics. The phenomenon of coauthorship among authors. A total of 35 authors were found to have a minimum of two documents attributed to them. Co-occurrence of all keywords. The occurrence of keywords was greater or equal to 2. The minimum number of documents selected was 10, with a minimum of ten citations, and the top 10 research articles were selected. The minimum number of articles per journal was two or more, and the top ten journals were selected. A comprehensive review of all collected research articles was conducted to verify that each article pertained exclusively to indoor dust, fallout, and ambient samples. A total of 28 articles were subjected to statistical analysis, as certain articles focused on masks in indoor environments, aging of MPs in indoor environments, air conditioner filters, quality control (QC) and assurance(QA) of indoor MPs, indoor air quality, and the interaction of MPs with microorganisms in indoor environments or were reviewed papers and did not pertain to indoor dust, deposition, and ambient samples. The entirety of the articles were composed in the English language. The data analysis and graphical representations were conducted utilizing Microsoft Excel and Origin (2018). The bibliometric analysis was conducted utilizing the VOSviewer software. 3. Review Literature Analysis The literature analysis holds significant significance in indoor MP studies because it provides a comprehensive synthesis of existing research, offering valuable insights and facilitating the consolidation of knowledge. This tool enables researchers to discern deficiencies in knowledge, investigate patterns, and assess the general condition of the discipline. By examining existing scholarly literature, researchers can acquire a more comprehensive comprehension of the origins, routes, and possible health ramifications associated with MPs found indoors. It facilitates the identification of research gaps and guides future inquiries. Literature analysis in policymaking plays a crucial role by facilitating empirical evidence to inform decision-making processes and formulate impactful strategies to address indoor MP pollution and safeguard human well-being. 3.1. Sampling and Pretreatment of Samples The sampling methodology adopted for indoor MPs varied between studies. MPs in the air can be collected using passive or active sampling. Active sampling uses a pumping sampler, whereas passive sampling entails a collection column or funnel, a receiving tube, and a final collection bottle. The active sampling technique can efficiently reduce the sample period and offer data on the MPs in the air mass that might not settle. The passive sampling method provides information about the MPs falling onto the surface. Hence, passive sampling to collect atmospheric deposition is recommended in conjunction with active sampling to gain a complete picture of air MP content. A sampling pump has been used for active sampling in many indoor environments like universities, hospitals, apartments, offices, classrooms, transit station waiting halls, living rooms, office rooms, nail salons, and mosques (Chen et al., 2022 ; Gaston et al., 2020 ; Liao et al., 2021 ; Uddin et al., 2022 ; Xie et al., 2022 ). Dust and deposition involved using vacuum cleaning, directly exposing filters, vacuum cleaner bags, glass petri dishes, and directly sweeping the floor with a nylon brush, horsetail brush, hog bristle brush, or steel dustpan (Dris et al., 2017 ; Kashfi et al., 2022 ; Liu et al., 2019 ; Zhang et al., 2020 ) in indoor environments like apartments, office, homes, bedrooms, living rooms, dining rooms in an apartment, the dining hall in campus, restaurant, and classrooms. Various methods are employed for the pretreatment of indoor MPs, such as sieving, digestion, density separation, filtration, and drying. The objective of the pretreatment procedure is to segregate MPs from other contaminants, eradicate the pollutants adhered to MP, intensify the concentration of MPs, and facilitate the identification of MPs (Bhat et al., 2022, 2023; Luo et al., 2022 ). The analysis of the literature review on indoor articles (28) revealed that approximately 45.24% of these articles had conducted pretreatment on their samples. This pretreatment typically involves the utilization of chemicals for processes such as density separation or digestion. The works comprising 16.67% of the total have not undergone any pretreatment. The experimental results indicate that a combination of density separation and acidic digestion was employed to treat the samples comprising 2.38% (NaCl + NaI), 9.52% (ZnCl 2 + H 2 O 2 ), and 4.76% (NaI + H 2 O 2 ). Nile red has also been employed in studies to characterize MPs (Fig. 1 ). Nile Red is crucial in MP analysis as it is a fluorescent dye that selectively binds to plastic particles, enhancing their visibility under fluorescent microscopy. This enables efficient identification and quantification of MPs, aiding in understanding their distribution, impact, and environmental mitigation strategies. To minimize losses in cases where the suspended aerosols concentrated on glass microfiber filters have fewer impurities, it is advisable to exclude density separation and digestion (Gaston et al., 2020 ; Liu et al., 2019 ; Wang et al., 2020 ). While digestion and density separation is necessary, it is advised to concentrate the processed sample for visual inspection using gridded membrane filters with smooth surfaces (such as mixed cellulose ester membranes) (Luo et al., 2022 ). The sample can be identified and processed without pretreatment methods such as sieving, digestion, density separation, and filtration. This approach eliminates the potential for contamination caused by the pretreatment process. Notably, the surface characteristics of MPs may be modified by acidic digestion, which could conceivably impact their analysis or interpretation. However, Xie et al. ( 2022 ) highlight that the samples should be treated with dilute hydrochloric acid to remove the calcium carbonate, which may generate noise during Raman spectroscopy. Luo et al. ( 2022 ) reviewed the literature and found that in total suspended particulates (suspended aerosol), just four studies have done pretreatment steps like acidic digestion and one density separation. In dust deposition (atmospheric deposition) by using a brush and metallic pan, one study has done acidic digestion and two-density separation. By vacuum cleaning, one has done acidic digestion and three-density separation steps. 3.2. Filter membranes in indoor studies The process of filtration can effectively concentrate MPs onto the filter membranes. Filters play a crucial and indispensable role in analyzing MPs as they facilitate the segregation and enrichment of plastic particles from samples obtained from the environment. These entities function as a tangible obstruction, effectively entrapping larger particles while permitting the passage of smaller ones. Filters play a crucial role in enhancing the effectiveness of the extraction and subsequent analysis of MPs, thereby enabling a precise evaluation and understanding of their prevalence, chemical makeup, and potential environmental consequences. The presence of filters may influence the analysis of MPs when using instrumentation. The utilization of filters can potentially result in background noise, disruption of instrument sensitivity, or spectral interference, particularly in the context of spectroscopic methodologies such as FTIR or Raman spectroscopy. The filter material has the potential to introduce background signals or display peaks that overlap with the spectra of MPs, thereby impacting the precision of their identification and quantification. To obtain dependable results in MP analysis, it is imperative to consider the filter material and carry out appropriate instrument calibration and validation. This is necessary to account for any potential effects caused by the filter and ensure the analysis outcomes' reliability. Nine distinct types of filter membranes have been employed in indoor MP studies. Most studies have employed Whatman Glass microfiber filters (41.67%). Other frequently utilized filters include PTFE membranes (12.5%), Silver membranes (12.5%), Cellulose ester membranes (8.33%) etc (Fig. 2 ). 3.3. Quality Control and Assurance Implementing QC and QA measures is of utmost importance in analyzing MPs, as they play a critical role in ensuring the outcomes' dependability and precision. The QC/QA encompasses the implementation of standardized protocols, calibration of instruments, validation of sample handling, and verification of data. These measures serve to minimize variability and errors. Implementing appropriate QC/QA measures improves data integrity, comparability, and confidence, thereby facilitating rigorous evaluations and well-informed decision-making on MP pollution. The literature review analysis suggests that 17 articles incorporated blank samples in their research, while 8 articles did not include blank samples. Notably, most studies (23) did not integrate blank results within their actual samples. In the samples of 16 studies, no MP was identified (Fig. 3 ). A total of 9 studies successfully detected MPs in their respective blank samples, while 6 studies incorporated the results from blank samples into their actual samples (Fig. 3 ). The variations were seen in the presence of MPs in blank samples, Vianello et al. ( 2019 ) identified 7.7 ± 3.8 MPs per blank sample, 1–5 fiber per liter (Zhang et al., 2020 ), ≤ 3.4 MP fibers or fragments per liter (Gaston et al., 2020 ), 323 fiber and 319 particles in three field blanks (Prata et al., 2020 ), 25 MPs ranging from 0–1 per sample (Jenner et al., 2021 ), 0–3 fibers per filter (Soltani et al., 2021 ), 7 fibers and 5 fragments m − 3 (Torres-Agullo et al., 2022 ), 1.9 ± 1.2 MPs dish − 1 (Fang et al., 2022 ), 1–5 MPs/g. Two studies have highlighted the type of MPs in their blank samples PES, PA, PS, PE, and PUR (Vianello et al., 2019 ) and PUR, PP, PVC, PET, and PP (Jenner et al., 2021 ) The entire sample treatment procedure involved the omission of digestion and flotation techniques to minimize the loss of particles or contamination by MPs throughout multiple stages (Soltani et al., 2021 ; Zhang et al., 2020 ). Some studies may have neglected to take blank samples, or if they did take them, they might not have accounted for contamination when analyzing the samples. Furthermore, there may be instances where such information was not disclosed in the study's results. Pretreatment even can contaminate the actual sample. Prata et al. ( 2020 ) found sample treatment solely introduced 27 fibers from contamination, and pre-sampling introduced a mean of 106 fibers, being the primary source of contamination for air samples. Torres-Agullo et al. ( 2022 ) found fiber was the dominant type of MP in blanks with a concentration of 7 fibers/m 3 . Analyses of MPs demonstrate that field studies are challenging because of the wide variety of samples and analytical methods available to detect and quantify MPs. The wide variety of sampling approaches makes it difficult to meet the need for additional, higher-quality data. Due to the lack of standardization of methodologies for monitoring MPs in airborne and interior settings, substantial difficulties in comparing results are caused (Enst, 2021 ). The approaches that are used can have a significant impact on the results that are obtained. MPs have been expressed using a wide range of different units, including particles per liter, spheres per liter, beads per liter, particles per square meter, particles per square meter per day, particles per liter, particles per kilogram, pieces per kilogram, items per kilogram, and kilograms per liter (liters can refer to water or sediment and kilogram can refer to dry or wet weight) (Bhat et al., 2023). Also, various publications alter and convert the units they use for various purposes, and it is not always obvious which options are used throughout these transformations. In addition, there are many ways to categorize MPs depending on their morphology (fragments, pellets, beads, lines, fibers, films, and foams) and the kind of polymer they are made of (PP, PE, PS, etc.). While the latter is frequently capable of accurate determination, the criteria for characterizing the form are not always readily apparent. As a result, the procedures for collecting, processing, and evaluating samples and data are not standardized. MPs can be classified in a broad range of ways, including by shape, polymer type, and/or composition. This makes it difficult to compare the results of different studies directly and possibly leads to uncertainty between the findings of different investigations. A clear understanding of the dynamics and implications of MPs is also hampered, and stakeholders are prevented from taking the appropriate steps to address and (if required) alleviate the problem. In designing and implementing processes for collecting, analyzing, and characterizing MPs per suitable QC and QA standards, much work remains to be done. This is because MPs are a broad category of pollutants that significantly differ from one another in terms of their morphology, chemical characteristics, texture, color, density, and size. Contamination control techniques, which are an integral part of QC/QA, are one of the characteristics that differ from one study to the other studies. Notwithstanding the critical nature of the issue, the capacity of many research organizations and laboratories to achieve comprehensive consistency heavily depends on their success in acquiring funding and infrastructure. There is no single method that is suitable for every laboratory, and not every laboratory is equipped to perform high-level and expensive treatments. As the field of study expands, new and innovative methods emerge in the scientific literature. One example of this is the ability of researchers and equipment to identify ever-smaller particles (Hermsen et al., 2018 ). Since MPs are present everywhere, even indoor air (Abbasi et al., 2022 ; Amato-Lourenço et al., 2022 ; Chen et al., 2022 ; Choi et al., 2022 ) and outdoor air (Abbasi et al., 2019 ; Allen et al., 2019 ; Amato-Lourenço et al., 2022 ; Choi et al., 2022 ). If adequate methods for controlling contamination are not followed, there is a risk that samples may be contaminated, which will lead to an inaccurate representation of the data. The presence of MPs in all matrices and environments, even under minor anthropogenic pressure (rural or virgin areas) (Allen et al., 2019 ; Bergmann et al., 2019 ; Ivar et al., 2013 ; Jiang et al., 2019 ; Lusher et al., 2015 ; Xiong et al., 2018 ) demonstrates the need for stringent controls not often applied to the management of other environmental contaminants when the risk of sample cross-contamination is low. Yet, looking at quantitative contrasts of levels of MP contamination in the same or comparable species collected from diverse regions and of any trends over time remains very difficult. It is subject to considerable uncertainties because of procedural differences and problems in isolating, quantifying, and confirming the identity of MPs recovered from these sites. MP studies have shown that microfibers are prevalent in environmental samples. Fibers are the most often studied MP type in atmospheric deposition (Abbasi et al., 2019 ; Allen et al., 2019 ; Bergmann et al., 2019 ; Dris et al., 2016 ) and indoor environments (Catarino et al., 2018 ; Dris et al., 2017 ; Soltani et al., 2021 ). Later investigations have highlighted errors in analysis, such as improper spectroscopic measurements, which led to the incorrect identification of synthetic fibers as artificial or lignin fibers (Collard et al., 2015 ; Remy et al., 2015 ; Wesch et al., 2016 ). After sampling, microfibers in ambient samples might easily be mistaken for contamination in the laboratory. Because of this, detecting microfibers in environmental samples is still highly questionable since it is difficult to eliminate the possibility of background contamination. Abrasions on synthetic garments, incorrect cleaning of laboratory equipment, plastic tools used in treatment, inappropriate specimen sealing, and ambient air are all potential sources of background contamination with microfibers. The correct QC/QA processes guarantee that the MP values reported on environmental samples are accurate and are not significantly impacted by the background laboratory contamination. Adding QC/QA measures also enable researchers to analyze differences in MP analysis, which enables them to decide whether the changes reported in the field are statistically significant or simply a reflection of variances in collecting and analyzing the data. It is necessary to collect QC/QA samples in the field and the laboratory to evaluate the procedure's effectiveness and ensure that MPs are quantified accurately. Assessments of QC/QA in the field and the laboratory include using field and laboratory blanks to measure procedural and background contamination during sampling and testing; field duplicates; standard practices for environmental chemical contaminant scanning; and variation measurements for sample collection and analysis. It is possible that increasing the number of replications at each location will result in more statistically accurate data, but it's essential to strike a balance when collecting replicates between time and resources. In the same manner that samples are collected and analyzed, fields, laboratory blanks, and duplicates should be gathered. Thus, designing and executing standard QC/QA processes will enable rigorous management activities to be reviewed to guarantee that they are appropriately implemented and in locations with the most impact. 3.4. Identification Methods Indoor MP studies have used different instruments to identify MPs for physical, chemical, and elemental characterization (Fig. 4 ). Most of the indoor studies have used µ-FTIR (19.23%), followed by Stereomicroscope (17.31%), fluorescent microscope (9.62%), FTIR (9.62%), µ-Raman (7.69%) etc (Fig. 4 ). Analyzing airborne and indoor MPs is challenging. While no standard approach for their identification has been developed, numerous analytical methods have been used based on their features. Physical and chemical property-based approaches are often used among the many analytical techniques for MP identification (Bhat et al., 2023; Rocha-santos & Duarte, 2015 ; Shim et al., 2017 ). Physical characteristics are one of the most popular means of recognizing MPs. This often entails detecting MPs based on physical qualities such as elasticity, hardness, color, shininess, and structure, which are recognized using visual methods or by different microscopes like optical, binocular, stereo, and fluorescence (Abbasi et al., 2022 ; Aslam et al., 2022 ; Gaston et al., 2020 ; Hidalgo-ruz et al., 2012 ; Nematollahi et al., 2022 ). However, using visual inspection methods has considerable limitations, such as the visual variations of experimentalists influencing identification findings and the inability to recognize many MPs visually. The visual examination approach is less successful in detecting minute MPs or when there is interference (Shim et al., 2017 ). According to Dekiff et al. ( 2014 ), when the size of the MPs decreases, the inaccuracy of the visual examination technique rises. As a result, in the context of current MP detection, visual inspection is not advised as a stand-alone identification tool. The visual identification of MPs has significant shortcomings. Still, due to its low cost and ease of use, it is currently the most widely used method for MP analysis and identification. Identifying the chemical composition of MPs is a crucial step in distinguishing plastic from other particle types. Different techniques have been used in indoor environments to characterize the MPs like Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) (Amato-Lourenço et al., 2022 ; Dris et al., 2017 ; Prata et al., 2020 ), µ-Raman (Abbasi et al., 2022 ; Gaston et al., 2020 ; Kashfi et al., 2022 ; Uddin et al., 2022 ) and SEM-EDX (Abbasi et al., 2022 ; Kashfi et al., 2022 ; Nematollahi et al., 2021). FTIR and Raman spectroscopy are two complementary techniques often utilized to investigate the chemical composition of MPs. MPs are frequently identified using FTIR by ATR, transmission, and reflection. MPs with particle sizes greater than or equal to 300 µm are commonly found using ATR. The analysis is accurate and may be finished in one minute (Gong and Xie, 2020 ). Each sample's FTIR spectroscopy can yield distinct spectra. Because various samples have different compositions, they produce varied spectral images. The kind of polymer forming the MPs may be readily recognized by comparing the spectrum of target particles to those of known materials in libraries. Besides FTIR, Raman spectroscopy only requires a minimal sample from various matrices and yields extremely trustworthy findings. MPs are subjected to Raman spectroscopy to get precise data on high molecular weight polymers, allowing further identification (Gong and Xie, 2020 ). The µRaman (a combination of Raman spectrum imaging equipment and microscopy) can identify MPs as tiny as 1 µm, a spatial resolution that cannot be attained by any other technique (Lenz et al., 2015 ). Raman spectroscopy is also inappropriate for detecting fluorescent materials, and the MPs additives and pigments may make it challenging to identify the polymer. Additionally, a significant aspect that prevents the identification of the MPs is the fluorescence that some of the photosensitive components in the sample produced after being excited by the equipment (Song et al., 2015 ). Scanning electron microscope (SEM) is another tool frequently used to identify MPs. A powerful electron beam is produced and scans the sample's surface. The interaction of the electron beam with the material results in high-resolution photographs of the surface features (< 0.5 nm resolution) (Rocha-santos and Duarte, 2015 ). By contrasting their surface characteristics, MPs may be distinguished from sample particles. By utilizing SEM to analyze the surface texture of the MPs, such as grooves, pits, fractures, and flakes, it is possible to determine the mechanical degradation patterns of MPs. For example, pits and grooves on the surface of airborne MPs may be attributed to collision and friction induced by atmospheric dynamics, whereas fractures could be caused by wind action (Cai et al., 2017 ). Furthermore, combining SEM with Energy Dispersive X-Ray Analysis (EDX) can offer information on particle elemental composition. Although SEM has been used effectively for MP detection, it is a time-consuming procedure in sample preparation and observation. As a result, SEM is ineffective for identifying a high number of MPs. 3.5. Concentration and Morphological Features The analysis of indoor MP has been conducted in various indoor environments (schools, apartments, offices, buses, houses, hotels, subway cars, operation theatres, anesthetic rooms, dormitories, corridors, nail salons, classrooms, universities, hospitals, mosques, kindergartens, etc) across multiple countries (Dris et al., 2017 ) France, (Vianello et al., 2019 ) Denmark, (Zhang et al., 2020 ) China, (Gaston et al., 2020 ) California, (Joana C. Prata et al., 2020 ) Portugal, (Jenner et al., 2021 ) the United Kingdom, (Soltani et al., 2021 ) Australia, (Kashfi et al., 2022 ) Iran, (Lim et al., 2022 ) Japan etc (Table 1 ) and have collected different types of samples (air, dust, and deposition). Indoor MP investigations have shown differences in sample sizes, counts, and blank sample numbers. Most of the studies did not report the number of blank samples in their studies. Four studies reported a blank count of 234 (Zhang et al., 2020 ), 114 (Jenner et al., 2021 ), 4 (Torres-Agullo et al., 2022 ), and 30 (Field et al., 2022 ). 3.5.1. Concentration Concentrations of MPs in the indoor air varied from concentrations of 5 MP fibers/m 3 to mean concentrations of 9 ± 6 MPs/m 3 (Vianello et al., 2019 ), 10 ± 6 MPs/m 3 (Uddin et al., 2022 ), 46 ± 55 MPs/m 3 (Chen et al., 2022 ) and 48 MPs/m 3 (Xie et al., 2022 ) to 1,583 ± 1,181 MPs/m 3 (Liao et al., 2021 ), primarily sampled from residential environments (Table 1 ). Within indoor environments, MP fibers in an indoor deposition have been reported with concentrations ranging between 475–3,339 MP fibers/m 2 /day (Dris et al., 2017 ) and 22 − 6,169 MP fibers/m 2 /day (Soltani et al., 2021 ), or the mean concentration of 19,600 ± 900 MP fibers/m 2 /day (Yao et al., 2021 ) in residential locations (Table 1 ). Film-shaped plastics have also been reported in an indoor deposition at concentrations of 5,990 ± 2,020 MP fibers/m 2 /day (Yao et al., 2021 ). Undifferentiated by shape, total concentrations of MPs in deposition within indoor residential environments have been reported as 940,000 ± 500,000 MPs/m 2 /day (Fang et al., 2022 ). Within office environments, the concentration of MP fibers in a deposition has been reported to vary between 307 ± 215 MP fibers/m 2 /day (Amato-Lourenço et al., 2022 ) and 6,430 ± 2,540 MP fibers/m 2 /day (Yao et al., 2021 ). Fragment-shaped MPs in deposition have also been reported at concentrations of 2.2 ± 2 MPs/ m 2 /day (Amato-Lourenço et al., 2022 ) and 6340 ± 2540 MPs/ m 2 /day (Yao et al., 2021 ; Zhang et al., 2020 ). Undifferentiated by shape, the concentration of MPs in deposition within office locations has been reported as 890,000 ± 340,000 MPs/m 2 /day (Fang et al., 2022 ). Indoor deposition of MP fibers in school environments was 1,404–5,844 MP fibers/m 2 /day (Ouyang et al., 2021 ) and 6,200 ± 570 MP fibers/m 2 /day (Yao et al., 2021 ). Film-shaped MPs have also been reported in schools at a concentration of 8,130 ± 2,170 MPs/m 2 /day (Yao et al., 2021 ). Total MP concentrations within school-based deposition (irrespective of shape) have been reported to be 790,000 ± 350,000 MPs/m 2 /day (Fang et al., 2022 ). Based on particle count, mean concentrations of MPs in indoor dust have been reported to be 195 MPs/g (range: 10–635 MPs/g) (Nematollahi et al., 2022 ), 3,771 MPs/g (range: 81 − 55,830 MPs/g) (Abbasi et al., 2022 ) and 62 − 3,861 MPs/g (Zhu et al., 2022 ). MP fibers have been reported in concentrations varying from 19,000–67,000 MP fibres/g (Dris et al., 2017 ). Mean concentrations of PET have been reported as 0.43 mg/g in one student dormitory (Wang et al., 2017 ), 23 mg/g from 39 cities in China (Liu et al., 2019 ) and 2 mg/g (India), 3.9 mg/g (Columbia), 4.4 mg/g (Pakistan), 9.2 mg/g (China), 10 mg/g (Kuwait), 11 mg/g (Vietnam), 14 mg/g (USA and Romania), 15 mg/g (Greece), 20 mg/g (Japan), 20 mg/g (Saudi Arabia) and 27 mg/g (South Korea) (Zhang et al., 2020 ). Mean concentrations of PC were lower, reported as 240 µg/g in the one student dormitory (Wang et al., 2017 ), 1.8 µg/g (China) (Liu et al., 2019 ), and 6 µg/g (Pakistan), 7 µg/g (Kuwait), 11 µg/ g (Columbia), 15 µg/g (Romania), 18 µg/g (China), 20 µg/g (India), 34 µg/g (Greece), 54 µg/g (South Korea), 58 µg/g (Saudi Arabia), 63 µg/g (Japan), 87 µg/g (USA), 120 µg/g (Vietnam) (Zhang et al., 2020 ). The mass concentration of other polymers in indoor dust has not been reported to date (Table 1 ). Differences have been seen in the concentrations of MPs found in indoor environments in dust, deposition, and ambient samples. The concentration of MPs indoors was higher than outdoors (Amato-Lourenço et al., 2022 ; Dris et al., 2017 ; Yao et al., 2021 ), because of the many MP sources (such as synthetic textiles, clothes, and household items) and complex air dispersion processes (like ventilation rate, room partition, and weather conditions) (Bhat et al., 2021 ) 3.5.2. Size The maximum reported length of indoor fibrous MPs varied from 2,181 µm (Xie et al., 2022 ), 2,800 µm (Uddin et al., 2022 ), 3,250 µm (Dris et al., 2017 ), 3,669 µm (Prata et al., 2020 ), to > 5,000 µm (Gaston et al., 2020 ) in indoor air. The reported average length of indoor air MP fibers ranged between 177 and 237 µm, 250 µm (Prata et al., 2020 ), 330, 383, and 641 ± 810 µm (Gaston et al., 2020 ). The mean diameter of MP fibers in indoor air has been reported to be 26–30 µm wide (with variability attributed to automatically versus manually calculated measurements) (Vianello et al., 2019 ). MP fragment sizes in indoor air were reported in two studies, being a mean of 68 µm in length and 37 µm in diameter (Vianello et al., 2019 ) and 58 ± 55 µm (predominantly 76–100 µm) (Gaston et al., 2020 ) (Table 1 ). Within dustfall, MP fibers have typically occurred in larger sizes > 50 µm (Soltani et al., 2021 ) ranging between 50 and 510 µm (Amato-Lourenço et al., 2022 ), 50 − 2,000 µm (Zhang et al., 2020 ) and 4,650–4,850 µm (Mandin et al., 2017 ). MP fiber diameters have been reported to be 11–20 µm (63%) (Jenner et al., 2021 ) and 19 ± 6 µm, larger compared to their natural counterparts at 17 ± 4 µm (Soltani et al., 2021 ). Fragments of MP have been detected between 50–200 µm (Soltani et al., 2021 ), however, can range up to 50–989 µm (Amato-Lourenço et al., 2022 ). Proportionally for each shape, the majority of plastics in the 5–250 µm range were film (88%), fragment (99%), and sphere (98%) (Jenner et al., 2021 ). The size range of MPs in indoor dust has been reported to be > 50–2500 µm (Dris et al., 2017 ), with mode size ranges between 200 and 1,000 µm (45–63%) (Zhu et al., 2022 ) and 500–1,000 µm (32% (Nematollahi et al., 2022 ), 25% (Abbasi et al., 2022 )). Table 1 Examples of some published literature on the indoor microplastics Country Sample Vol. Sample NO. Blank NO. Concentration Size Color Polymer Type Reference France 2–5 m 3 / 5.5 mg 2 Unreported 1586–11,130 fibers/day/m 2 50–4850 µm Unreported PP, PA, and PE (Dris et al., 2017 ) Denmark 16.8 m 3 per sample Unreported Unreported 1.7 and 16.2 particles m − 3 37–177 µm Unreported PES, PE, PA, PP, PS, Acr, PUR, EPDM, PVAc, EVA, EP, PR, CA, CTA, PLA, and, PC (Vianello et al., 2019 ) China 10–15 mg 39 Unreported 4.6–26,800 mg g − 1 50µm − 2mm Unreported PES, PUR, PA, PA, PP, PAN, Acr, PEI, and PEP (Liu et al., 2019 ) Indonesia Unreported 3 Unreported 95–351 particles 3–5 mm Unreported Unreported (Bahrina et al., 2020 ) China Unreported 234 234 Dormitory (9.9 × 10 3 MPs/m 2 /d), office (1.8 × 10 3 MPs/m 2 /d) and corridor (1.5 × 10 3 MPs/m 2 /d) 50 − 2,000 µm Transparent, red, black, yellow, purple, and green PES, RAY, Acr, CE, PP, PS, and PA (Zhang et al., 2020 ) California 11.7 L min − 1 for 8 hours 21 Unreported 3.3 ± 2.9 fibers m –3 and 12.6 ± 8.0 fragments m –3 58.6 ± 55 µm Black, blue, red, and green PVC, PE, RC, Acr, PC, and PS (Gaston et al., 2020 ) 12 Countries 50 mg 286 Unreported PET 38–120,000 µg/g and PC < 0.11–1700 µg/g Unreported Unreported PET and PC (Zhang et al., 2020 ) Portugal 5 L m − 1 48 hours 5 0 6 fibers m − 3 and 5 SMPs m − 3 17 − 3,669 µm Unreported Unreported (Prata et al., 2020 ) China 1 m 3 per sample 39 0 1,583 ± 1,180 n/m 3 5–5,000 µm Unreported PES, PA, and PP (Liao et al., 2021 ) United Kingdom Unreported 118 114 1,414 MP m − 2 day − 1 ± 1,022 5–5,000 µm Unreported PET, PA, and PP (Jenner et al., 2021 ) Australia Unreported 32 Unreported 308 − 17,642 fibers/m 2 /day 5–5,000 µm Black, green, blue, red, grey, brown, and transparent PE, PES, PET, and PA (Soltani et al., 2021 ) Kuwait 30 L min-1 for 360 mints 20 Unreported 3.2–27.1 particles m − 3 0.45–2,800 µm Black, transparent, blue, red, grey PES and PA (Uddin et al., 2022 ) Spain 10 L/min 1.5–3 hours 15 4 4.2–17.3 MPs/m 3 5mm Black, colorless, brown, red, purple, blue, grey, yellow, orange, green, pink, golden, and silver PA, PES and PP (Torres-Agullo et al., 2022 ) Brazil Unreported 14 Unreported 309.40 ± 214.71 MPs/m 2 /day 51–511 µm Unreported PE, PP, PET, and PVAc (Amato-Lourenço et al., 2022 ) Taiwan 5.43 m 3 19 Unreported 46 ± 55 MPs/m3. < 50 µm Unreported Acr, RB, and PUR (Chen et al., 2022 ) Pakistan Unreported 20 Unreported Unreported Unreported Yellow, blue, green, red, white, purple, orange, transparent, and green PET, EPR, PE, and PUR (Aslam et al., 2022 ) South Korea 7 L min − 1 48 hours 5 Unreported 6 MPs m 3 20.1–6,801.2 µm Unreported PE, PP, PA, PES, Acr, and PS (Choi et al., 2022 ) China 2.5 m 3 /h for 4 hours 8 Unreported 15.56–93.32 N/m 3 2.40–2,181.48 µm Black, blue, green, indigo, pink, purple, red, transparent, white, and yellow PE, PES, PF, PVC, CO, PP, PUR, and RB (Xie et al., 2022 ) China Unreported 21 Unreported 105 items m − 2 d − 1 dining/drinking venues 5.9–5,000 µm Unreported PET, PE, and PA (Fang et al., 2022 ) Iran 10 g 28 Unreported 195 MPs·g − 1 50 - 1,000 µm Black, yellow, blue, transparent, red, white, and green PA, PS, PC, PES, PP, and PE (Zhu et al., 2022 ) Iran 1 g 50 Unreported 80 − 56,000 MP per g ≤ 5,000 µm Black-grey, yellow-orange, white-transparent, red-pink, and blue-green PET, PP, and PS (Abbasi et al., 2022 ) United Kingdom Unreported 18 30 13,048 ± 14,283 particles m − 2 day − 1 10 - > 50µm Clean, brown, black, white, and blue PET, PP, PE, and PTFE (Field et al., 2022 ) Japan Unreported 10 Unreported Unreported 45 - < 5,600 µm Unreported PET, PE, PA, PVA, PSU, and CL (Lim et al., 2022 ) Iran 1g 10 Unreported 48.6–139 items/mg 1,000 µm White, transparent, orange, red, black, green, and purple PE, PC, PP, PET, and PA (Kashfi et al., 2022 ) United Kingdom Unreported 20 Unreported 93,772 − 311,040 particles/m 2 /day 20 - > 300 µm Unreported PA, PUR, PE, and PET ( Boakes et al., 2023 ) *Actual units were taken from each specific article 3.5.3. Color, Type, and Shape Color, type, and shape are essential in identifying MPs. The color provides insights into their composition and origin, helping to determine potential sources and pathways. Different plastic types have distinct characteristics, influencing their behavior and environmental risks, and understanding the plastic-type aids in targeted mitigation. Shape reveals information about the origin and potential impacts, such as fibers from textiles or fragments from more oversized items. It affects mobility, interactions with organisms, and harm caused. By analyzing these characteristics, researchers can develop effective strategies for managing MP pollution, preventing its spread, and minimizing environmental consequences. Most of the indoor studies did not report the color in their results. Few studies reported the color of MPs like transparent, red, black, yellow, purple, and green (Zhang et al., 2020 ), black, blue, red, and green (Gaston et al., 2020 ), black, transparent, blue, red, grey (Uddin et al., 2022 ), white, transparent, orange, red, black, green, and purple (Kashfi et al., 2022 ) etc (Table 1 ). Transparent, red, black, green, blue, brown, orange, grey, and purple were the dominant type of MP colors. Various types of MPs have been identified through indoor studies like PP, PA, and PE (Dris et al., 2017 ), PVC, PE, RC, Acr, PC, and PS (Gaston et al., 2020 ); PET, PA, and PP (Jenner et al., 2021 ), PA, PES and PP (Torres-Agullo et al., 2022 ), PET, PE, and PA (Fang et al., 2022 ), PET, PP, PS, and PA (Nematollahi et al., 2022 ) and PA, PUR, PE, and PET (Boakes et al., 2023 ) etc. however Prata et al., ( 2020 ) did not report the type of MP. The dominant MPs identified in indoor environments were PA, PP, PE, PS, PC, PUR, PET, PES, Acr, and PVC (Table 1 ). Indoor MPs have been classified into nine distinct shapes: fiber, fragments, granules, films, spheres, foams, beads, sheets, and pellets. Fiber has emerged as the predominant type of MP, accounting for 37.1% of the total, followed by fragments (29.03%), films (12.9%), and other categories (Fig. 5 ). 4. Bibliometric Analysis The utilization of bibliometric analysis is of utmost importance within the field of MP research, as it serves to delineate the research domain effectively, discern prevailing patterns, evaluate the influence of scholarly output, facilitate collaborative efforts, and bolster the foundation of decision-making processes grounded in empirical evidence. By examining scientific publications and relevant literature, a comprehensive assessment of research output is obtained, elucidating the countries, institutions, and authors exhibiting the highest productivity levels. This tool assists researchers in maintaining current knowledge regarding emerging trends and prominent subjects, thereby guiding their research endeavors and allocation of resources. The evaluation of research quality and the identification of influential researchers are facilitated by assessing impact and influence. Examining collaboration patterns facilitates the dissemination of knowledge and advancing interdisciplinary research. Bibliometric analysis is a valuable tool for policymakers, enabling them to make well-informed decisions in effectively addressing the issue of MPs. This is achieved through the implementation of regulations, policies, and interventions. 4.1. Research Outcome in Indoor Environments The bibliometric analysis conducted on indoor MPs revealed that researchers in 2017 exhibited significant interest in the occurrence of MPs within indoor environments (Fig. 6 ). Between 2017 and 2019, the annual publication count remained below 5 articles. However, starting in 2020, there has been a notable increase in articles published, with an annual growth rate exceeding 10. In 2018 only a single article was published, whereas in 2022, 34 articles were published. The bibliometric analysis revealed that 91 articles have been published on indoor MPs, explicitly focusing on discussions related to this subject matter. The frequency of citations has notably increased over the years, with the lowest count recorded in 2017 (9) and the highest count observed in 2022 (1,550). The indoor MP articles have 3,783 citations (Fig. 6 ). Given the topic's inherent novelty and the necessity for a further comprehensive investigation, it is anticipated that the number of articles and citations will rise within this domain in the upcoming years. 4.2. Coauthorship of Authors The inclusion of multiple authors in MP studies is of utmost importance due to its significant impact on collaborative expertise, the production of comprehensive research outcomes, the enhancement of credibility, the broader dissemination of findings, and the shared responsibility in addressing the complex problem of microplastic pollution. Bibliometric analysis of all literature in this review identified 35 authors who have published material relevant to indoor MPs, which were segregated by different clusters (Fig. 7 ). The minimum number of documents published by each author was 2. Of the 35 authors, 33 (94%) had published 2–3 articles; however, just two authors, “Sun, Hongwen” and “Wang, Lei” have published 5 and 6 articles, respectively. In coauthorship of authors, "Liu, Chunguang" had the highest number of citations (194). "Shi, Yumeng". 29 authors (82%) have a total link strength of ≤ 12, while 6 authors (17%) have a link strength of 14. 4.3. Cooccurrence of Keywords The identification of research themes, trends, and relationships within a field can be facilitated through the analysis of keyword cooccurrence in bibliometric studies. This tool facilitates the identification of shared research domains, interdisciplinary linkages, and emerging subjects, thereby offering valuable perspectives for researchers, policymakers, and stakeholders in influencing research trajectories and fostering collaborative efforts. Seventy-seven keywords were identified across all articles, with an occurrence of 2 or more (Fig. 8 ). The keyword “microplastics” frequency was the highest, appearing 29 times. It was followed by the keyword “fibers” which appeared 21 times, “deposition” with 18 occurrences, “atmospheric fallout” with 12 occurrences, “dust” with 11 occurrences, “pollution” with 10 occurrences, “Chin”" and “exposure” with 9 occurrences each, “indoor” and “ingestion” with 8 occurrences each, “health” with 7 occurrences, “airborne microplastics” with 7 occurrences, and “indoor dust” with 6 occurrences, among others. The microplastics keyword demonstrated the highest aggregate link strength, reaching a value of 167, followed by fibers at 155, deposition at 133, dust at 96, atmospheric fallout at 89, pollution at 79, china at 78, and ingestion at 72. 4.4. Highest Cited Articles in Indoor Environments In bibliometric analysis, the most frequently cited papers show the significance, influence, and effect of research in an area. They act as standards for assessing the importance of academic work, aiding scholars in locating groundbreaking research, and offering perceptions of the developments and patterns that create the knowledge landscape. A minimum of 10 documents were selected, each containing at least 10 citations. The top 10 research articles were chosen (Fig. 9 ). Dris et al. ( 2017 ) received the highest number of citations, totaling 533. This study examines fibers' characteristics and behavior in indoor and outdoor settings. The study also examined the rate at which fibers are deposited indoors and their concentration in dust samples collected from vacuum cleaner bags. Vianello et al. ( 2019 ) authored the second highly cited article, which has garnered 221 citations. In their study, the authors investigate the extent to which humans are exposed to indoor airborne MPs by employing a Breathing Thermal Manikin, followed by (Liu et al., 2019 ) 182 citations, (Zhang et al., 2020 ) 124 citations (Zhang et al., 2020 ) 101 citations, Meanwhile, the remaining five articles exhibited citation counts below 100. 4.5. Top Affiliations, Authors, Countries, and Funding Agencies The top affiliation, authors, countries, and funding agencies in bibliometric analysis are significant because they show how research output, partnership patterns, and financial support are spread out. They help find top universities, influential researchers, areas for research, and funding trends. This helps make decisions, allocate resources, and plan for the future in academics and research policy. A bibliometric analysis was conducted to examine the prominent affiliations, authors, countries, and funding agencies that make significant contributions to the field of indoor MPs. Among the top 10 affiliations, 40% (4 out of 10) were from China, while 30% (3 out of 10) were from Spain. Nankai University has published the highest number of articles, totaling nine. The authors Wang, Lan, and Sun, who emerged as the most prolific contributors in published articles, hailed from China. However, the remaining authors each published a maximum of three articles and hailed from various countries, including Korea, the United Kingdom, Portugal, Iran, and Brazil (Table 2 ). China emerged as the foremost contributor in published articles (34) in indoor MPs, with the United States and England following closely behind with 11 articles each. Conversely, other countries such as Germany, South Korea, Australia, Iran, Italy, Netherlands, and France published fewer than 10 articles in this domain. China appeared as the top country in terms of funding agencies, with a total of 32 published articles from 3 funding resources. In comparison, the United Kingdom secured the second position with 10 articles from three funding sources. The remaining funding agencies comprised entities from Portugal, the European Commission, and Australia (Table 2 ). China was the leading country in terms of published articles. The reason can be that each China has a maximum of universities, authors, and funding agencies among the top ten leading published articles. In contrast, for the rest of the countries, their contribution from universities, authors, and funding agencies were less than China. The country's funding for scientific projects plays a vital role in the scientific world by increasing the university's scientific production by supporting scientific projects. Table 2 Top affiliations, authors, countries, and funding agencies contributed to the field of indoor microplastics NO. Affiliations Published articles Authors Published articles Countries Published articles Funding Agencies Published articles 1 Nankai University (China) 9 Wang L (China) 9 Peoples of the Republic of China 34 National Natural Science Foundation of China Nsfc (China) 24 2 Shiraz University (Iran) 4 Sun H (China) 7 USA 11 Uk research Innovation Ukri (United Kingdom) 4 3 East China Normal University (China) 4 Kim H (Republic of Korea) 3 England 11 National Key Research and Development Program of China (China) 5 4 Chinese academic of science (China) 3 Kelly FJ (United Kingdom) 3 Germany 7 Natural Environment Research Council Nerc (United Kingdom) 3 5 University of Aveiro (Portugal) 3 Jenner LC (United Kingdom) 3 South Korea 6 Fundacao Para A Ciencia EA Tecnologia Fct (Portugal) 3 6 Ministry of natural resources of the People’s Republic of China (China) 3 Duarte AC (Portugal) 3 Australia 6 Medical Research Council Uk Mrc (United Kingdom) 3 7 Institute for Technological Research IPT (Brazil) 3 Da Costa JP (Portugal) 3 Iran 5 111 Program Ministry of Education China (China) 3 8 Spanish National Research Council (Spain) 3 Abbasi S (Iran) 3 Italy 5 European Commission 3 9 Centro de investigacon y Desarrollo pascual vila - CID CSIC (Spain) 3 Amato-Lourenco LF (Brazil) 3 Netherlands 5 European Social Fund Esf 3 10 Instituto de Diagnóstico Ambiental y Estudios del Agua - CSIC (Spain ) 3 Carvalho-Oliveira R (Brazil) 3 France 4 Australian Government (Australia) 2 4.6. Top Publishers and Journals The significance of top publishers and journals in bibliometric analysis is their ability to indicate research quality, visibility, and impact. Benchmarks are utilized to evaluate research productivity, influence, and collaboration and hold significant importance in shaping academic reputation, career progression, and decisions regarding research funding. Journals are essential in showing the number of articles published and their total citations. Elsevier emerged as the predominant publisher with the most published articles, totaling 53. The remaining nine top publishers have published fewer than nine articles. Most researchers have chosen to publish their work in journals affiliated with Elsevier. The preeminent scholarly publication in this field was the Science of the Total Environment, consisting of nine published articles. In contrast, the number of published articles in the other journals was equal to or less than five. Most of the journals that featured articles on indoor MP were highly regarded, with a significant proportion falling within the top quartile (Q1) and possessing impact factors exceeding 5 (Table 3 ). Table 3 Top publishers and Journals which published articles on indoor microplastics NO. Publishers Published Articles Journals (Quartiles-Impact factor/2022) Published Articles 1 Elsevier 53 Science of the Total Environment (Q1-9.8) 9 2 Amer Chemical Soc 9 Environmental Pollution (Q1-8.9) 5 3 Springer Nature 9 Journal of Hazardous Materials (Q1-13.6) 5 4 Mdpi 6 Environment International (Q1-11.8) 3 5 Royal Soc Chemistry 2 Environmental Science & Technology (Q1-8.9) 3 6 Science Press 2 Toxics (Q1/Q2-4.6) 3 7 Wiley 2 Water Air and Soil Pollution (Q2/Q3-2.9) 2 8 Bangladesh Botanical Soc 1 Marine Pollution Bulletin (Q1-5.8) 2 9 Geomate Int Soc 1 10 Polish Soc Ecological Engineering 1 5. Conclusion and Recommendations This literature analysis highlights the critical aspects of indoor MP studies, including sampling methods, pretreatment procedures, QC measures, identification techniques, concentration characteristics, and bibliometric analysis of the published literature. It underscores the need for standardized protocols and comprehensive QC practices to ensure reliable and comparable study results. The presence of MPs in indoor environments is a concerning environmental issue, and further research is necessary to deepen our understanding of its implications and develop effective mitigation strategies. The analysis of the literature review on indoor articles revealed that approximately 45.24% of indoor articles had conducted pretreatment on their samples. The works comprising 16.67% of the total have not undergone any pretreatment. The experimental results indicate that a combination of density separation and acidic digestion was employed to treat the samples comprising 2.38% (NaCl + NaI), 9.52% (ZnCl 2 + H 2 O 2 ), and 4.76% (NaI + H 2 O 2 ). Nile red has also been employed in studies to characterize MPs. Nine distinct types of filter membranes have been employed in indoor MP studies. Most studies have employed Whatman Glass microfiber filters (41.67%). Other frequently utilized filters include PTFE membranes (12.5%), Silver membranes (12.5%), Cellulose ester membranes (8.33%) etc. The literature review analysis suggests that 17 articles incorporated blank samples in their research, while 8 articles did not include blank samples. Notably, most studies (23) did not integrate blank results within their actual samples. In the samples of 16 studies, no MP was identified. A total of 9 studies successfully detected MPs in their respective blank samples, while 6 studies incorporated the results from blank samples into their actual samples. Indoor MP studies have used different instruments to identify MPs for physical, chemical, and elemental characterization. Most of the indoor studies have used µ-FTIR (19.23%), followed by Stereomicroscope (17.31%), fluorescent microscope (9.62%), FTIR (9.62%), µ-Raman (7.69%), etc. Most of the indoor studies did not report the color in their results. Transparent, red, black, green, blue, brown, orange, grey, and purple were the dominant type of MP colors. The dominant MPs identified in indoor environments were PA, PP, PE, PS, PC, PUR, PET, PES, Acr, and PVC. Indoor MPs have been classified into nine distinct shapes: fiber, fragments, granules, films, spheres, foams, beads, sheets, and pellets. Fiber has emerged as the predominant type of MP, accounting for 37.1% of the total, followed by fragments (29.03%), films (12.9%), and other categories. The bibliometric analysis conducted on indoor MPs provides valuable insights into this field's research landscape and trends. The analysis reveals a growing interest in indoor MPs, with a notable increase in publications since 2020. Researchers are actively exploring the occurrence of MPs in indoor environments and their impact. Collaboration among multiple authors is vital for comprehensive research outcomes and addressing the complex MP pollution issue. Coauthorship patterns highlight the importance of collaborative expertise in indoor MP research. It identifies key authors who have made significant contributions, with a few authors standing out for their high publication output. These findings emphasize the need for interdisciplinary collaboration and knowledge exchange among researchers in this field. The prevalence of keywords such as microplastics, fibers, deposition, and pollution underscores the focus on understanding indoor MPs' sources, behavior, and impacts. This analysis can guide researchers and policymakers in shaping research trajectories and fostering collaborative efforts. The identification of highly cited articles demonstrates the significance and influence of research in the field of indoor MPs. These articles are benchmarks for assessing research importance and can guide researchers in locating groundbreaking work. Researchers should focus on these highly cited articles and build upon their findings to advance knowledge in this field. The analysis of top affiliations, authors, countries, funding agencies, publishers, and journals provides insights into the key contributors to indoor MP research. China has emerged as a leading country regarding publications, affiliations, authors, and funding agencies. This suggests a strong emphasis on indoor MP research in China. Understanding the research output, partnership patterns, and financial support in this field can help with decision-making, resource allocation, and planning for future research and policy development. Based on the findings presented in this review article, the following recommendations can be made: Standardization of Protocols: There is a need for standardized protocols for sampling, pretreatment, and identification of MPs in indoor environments. Consistency in methodologies will facilitate better comparison and interpretation of results, allowing for a more comprehensive understanding of indoor MP pollution. Enhanced Quality Control: Implementing rigorous QC measures, including blank samples, is crucial to identify and account for potential contamination. Researchers should incorporate blank samples to ensure accurate assessment and minimize false positives. Comparative Studies: More comparative studies are required to investigate the variations in indoor MP concentrations across different environments and sample types. This will contribute to a broader understanding of the factors influencing MP presence indoors and guide targeted mitigation efforts. Long-Term Monitoring: Long-term monitoring programs should be established to assess temporal variations in indoor MP pollution. Such programs will provide valuable insights into seasonal and annual trends, helping identify potential sources and develop effective management strategies. Public Awareness and Education: Public awareness about indoor MP pollution is essential. Educating individuals about the sources, risks, and preventive measures associated with indoor MPs will promote responsible consumption, waste management, and behavior changes that can reduce MP contamination. Based on the findings of the bibliometric analysis on indoor MPs, the following recommendations are suggested: Encourage interdisciplinary collaboration: Given the complex nature of MP pollution, interdisciplinary collaboration should be fostered to leverage diverse expertise and address the multifaceted challenges associated with indoor MPs. Foster knowledge exchange: Researchers and policymakers should actively engage in knowledge exchange platforms, conferences, and workshops to share findings, insights, and best practices related to indoor MP research. This will promote collaboration and the dissemination of knowledge in the field. Support emerging research areas: As the number of publications on indoor MPs is expected to increase in the coming years, it is essential to support emerging research areas within this field. Funding agencies should allocate resources to support studies investigating emerging trends, innovative methodologies, and understudied aspects of indoor MP pollution. Strengthen international collaborations: Given the global nature of MP pollution, international collaborations should be encouraged to facilitate data sharing, comparative studies, and harmonized approaches to addressing indoor MP pollution. This will contribute to a more comprehensive understanding of the issue and the development of effective mitigation strategies. Promote open-access publishing: To ensure wider accessibility to research findings on indoor MPs, researchers, and publishers should consider open-access publishing options. This will facilitate knowledge dissemination and allow policymakers, stakeholders, and the public to access the latest research on indoor MP pollution. By implementing these recommendations, researchers, policymakers, and stakeholders can further advance knowledge, address gaps, and develop evidence-based strategies to effectively tackle the issue of indoor MP pollution, leading to healthier indoor environments and a more sustainable future. Abbreviations Acrylic = Acr Acrylonitrile Butadiene Styrene = ABS Attenuated total reflectance Fourier transform infrared spectroscopy = ATR-FTIR Celloluse = CL Cellophane = CE Cellulose acetate = CA Cellulose triacetate = CTA Cotton = CO Energy Dispersive X-Ray Analysis = EDX Epoxy resin = EP Ethylene vinyl acetate = EVA Ethylene-polypropylene = EPR Ethylene-propylene-diene-monomer = EPDM Microplastics = MPs Phenolic Resin = PF Phenoxy resin = PR Poly (ethylene:propylene) = PEP Poly tetrafluoroethylene = PTFE Polyacrylonitrile = PAN Polyamide = PA Polycarbonate = PC Polyester = PES Polyethylene = PE Polyethylene terephthalate = PET Polyethylenimine = PEI Polylactic acid = PLA Polypropylene = PP Polystyrene = PS Polysulfone = PSU Polyurethane = PUR Polyvinyl acetate = PVAc Polyvinyl alcohol = PVA Polyvinyl chloride = PVC Quality assurance = QA Quality control = QC Rayon = RAY Resin = RC Rubber = RB Scanning electron microscope = SEM Declarations Funding This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Ethical approval Not applicable. Declaration of competing interest The author declares that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Consent to participate Not applicable. Consent for publication Not applicable. Contribution Mansoor Ahmad Bhat: Conceptualization, Methodology, Software, Data curation, Formal analysis, Validation, Visualization, Writing-original draft, Writing-review & editing. References Abbasi, S., Keshavarzi, B., Moore, F., Turner, A., Kelly, F.J., Dominguez, A.O., Jaafarzadeh, N., 2019. Distribution and potential health impacts of microplastics and microrubbers in air and street dusts from Asaluyeh County, Iran. Environ. Pollut. 244, 153–164. https://doi.org/10.1016/j.envpol.2018.10.039 Abbasi, S., Turner, A., Sharifi, R., Nematollahi, M.J., Keshavarzifard, M., Moghtaderi, T., 2022. Microplastics in the school classrooms of Shiraz, Iran. Build. 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BHAT","email":"data:image/png;base64,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","orcid":"https://orcid.org/0000-0001-7868-448X","institution":"Eskisehir Technical University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"MANSOOR","middleName":"AHMAD","lastName":"BHAT","suffix":""}],"badges":[],"createdAt":"2023-09-21 15:44:10","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":true,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false,"coiExplicitlySet":false},"doi":"10.21203/rs.3.rs-3376389/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3376389/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":43552685,"identity":"944ab073-afd6-4d4a-bd81-f1fe95aba4cb","added_by":"auto","created_at":"2023-09-22 19:25:57","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":201238,"visible":true,"origin":"","legend":"\u003cp\u003ePretreatment of indoor microplastics summarized from the published literature\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/ac6b01f0afef7a40074b70a4.jpeg"},{"id":43555999,"identity":"98ab6bdd-1a03-4b6b-af88-a044a08c1924","added_by":"auto","created_at":"2023-09-22 19:49:57","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":247936,"visible":true,"origin":"","legend":"\u003cp\u003eFrequency of different filter membranes used in indoor microplastic studies\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/c6e56f730a68c8ce446845b7.png"},{"id":43555685,"identity":"33e43de2-22d4-4584-8a7d-3105f4b26fc6","added_by":"auto","created_at":"2023-09-22 19:41:57","extension":"jpeg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":112188,"visible":true,"origin":"","legend":"\u003cp\u003eQuality control procedures in indoor microplastics studies\u003c/p\u003e","description":"","filename":"floatimage3.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/d29ae885e451eb2fe80e66de.jpeg"},{"id":43554854,"identity":"34874cb0-ae0f-4cfe-a9aa-d7b4f708386c","added_by":"auto","created_at":"2023-09-22 19:33:57","extension":"jpeg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":201758,"visible":true,"origin":"","legend":"\u003cp\u003eRelative frequency of identification methods used in indoor microplastic studies\u003c/p\u003e","description":"","filename":"floatimage4.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/7a789be9d5ef037e2aac9c39.jpeg"},{"id":43552684,"identity":"fdd1ab47-be2a-4317-9753-3b3a74173e6c","added_by":"auto","created_at":"2023-09-22 19:25:57","extension":"jpeg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":173577,"visible":true,"origin":"","legend":"\u003cp\u003eShapes of microplastics found in indoor environments of microplastics studies\u003c/p\u003e","description":"","filename":"floatimage5.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/d88f1bd526b4af54d82ee8c7.jpeg"},{"id":43552680,"identity":"8701df46-614b-404d-baf2-4dd29f626a8c","added_by":"auto","created_at":"2023-09-22 19:25:57","extension":"jpeg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":103452,"visible":true,"origin":"","legend":"\u003cp\u003eThe cumulative rate of publications in indoor environments with their citations\u003c/p\u003e","description":"","filename":"floatimage6.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/767202735f242938522253d3.jpeg"},{"id":43552686,"identity":"cae4aa6b-795f-4ff1-aa05-63f78edac2e5","added_by":"auto","created_at":"2023-09-22 19:25:57","extension":"jpeg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":85911,"visible":true,"origin":"","legend":"\u003cp\u003eBibliometric analysis showing the coauthorship of authors\u003c/p\u003e","description":"","filename":"floatimage7.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/5cd50c2f8124c38347e4cf31.jpeg"},{"id":43552694,"identity":"adf9ef4e-23e3-4fac-bf8b-7331ab7ef85f","added_by":"auto","created_at":"2023-09-22 19:25:57","extension":"jpeg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":205697,"visible":true,"origin":"","legend":"\u003cp\u003eBibliometric analysis showing the co-occurrence of keywords\u003c/p\u003e","description":"","filename":"floatimage8.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/22038e155f1960a13a9db6c3.jpeg"},{"id":43554857,"identity":"423f660c-0be4-4e73-93ec-1997aacf3ec6","added_by":"auto","created_at":"2023-09-22 19:33:57","extension":"jpeg","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":81796,"visible":true,"origin":"","legend":"\u003cp\u003eTop 10 cited articles from indoor environments\u003c/p\u003e","description":"","filename":"floatimage9.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/0056a52a60e3084b037251ce.jpeg"},{"id":43556187,"identity":"842e1b84-8a12-4907-ad03-e13a63134402","added_by":"auto","created_at":"2023-09-22 19:57:58","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1300051,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3376389/v1/894b039c-d861-4dd6-baf9-9c1f3768a63b.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eIndoor Microplastics: A Comprehensive Review and Bibliometric Analysis\u003c/p\u003e","fulltext":[{"header":"Highlights","content":"\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eHigher concentrations of MPs were seen indoors than outdoors, and fibers were the predominant shape of MPs (37.1 % of studies) in indoor environments.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eLower-size MPs (1 - 100 \u0026micro;m) mostly had a higher concentration.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eMPs were mainly characterized using a \u0026micro;-FTIR (19.23 %).\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eThe number of blank samples used in most research was not reported.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eIndoor MP analysis requires standardization.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e"},{"header":"1. Introduction","content":"\u003cp\u003eThe issue of microplastics (MPs) and microscopic plastic particles, which are less than 5 mm in size, has become a substantial environmental concern due to their widespread pollution in natural ecosystems. Nevertheless, the issue of MP has expanded to encompass indoor environments, such as residential dwellings, commercial establishments, and public buildings (Bhat, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The indoor environment, which includes houses, businesses, markets, transportation, etc., is essential to contemporary human existence since people spend so much time inside (up to 90% or more) (Bhat et al., 2022; Klepeis et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). MP expansion in these indoor environments is due to the widespread recognition of these spaces as potential sources of MP contamination (Bhat, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Bhat et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Fang et al., \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Kashfi et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). The MPs can originate from primary sources, such as plastic beads and synthetic fibers that are intentionally manufactured in microscopic sizes, as well as secondary sources, which include the environmental degradation of larger plastic pieces that ultimately yield MPs (Bhat et al., 2023). MPs can exist in various shapes, such as pellets, films, foam, fragments, and microbeads. The most commonly manufactured plastics are polypropylene (PP), polyethylene (PE), polyethylene terephthalate (PET), polystyrene (PS), polyurethane (PUR), polyvinyl chloride (PVC), and polycarbonate (PC). The presence of MPs in indoor environments is a matter of significant concern due to the potential risks they pose to human health and the environment.\u003c/p\u003e \u003cp\u003eOne of the essential parts of studying MPs in the indoor environment is determining their sources. Although the literature on their sources is limited, some basic information is enough to analyze the problem. The primary sources of MPs in the indoor environment include synthetic textiles, the finishes used on household items, and cleaning materials (Bhat et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Chen et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Clothing, bedding, curtains, carpets, and other items made from synthetic or semi-synthetic fibers such as acrylic (Acr), PA, PES, polyolefin, elastane, or rayon (RAY) are some of the most common contributors to microfibres released into indoor air, typically through shedding during daily movement and use (Bhat et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Zhang et al., \u003cspan citationid=\"CR79\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Release from the synthetic material happens in all indoor environments, whether homes or businesses. Its density depends on how many people live there and how much air moves through it. Another source of indoor MPs is the deterioration of all surface finishes, including wall and ceiling paints, PVC and PUR flooring, wallpapers, other plastic goods, kitchen plastic utensils like scouring pads, brushes, and towels, and basic multipurpose hygiene products. MPs are frequently released from these surfaces when used, cleaned, rubbed, cut, scratched, or maintained (Bhat, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Lassen et al., \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). The density of MPs discharged into the indoor air is determined by the frequency with which they are used, maintained, and cleaned. MPs will be produced more significantly in residential kitchens than in comparable office facilities. Offices will produce more MP pollution associated with electronic equipment, printing, shredding etc (Kacprzak and Tijing, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Indoor environments are also sensitive to outside MPs sources, such as industrial or agricultural emissions specific to those industries' operations, and include MPs. The other typical external contaminant problem in many interior settings is traffic MPs from automobile tires (Tamis et al., \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Indoor spaces near busy highways are particularly prone to MP contamination from traffic. Although these sources are born externally, they may easily penetrate these spaces. These MPs can penetrate indoor environments through multiple entry points, including ventilation systems, interior activities such as cleaning and cooking, and the infiltration of outdoor air. MPs have the potential to accumulate on diverse indoor surfaces such as floors, carpets, and furniture, and can also be inhaled or ingested by individuals. The extent of indoor air pollution caused by MP within a building is influenced by various factors, such as the geographical and architectural characteristics of the building, the efficiency of its ventilation system, and the nature of activities conducted within its premises. The issue of MP contamination has frequently been attributed to indoor environments (Bhat, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Gaston et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Ouyang et al., \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe presence of MPs in indoor environments has been investigated by examining dust, air, and deposition samples. Dris et al. (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) detected the presence of PA, PP, and PE MPs in apartments, offices, and house dust in France. The concentrations of these MPs ranged from 190\u0026ndash;670 fibers mg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. In another study, Nematollahi et al. (2021) detected the presence of PET, PP, PS, and PA in dust samples collected from schools in Iran. The concentrations of these MPs ranged from 10\u0026ndash;635 MPs g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. Gaston et al. (\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) identified the presence of PVC, PE, PS, PC, PA, and acrylonitrile butadiene styrene (ABS) in indoor air samples collected from university and hospital environments. The concentrations of these MPs were measured as fibers (3.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9 fragments m\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e) and (12.6\u0026thinsp;\u0026plusmn;\u0026thinsp;8.0 fragments m\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e). In a recent study conducted by Uddin et al. (\u003cspan citationid=\"CR69\" class=\"CitationRef\"\u003e2022\u003c/span\u003e), it was observed that the concentrations of PES and PA in air samples collected from various locations in Kuwait, including government buildings, residential dwellings, hospitals, and mosques, ranged from 3.24\u0026ndash;27.13 MP m\u003csup\u003e3\u003c/sup\u003e. Yao et al. (\u003cspan citationid=\"CR77\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) conducted an indoor deposition study wherein they observed the presence of PS, PET, PE, PVC, and PP MPs. The concentrations of these fibers ranged from (6.20\u0026thinsp;\u0026plusmn;\u0026thinsp;0.57) \u0026times; 10\u003csup\u003e3\u003c/sup\u003e to (1.96\u0026thinsp;\u0026plusmn;\u0026thinsp;1.09) \u0026times; 10\u003csup\u003e4\u003c/sup\u003e fibers m\u003csup\u003e\u0026minus;\u0026thinsp;2\u003c/sup\u003eday\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e in various university environments (i.e., office, hallway, classroom) as well as in residential houses. In another indoor deposition study, Fang et al. (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) discovered the presence of PET, PE, and PA MPs at a concentration of (7.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.9) \u0026times; 10\u003csup\u003e5\u003c/sup\u003e MPs m\u003csup\u003e\u0026minus;\u0026thinsp;2\u003c/sup\u003e day\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e in various indoor environments in China, including dining rooms in apartments, dining halls on campuses, restaurants, offices, and classrooms.\u003c/p\u003e \u003cp\u003eDespite a lack of empirical evidence concerning the adverse effects of MP pollution, it is crucial to recognize their potential as a significant concern, considering the continuous rise in their levels. Several studies have confirmed the presence of MPs in aquatic ecosystems. However, limited research has been conducted on airborne MPs in terrestrial environments, specifically indoor air environments (Bhat et al., 2023; Kacprzak \u0026amp; Tijing, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). A significant amount of studies, exceeding 96%, focus on examining MPs within marine and aquatic ecosystems. It is explicitly acknowledged that the primary source of these MPs in such environments is terrestrial. Nevertheless, there appears to be a lack of emphasis on research about MP within terrestrial ecosystems (Xu et al., \u003cspan citationid=\"CR76\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Although there is limited research and data on the assessment of MP prevalence and quantity in indoor environments, some studies have found significantly higher levels of MP content in air and dust samples collected from various indoor environments compared to outdoor environments (Kacprzak and Tijing, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; O\u0026rsquo;Brien et al., \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). A total of thirty-two research articles have been published on the subject of ambient air in outdoor environments. In comparison, a comparatively smaller number of eleven research articles have been published on indoor environments. Nine research studies have been conducted on indoor dust, whereas twenty-eight have been conducted on outdoor dust (O\u0026rsquo;Brien et al., \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The investigation of the impact of MPs on the human digestive system has primarily focused on exposure through contaminated food, particularly seafood, while inhalation exposure has received comparatively less attention in academic research (Bhat et al., 2022; Prata et al., \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Rahman et al., \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). According to some researchers, people exposed to indoor MPs inhale an average of 26\u0026ndash;130 airborne MPs daily (Prata, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Cox et al. (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) identified an average concentration of 9.8 MPs per m\u003csup\u003e3\u003c/sup\u003e; the results showed that males and females were exposed to 170 and 132 MPs per day, respectively, while male and female children were exposed to 110 and 97 MPs per day. Based on an average global airborne MPs concentration of 0.685 particles/m\u003csup\u003e3\u003c/sup\u003e and a breathing rate of 8.64 m\u003csup\u003e3\u003c/sup\u003e per day, Domenech and Marcos calculated a relatively low global human daily inhalation intake of 5.9 MPs per day (Domenech and Marcos, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Other researchers have suggested that the number might reach as high as 272 MPs per day (Vianello et al., \u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Different sampling techniques and environments may be the leading causes of the variability. Other factors such as how a space is used and occupied, the type of ventilation used, where the sampling equipment was placed, how much outside air entered the indoor environment, and the accumulation of primary and secondary MPs may also have impacted the results' variability.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eHuman reactions to inhaled MPs include chronic inflammation like bronchitis and allergic reactions like asthma or pneumonia (Kacprzak and Tijing, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Inhaled MPs in the body can be removed by clearing systems like sneezing, phagocytosis, lymphatic transport, and mucociliary escalator. Still, people with weak immune systems are more likely to experience chronic inflammation due to the accumulation of MPs in their bodies (Prata, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Even though the human body has clearing systems, removing MPs, especially fibers, is difficult because these particles have a large surface area. They are transporters of various contaminants because of their larger surface areas. They adsorb contaminants, such as pathogenic microorganisms, and release them, making them more hazardous (Bhat et al., 2023; Prata, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). The large surface area of airborne MPs makes them dangerous, regardless of whether or not they have oxidative organisms or other harmful compounds adsorbing to their surface. When the body's clearance system is compromised, MPs can be toxic through various mechanisms, including dust overload, oxidative stress, cytotoxicity, disruption of metabolism, and translocation. Furthermore, the MPs' persistent nature makes removal difficult, which in turn causes inflammatory responses. The presence of chronic inflammatory lesions may facilitate the onset of malignancy. Inflammation, followed by translocation or cancer, might result from any route of exposure, including the skin, inhalation, or digestion (Prata et al., \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Studies document MPs in human intestinal tracts, placental tissue, blood, and lung tissue, though effects on humans remain largely unknown (Ibrahim et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Leslie et al., \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Pauly et al., \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e1998\u003c/span\u003e; Ragusa et al., \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Despite limited knowledge of the effects of human exposure to airborne MPs, it is clear that exposure to MPs may be associated with an increased incidence of many diseases, such as immune disorders, neurodegenerative diseases, cardiovascular diseases, congenital disorders, or cancers, and due to their bioresistance and biopersistence characteristics, they may be difficult to remove from the bodies (Amato-Louren\u0026ccedil;o et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Even evaluating the potential risks MPs pose to human health is a complicated procedure that requires an analysis of the toxicity, exposure, and classification of hazards. The potential adverse effects of MPs on human and environmental health are becoming an increasing source of worry and call for more study and regulatory action (Bhat et al., 2023; Eraslan et al., \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The true potential of indoor MPs is still very unclear and inconsistent.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eThe present study involved the collection of literature that quantifies MPs in indoor environments. The collected data was organized based on publication year, synthesized, and subjected to statistical analysis. The study examined the macro trends or similarities by analyzing the varying sampling and analytical methods, concentrations, and morphological information of identified plastics, including their shape and size, as well as the diverse polymer compositions of MPs in indoor environments. Moreover, the presence of knowledge gaps was subsequently recognized, leading to the presentation of future research directions aimed at facilitating knowledge acquisition in this developing field.\u003c/p\u003e"},{"header":"2. Material and Methods","content":"\u003cp\u003eThe current investigation utilized a traditional search mechanism, Web of Science, to locate scientific research examining MPs in different indoor environment aspects, such as ambient air, fallout, and dust. The Web of Science database is widely utilized for empirical metrology. This database has been commonly employed across various disciplines in numerous bibliometric studies (Bhat et al., 2023; Eraslan et al., \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The search strategy employed involved the utilization of pertinent keywords, specifically \"Microplastics\" and \"Indoor,\" within the time frame spanning from 2004 to 18/04/2023. The study retrieved 123 articles, comprising 29 review articles, 2 editorial materials, 1 proceeding paper, and 91 research articles. The literature was peer-reviewed and published. The bibliometric analysis excluded review articles, editorial material, and proceeding papers. These research articles are indexed in Science Citation Index Expanded (85), Emerging Sources Citation Index (5), and Social Sciences Citation Index (1). Bibliometric analysis entails the categorization of an article based on specific characteristics.\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eThe phenomenon of coauthorship among authors. A total of 35 authors were found to have a minimum of two documents attributed to them.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCo-occurrence of all keywords. The occurrence of keywords was greater or equal to 2.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eThe minimum number of documents selected was 10, with a minimum of ten citations, and the top 10 research articles were selected.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eThe minimum number of articles per journal was two or more, and the top ten journals were selected.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eA comprehensive review of all collected research articles was conducted to verify that each article pertained exclusively to indoor dust, fallout, and ambient samples. A total of 28 articles were subjected to statistical analysis, as certain articles focused on masks in indoor environments, aging of MPs in indoor environments, air conditioner filters, quality control (QC) and assurance(QA) of indoor MPs, indoor air quality, and the interaction of MPs with microorganisms in indoor environments or were reviewed papers and did not pertain to indoor dust, deposition, and ambient samples. The entirety of the articles were composed in the English language. The data analysis and graphical representations were conducted utilizing Microsoft Excel and Origin (2018). The bibliometric analysis was conducted utilizing the VOSviewer software.\u003c/p\u003e"},{"header":"3. Review Literature Analysis","content":"\u003cp\u003eThe literature analysis holds significant significance in indoor MP studies because it provides a comprehensive synthesis of existing research, offering valuable insights and facilitating the consolidation of knowledge. This tool enables researchers to discern deficiencies in knowledge, investigate patterns, and assess the general condition of the discipline. By examining existing scholarly literature, researchers can acquire a more comprehensive comprehension of the origins, routes, and possible health ramifications associated with MPs found indoors. It facilitates the identification of research gaps and guides future inquiries. Literature analysis in policymaking plays a crucial role by facilitating empirical evidence to inform decision-making processes and formulate impactful strategies to address indoor MP pollution and safeguard human well-being.\u003c/p\u003e\n\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\n\u003ch2\u003e3.1. Sampling and Pretreatment of Samples\u003c/h2\u003e\n\u003cp\u003eThe sampling methodology adopted for indoor MPs varied between studies. MPs in the air can be collected using passive or active sampling. Active sampling uses a pumping sampler, whereas passive sampling entails a collection column or funnel, a receiving tube, and a final collection bottle. The active sampling technique can efficiently reduce the sample period and offer data on the MPs in the air mass that might not settle. The passive sampling method provides information about the MPs falling onto the surface. Hence, passive sampling to collect atmospheric deposition is recommended in conjunction with active sampling to gain a complete picture of air MP content. A sampling pump has been used for active sampling in many indoor environments like universities, hospitals, apartments, offices, classrooms, transit station waiting halls, living rooms, office rooms, nail salons, and mosques (Chen et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e; Liao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e; Uddin et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Xie et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). Dust and deposition involved using vacuum cleaning, directly exposing filters, vacuum cleaner bags, glass petri dishes, and directly sweeping the floor with a nylon brush, horsetail brush, hog bristle brush, or steel dustpan (Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e; Kashfi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Liu et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) in indoor environments like apartments, office, homes, bedrooms, living rooms, dining rooms in an apartment, the dining hall in campus, restaurant, and classrooms.\u003c/p\u003e\n\u003cp\u003eVarious methods are employed for the pretreatment of indoor MPs, such as sieving, digestion, density separation, filtration, and drying. The objective of the pretreatment procedure is to segregate MPs from other contaminants, eradicate the pollutants adhered to MP, intensify the concentration of MPs, and facilitate the identification of MPs (Bhat et al., 2022, 2023; Luo et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). The analysis of the literature review on indoor articles (28) revealed that approximately 45.24% of these articles had conducted pretreatment on their samples. This pretreatment typically involves the utilization of chemicals for processes such as density separation or digestion. The works comprising 16.67% of the total have not undergone any pretreatment. The experimental results indicate that a combination of density separation and acidic digestion was employed to treat the samples comprising 2.38% (NaCl\u0026thinsp;+\u0026thinsp;NaI), 9.52% (ZnCl\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;+\u0026thinsp;H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e), and 4.76% (NaI\u0026thinsp;+\u0026thinsp;H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e). Nile red has also been employed in studies to characterize MPs (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Nile Red is crucial in MP analysis as it is a fluorescent dye that selectively binds to plastic particles, enhancing their visibility under fluorescent microscopy. This enables efficient identification and quantification of MPs, aiding in understanding their distribution, impact, and environmental mitigation strategies.\u003c/p\u003e\n\u003cp\u003eTo minimize losses in cases where the suspended aerosols concentrated on glass microfiber filters have fewer impurities, it is advisable to exclude density separation and digestion (Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e; Liu et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Wang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). While digestion and density separation is necessary, it is advised to concentrate the processed sample for visual inspection using gridded membrane filters with smooth surfaces (such as mixed cellulose ester membranes) (Luo et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). The sample can be identified and processed without pretreatment methods such as sieving, digestion, density separation, and filtration. This approach eliminates the potential for contamination caused by the pretreatment process. Notably, the surface characteristics of MPs may be modified by acidic digestion, which could conceivably impact their analysis or interpretation. However, Xie et al. (\u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) highlight that the samples should be treated with dilute hydrochloric acid to remove the calcium carbonate, which may generate noise during Raman spectroscopy. Luo et al. (\u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) reviewed the literature and found that in total suspended particulates (suspended aerosol), just four studies have done pretreatment steps like acidic digestion and one density separation. In dust deposition (atmospheric deposition) by using a brush and metallic pan, one study has done acidic digestion and two-density separation. By vacuum cleaning, one has done acidic digestion and three-density separation steps.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\n\u003ch2\u003e3.2. Filter membranes in indoor studies\u003c/h2\u003e\n\u003cp\u003eThe process of filtration can effectively concentrate MPs onto the filter membranes. Filters play a crucial and indispensable role in analyzing MPs as they facilitate the segregation and enrichment of plastic particles from samples obtained from the environment. These entities function as a tangible obstruction, effectively entrapping larger particles while permitting the passage of smaller ones. Filters play a crucial role in enhancing the effectiveness of the extraction and subsequent analysis of MPs, thereby enabling a precise evaluation and understanding of their prevalence, chemical makeup, and potential environmental consequences. The presence of filters may influence the analysis of MPs when using instrumentation. The utilization of filters can potentially result in background noise, disruption of instrument sensitivity, or spectral interference, particularly in the context of spectroscopic methodologies such as FTIR or Raman spectroscopy. The filter material has the potential to introduce background signals or display peaks that overlap with the spectra of MPs, thereby impacting the precision of their identification and quantification. To obtain dependable results in MP analysis, it is imperative to consider the filter material and carry out appropriate instrument calibration and validation. This is necessary to account for any potential effects caused by the filter and ensure the analysis outcomes' reliability. Nine distinct types of filter membranes have been employed in indoor MP studies. Most studies have employed Whatman Glass microfiber filters (41.67%). Other frequently utilized filters include PTFE membranes (12.5%), Silver membranes (12.5%), Cellulose ester membranes (8.33%) etc (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\n\u003ch2\u003e3.3. Quality Control and Assurance\u003c/h2\u003e\n\u003cp\u003eImplementing QC and QA measures is of utmost importance in analyzing MPs, as they play a critical role in ensuring the outcomes' dependability and precision. The QC/QA encompasses the implementation of standardized protocols, calibration of instruments, validation of sample handling, and verification of data. These measures serve to minimize variability and errors. Implementing appropriate QC/QA measures improves data integrity, comparability, and confidence, thereby facilitating rigorous evaluations and well-informed decision-making on MP pollution. The literature review analysis suggests that 17 articles incorporated blank samples in their research, while 8 articles did not include blank samples. Notably, most studies (23) did not integrate blank results within their actual samples. In the samples of 16 studies, no MP was identified (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). A total of 9 studies successfully detected MPs in their respective blank samples, while 6 studies incorporated the results from blank samples into their actual samples (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). The variations were seen in the presence of MPs in blank samples, Vianello et al. (\u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e) identified 7.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8 MPs per blank sample, 1\u0026ndash;5 fiber per liter (Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), \u0026le;\u0026thinsp;3.4 MP fibers or fragments per liter (Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), 323 fiber and 319 particles in three field blanks (Prata et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), 25 MPs ranging from 0\u0026ndash;1 per sample (Jenner et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e), 0\u0026ndash;3 fibers per filter (Soltani et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e), 7 fibers and 5 fragments m\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e (Torres-Agullo et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), 1.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.2 MPs dish\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e (Fang et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), 1\u0026ndash;5 MPs/g. Two studies have highlighted the type of MPs in their blank samples PES, PA, PS, PE, and PUR (Vianello et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e) and PUR, PP, PVC, PET, and PP (Jenner et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e)\u003c/p\u003e\n\u003cp\u003eThe entire sample treatment procedure involved the omission of digestion and flotation techniques to minimize the loss of particles or contamination by MPs throughout multiple stages (Soltani et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e; Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). Some studies may have neglected to take blank samples, or if they did take them, they might not have accounted for contamination when analyzing the samples. Furthermore, there may be instances where such information was not disclosed in the study's results. Pretreatment even can contaminate the actual sample. Prata et al. (\u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) found sample treatment solely introduced 27 fibers from contamination, and pre-sampling introduced a mean of 106 fibers, being the primary source of contamination for air samples. Torres-Agullo et al. (\u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) found fiber was the dominant type of MP in blanks with a concentration of 7 fibers/m\u003csup\u003e3\u003c/sup\u003e.\u003c/p\u003e\n\u003cdiv class=\"BlockQuote\"\u003e\n\u003cp\u003eAnalyses of MPs demonstrate that field studies are challenging because of the wide variety of samples and analytical methods available to detect and quantify MPs. The wide variety of sampling approaches makes it difficult to meet the need for additional, higher-quality data. Due to the lack of standardization of methodologies for monitoring MPs in airborne and interior settings, substantial difficulties in comparing results are caused (Enst, \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e). The approaches that are used can have a significant impact on the results that are obtained. MPs have been expressed using a wide range of different units, including particles per liter, spheres per liter, beads per liter, particles per square meter, particles per square meter per day, particles per liter, particles per kilogram, pieces per kilogram, items per kilogram, and kilograms per liter (liters can refer to water or sediment and kilogram can refer to dry or wet weight) (Bhat et al., 2023). Also, various publications alter and convert the units they use for various purposes, and it is not always obvious which options are used throughout these transformations. In addition, there are many ways to categorize MPs depending on their morphology (fragments, pellets, beads, lines, fibers, films, and foams) and the kind of polymer they are made of (PP, PE, PS, etc.). While the latter is frequently capable of accurate determination, the criteria for characterizing the form are not always readily apparent. As a result, the procedures for collecting, processing, and evaluating samples and data are not standardized. MPs can be classified in a broad range of ways, including by shape, polymer type, and/or composition. This makes it difficult to compare the results of different studies directly and possibly leads to uncertainty between the findings of different investigations. A clear understanding of the dynamics and implications of MPs is also hampered, and stakeholders are prevented from taking the appropriate steps to address and (if required) alleviate the problem. In designing and implementing processes for collecting, analyzing, and characterizing MPs per suitable QC and QA standards, much work remains to be done. This is because MPs are a broad category of pollutants that significantly differ from one another in terms of their morphology, chemical characteristics, texture, color, density, and size. Contamination control techniques, which are an integral part of QC/QA, are one of the characteristics that differ from one study to the other studies.\u003c/p\u003e\n\u003cp\u003eNotwithstanding the critical nature of the issue, the capacity of many research organizations and laboratories to achieve comprehensive consistency heavily depends on their success in acquiring funding and infrastructure. There is no single method that is suitable for every laboratory, and not every laboratory is equipped to perform high-level and expensive treatments. As the field of study expands, new and innovative methods emerge in the scientific literature. One example of this is the ability of researchers and equipment to identify ever-smaller particles (Hermsen et al., \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e). Since MPs are present everywhere, even indoor air (Abbasi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Amato-Louren\u0026ccedil;o et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Chen et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Choi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) and outdoor air (Abbasi et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Allen et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Amato-Louren\u0026ccedil;o et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Choi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). If adequate methods for controlling contamination are not followed, there is a risk that samples may be contaminated, which will lead to an inaccurate representation of the data. The presence of MPs in all matrices and environments, even under minor anthropogenic pressure (rural or virgin areas) (Allen et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Bergmann et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Ivar et al., \u003cspan class=\"CitationRef\"\u003e2013\u003c/span\u003e; Jiang et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Lusher et al., \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e; Xiong et al., \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e) demonstrates the need for stringent controls not often applied to the management of other environmental contaminants when the risk of sample cross-contamination is low.\u003c/p\u003e\n\u003cp\u003eYet, looking at quantitative contrasts of levels of MP contamination in the same or comparable species collected from diverse regions and of any trends over time remains very difficult. It is subject to considerable uncertainties because of procedural differences and problems in isolating, quantifying, and confirming the identity of MPs recovered from these sites. MP studies have shown that microfibers are prevalent in environmental samples. Fibers are the most often studied MP type in atmospheric deposition (Abbasi et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Allen et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Bergmann et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Dris et al., \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e) and indoor environments (Catarino et al., \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e; Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e; Soltani et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e). Later investigations have highlighted errors in analysis, such as improper spectroscopic measurements, which led to the incorrect identification of synthetic fibers as artificial or lignin fibers (Collard et al., \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e; Remy et al., \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e; Wesch et al., \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). After sampling, microfibers in ambient samples might easily be mistaken for contamination in the laboratory. Because of this, detecting microfibers in environmental samples is still highly questionable since it is difficult to eliminate the possibility of background contamination. Abrasions on synthetic garments, incorrect cleaning of laboratory equipment, plastic tools used in treatment, inappropriate specimen sealing, and ambient air are all potential sources of background contamination with microfibers.\u003c/p\u003e\n\u003cp\u003eThe correct QC/QA processes guarantee that the MP values reported on environmental samples are accurate and are not significantly impacted by the background laboratory contamination. Adding QC/QA measures also enable researchers to analyze differences in MP analysis, which enables them to decide whether the changes reported in the field are statistically significant or simply a reflection of variances in collecting and analyzing the data. It is necessary to collect QC/QA samples in the field and the laboratory to evaluate the procedure's effectiveness and ensure that MPs are quantified accurately. Assessments of QC/QA in the field and the laboratory include using field and laboratory blanks to measure procedural and background contamination during sampling and testing; field duplicates; standard practices for environmental chemical contaminant scanning; and variation measurements for sample collection and analysis. It is possible that increasing the number of replications at each location will result in more statistically accurate data, but it's essential to strike a balance when collecting replicates between time and resources. In the same manner that samples are collected and analyzed, fields, laboratory blanks, and duplicates should be gathered. Thus, designing and executing standard QC/QA processes will enable rigorous management activities to be reviewed to guarantee that they are appropriately implemented and in locations with the most impact.\u003c/p\u003e\n\u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\n\u003ch2\u003e3.4. Identification Methods\u003c/h2\u003e\n\u003cp\u003eIndoor MP studies have used different instruments to identify MPs for physical, chemical, and elemental characterization (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). Most of the indoor studies have used \u0026micro;-FTIR (19.23%), followed by Stereomicroscope (17.31%), fluorescent microscope (9.62%), FTIR (9.62%), \u0026micro;-Raman (7.69%) etc (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). Analyzing airborne and indoor MPs is challenging. While no standard approach for their identification has been developed, numerous analytical methods have been used based on their features. Physical and chemical property-based approaches are often used among the many analytical techniques for MP identification (Bhat et al., 2023; Rocha-santos \u0026amp; Duarte, \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e; Shim et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e). Physical characteristics are one of the most popular means of recognizing MPs. This often entails detecting MPs based on physical qualities such as elasticity, hardness, color, shininess, and structure, which are recognized using visual methods or by different microscopes like optical, binocular, stereo, and fluorescence (Abbasi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Aslam et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e; Hidalgo-ruz et al., \u003cspan class=\"CitationRef\"\u003e2012\u003c/span\u003e; Nematollahi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). However, using visual inspection methods has considerable limitations, such as the visual variations of experimentalists influencing identification findings and the inability to recognize many MPs visually. The visual examination approach is less successful in detecting minute MPs or when there is interference (Shim et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e). According to Dekiff et al. (\u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e), when the size of the MPs decreases, the inaccuracy of the visual examination technique rises. As a result, in the context of current MP detection, visual inspection is not advised as a stand-alone identification tool. The visual identification of MPs has significant shortcomings. Still, due to its low cost and ease of use, it is currently the most widely used method for MP analysis and identification.\u003c/p\u003e\n\u003cdiv class=\"BlockQuote\"\u003e\n\u003cp\u003eIdentifying the chemical composition of MPs is a crucial step in distinguishing plastic from other particle types. Different techniques have been used in indoor environments to characterize the MPs like Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) (Amato-Louren\u0026ccedil;o et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e; Prata et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), \u0026micro;-Raman (Abbasi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e; Kashfi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Uddin et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) and SEM-EDX (Abbasi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Kashfi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Nematollahi et al., 2021). FTIR and Raman spectroscopy are two complementary techniques often utilized to investigate the chemical composition of MPs. MPs are frequently identified using FTIR by ATR, transmission, and reflection. MPs with particle sizes greater than or equal to 300 \u0026micro;m are commonly found using ATR. The analysis is accurate and may be finished in one minute (Gong and Xie, \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). Each sample's FTIR spectroscopy can yield distinct spectra. Because various samples have different compositions, they produce varied spectral images. The kind of polymer forming the MPs may be readily recognized by comparing the spectrum of target particles to those of known materials in libraries. Besides FTIR, Raman spectroscopy only requires a minimal sample from various matrices and yields extremely trustworthy findings. MPs are subjected to Raman spectroscopy to get precise data on high molecular weight polymers, allowing further identification (Gong and Xie, \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). The \u0026micro;Raman (a combination of Raman spectrum imaging equipment and microscopy) can identify MPs as tiny as 1 \u0026micro;m, a spatial resolution that cannot be attained by any other technique (Lenz et al., \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e). Raman spectroscopy is also inappropriate for detecting fluorescent materials, and the MPs additives and pigments may make it challenging to identify the polymer. Additionally, a significant aspect that prevents the identification of the MPs is the fluorescence that some of the photosensitive components in the sample produced after being excited by the equipment (Song et al., \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e). Scanning electron microscope (SEM) is another tool frequently used to identify MPs. A powerful electron beam is produced and scans the sample's surface. The interaction of the electron beam with the material results in high-resolution photographs of the surface features (\u0026lt;\u0026thinsp;0.5 nm resolution) (Rocha-santos and Duarte, \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e). By contrasting their surface characteristics, MPs may be distinguished from sample particles. By utilizing SEM to analyze the surface texture of the MPs, such as grooves, pits, fractures, and flakes, it is possible to determine the mechanical degradation patterns of MPs. For example, pits and grooves on the surface of airborne MPs may be attributed to collision and friction induced by atmospheric dynamics, whereas fractures could be caused by wind action (Cai et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e). Furthermore, combining SEM with Energy Dispersive X-Ray Analysis (EDX) can offer information on particle elemental composition. Although SEM has been used effectively for MP detection, it is a time-consuming procedure in sample preparation and observation. As a result, SEM is ineffective for identifying a high number of MPs.\u003c/p\u003e\n\u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n\u003ch2\u003e3.5. Concentration and Morphological Features\u003c/h2\u003e\n\u003cp\u003eThe analysis of indoor MP has been conducted in various indoor environments (schools, apartments, offices, buses, houses, hotels, subway cars, operation theatres, anesthetic rooms, dormitories, corridors, nail salons, classrooms, universities, hospitals, mosques, kindergartens, etc) across multiple countries (Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e) France, (Vianello et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e) Denmark, (Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) China, (Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) California, (Joana C. Prata et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) Portugal, (Jenner et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e) the United Kingdom, (Soltani et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e) Australia, (Kashfi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) Iran, (Lim et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) Japan etc (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e) and have collected different types of samples (air, dust, and deposition). Indoor MP investigations have shown differences in sample sizes, counts, and blank sample numbers. Most of the studies did not report the number of blank samples in their studies. Four studies reported a blank count of 234 (Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), 114 (Jenner et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e), 4 (Torres-Agullo et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), and 30 (Field et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\n\u003cdiv id=\"Sec9\" class=\"Section3\"\u003e\n\u003ch2\u003e3.5.1. Concentration\u003c/h2\u003e\n\u003cp\u003eConcentrations of MPs in the indoor air varied from concentrations of 5 MP fibers/m\u003csup\u003e3\u003c/sup\u003e to mean concentrations of 9\u0026thinsp;\u0026plusmn;\u0026thinsp;6 MPs/m\u003csup\u003e3\u003c/sup\u003e (Vianello et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e), 10\u0026thinsp;\u0026plusmn;\u0026thinsp;6 MPs/m\u003csup\u003e3\u003c/sup\u003e (Uddin et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), 46\u0026thinsp;\u0026plusmn;\u0026thinsp;55 MPs/m\u003csup\u003e3\u003c/sup\u003e (Chen et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) and 48 MPs/m\u003csup\u003e3\u003c/sup\u003e (Xie et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) to 1,583\u0026thinsp;\u0026plusmn;\u0026thinsp;1,181 MPs/m\u003csup\u003e3\u003c/sup\u003e (Liao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e), primarily sampled from residential environments (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eWithin indoor environments, MP fibers in an indoor deposition have been reported with concentrations ranging between 475\u0026ndash;3,339 MP fibers/m\u003csup\u003e2\u003c/sup\u003e/day (Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e) and 22\u0026thinsp;\u0026minus;\u0026thinsp;6,169 MP fibers/m\u003csup\u003e2\u003c/sup\u003e/day (Soltani et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e), or the mean concentration of 19,600\u0026thinsp;\u0026plusmn;\u0026thinsp;900 MP fibers/m\u003csup\u003e2\u003c/sup\u003e/day (Yao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e) in residential locations (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Film-shaped plastics have also been reported in an indoor deposition at concentrations of 5,990\u0026thinsp;\u0026plusmn;\u0026thinsp;2,020 MP fibers/m\u003csup\u003e2\u003c/sup\u003e/day (Yao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e). Undifferentiated by shape, total concentrations of MPs in deposition within indoor residential environments have been reported as 940,000\u0026thinsp;\u0026plusmn;\u0026thinsp;500,000 MPs/m\u003csup\u003e2\u003c/sup\u003e/day (Fang et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). Within office environments, the concentration of MP fibers in a deposition has been reported to vary between 307\u0026thinsp;\u0026plusmn;\u0026thinsp;215 MP fibers/m\u003csup\u003e2\u003c/sup\u003e/day (Amato-Louren\u0026ccedil;o et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) and 6,430\u0026thinsp;\u0026plusmn;\u0026thinsp;2,540 MP fibers/m\u003csup\u003e2\u003c/sup\u003e/day (Yao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e). Fragment-shaped MPs in deposition have also been reported at concentrations of 2.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2 MPs/ m\u003csup\u003e2\u003c/sup\u003e/day (Amato-Louren\u0026ccedil;o et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) and 6340\u0026thinsp;\u0026plusmn;\u0026thinsp;2540 MPs/ m\u003csup\u003e2\u003c/sup\u003e/day (Yao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e; Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). Undifferentiated by shape, the concentration of MPs in deposition within office locations has been reported as 890,000\u0026thinsp;\u0026plusmn;\u0026thinsp;340,000 MPs/m\u003csup\u003e2\u003c/sup\u003e/day (Fang et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). Indoor deposition of MP fibers in school environments was 1,404\u0026ndash;5,844 MP fibers/m\u003csup\u003e2\u003c/sup\u003e/day (Ouyang et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e) and 6,200\u0026thinsp;\u0026plusmn;\u0026thinsp;570 MP fibers/m\u003csup\u003e2\u003c/sup\u003e/day (Yao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e). Film-shaped MPs have also been reported in schools at a concentration of 8,130\u0026thinsp;\u0026plusmn;\u0026thinsp;2,170 MPs/m\u003csup\u003e2\u003c/sup\u003e/day (Yao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e). Total MP concentrations within school-based deposition (irrespective of shape) have been reported to be 790,000\u0026thinsp;\u0026plusmn;\u0026thinsp;350,000 MPs/m\u003csup\u003e2\u003c/sup\u003e/day (Fang et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eBased on particle count, mean concentrations of MPs in indoor dust have been reported to be 195 MPs/g (range: 10\u0026ndash;635 MPs/g) (Nematollahi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), 3,771 MPs/g (range: 81\u0026thinsp;\u0026minus;\u0026thinsp;55,830 MPs/g) (Abbasi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) and 62\u0026thinsp;\u0026minus;\u0026thinsp;3,861 MPs/g (Zhu et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). MP fibers have been reported in concentrations varying from 19,000\u0026ndash;67,000 MP fibres/g (Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e). Mean concentrations of PET have been reported as 0.43 mg/g in one student dormitory (Wang et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e), 23 mg/g from 39 cities in China (Liu et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e) and 2 mg/g (India), 3.9 mg/g (Columbia), 4.4 mg/g (Pakistan), 9.2 mg/g (China), 10 mg/g (Kuwait), 11 mg/g (Vietnam), 14 mg/g (USA and Romania), 15 mg/g (Greece), 20 mg/g (Japan), 20 mg/g (Saudi Arabia) and 27 mg/g (South Korea) (Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). Mean concentrations of PC were lower, reported as 240 \u0026micro;g/g in the one student dormitory (Wang et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e), 1.8 \u0026micro;g/g (China) (Liu et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e), and 6 \u0026micro;g/g (Pakistan), 7 \u0026micro;g/g (Kuwait), 11 \u0026micro;g/ g (Columbia), 15 \u0026micro;g/g (Romania), 18 \u0026micro;g/g (China), 20 \u0026micro;g/g (India), 34 \u0026micro;g/g (Greece), 54 \u0026micro;g/g (South Korea), 58 \u0026micro;g/g (Saudi Arabia), 63 \u0026micro;g/g (Japan), 87 \u0026micro;g/g (USA), 120 \u0026micro;g/g (Vietnam) (Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). The mass concentration of other polymers in indoor dust has not been reported to date (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Differences have been seen in the concentrations of MPs found in indoor environments in dust, deposition, and ambient samples. The concentration of MPs indoors was higher than outdoors (Amato-Louren\u0026ccedil;o et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e; Yao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e), because of the many MP sources (such as synthetic textiles, clothes, and household items) and complex air dispersion processes (like ventilation rate, room partition, and weather conditions) (Bhat et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e)\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec10\" class=\"Section3\"\u003e\n\u003ch2\u003e3.5.2. Size\u003c/h2\u003e\n\u003cp\u003eThe maximum reported length of indoor fibrous MPs varied from 2,181 \u0026micro;m (Xie et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), 2,800 \u0026micro;m (Uddin et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), 3,250 \u0026micro;m (Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e), 3,669 \u0026micro;m (Prata et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), to \u0026gt;\u0026thinsp;5,000 \u0026micro;m (Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) in indoor air. The reported average length of indoor air MP fibers ranged between 177 and 237 \u0026micro;m, 250 \u0026micro;m (Prata et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), 330, 383, and 641\u0026thinsp;\u0026plusmn;\u0026thinsp;810 \u0026micro;m (Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). The mean diameter of MP fibers in indoor air has been reported to be 26\u0026ndash;30 \u0026micro;m wide (with variability attributed to automatically versus manually calculated measurements) (Vianello et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e). MP fragment sizes in indoor air were reported in two studies, being a mean of 68 \u0026micro;m in length and 37 \u0026micro;m in diameter (Vianello et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e) and 58\u0026thinsp;\u0026plusmn;\u0026thinsp;55 \u0026micro;m (predominantly 76\u0026ndash;100 \u0026micro;m) (Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eWithin dustfall, MP fibers have typically occurred in larger sizes\u0026thinsp;\u0026gt;\u0026thinsp;50 \u0026micro;m (Soltani et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e) ranging between 50 and 510 \u0026micro;m (Amato-Louren\u0026ccedil;o et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), 50\u0026thinsp;\u0026minus;\u0026thinsp;2,000 \u0026micro;m (Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) and 4,650\u0026ndash;4,850 \u0026micro;m (Mandin et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e). MP fiber diameters have been reported to be 11\u0026ndash;20 \u0026micro;m (63%) (Jenner et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e) and 19\u0026thinsp;\u0026plusmn;\u0026thinsp;6 \u0026micro;m, larger compared to their natural counterparts at 17\u0026thinsp;\u0026plusmn;\u0026thinsp;4 \u0026micro;m (Soltani et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e). Fragments of MP have been detected between 50\u0026ndash;200 \u0026micro;m (Soltani et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e), however, can range up to 50\u0026ndash;989 \u0026micro;m (Amato-Louren\u0026ccedil;o et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). Proportionally for each shape, the majority of plastics in the 5\u0026ndash;250 \u0026micro;m range were film (88%), fragment (99%), and sphere (98%) (Jenner et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eThe size range of MPs in indoor dust has been reported to be \u0026gt;\u0026thinsp;50\u0026ndash;2500 \u0026micro;m (Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e), with mode size ranges between 200 and 1,000 \u0026micro;m (45\u0026ndash;63%) (Zhu et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) and 500\u0026ndash;1,000 \u0026micro;m (32% (Nematollahi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), 25% (Abbasi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)).\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n\u003ctable id=\"Tab1\" border=\"1\"\u003e\u003ccaption\u003e\n\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n\u003cdiv class=\"CaptionContent\"\u003e\n\u003cp\u003eExamples of some published literature on the indoor microplastics\u003c/p\u003e\n\u003c/div\u003e\n\u003c/caption\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eCountry\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eSample Vol.\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eSample NO.\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eBlank NO.\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eConcentration\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eSize\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eColor\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003ePolymer Type\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eReference\u003c/p\u003e\n\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eFrance\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e2\u0026ndash;5 m\u003csup\u003e3\u003c/sup\u003e / 5.5 mg\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1586\u0026ndash;11,130 fibers/day/m\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e50\u0026ndash;4850 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePP, PA, and PE\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eDenmark\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e16.8 m\u003csup\u003e3\u003c/sup\u003e per sample\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1.7 and 16.2 particles m\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e37\u0026ndash;177 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePES, PE, PA, PP, PS, Acr, PUR, EPDM, PVAc, EVA, EP, PR, CA, CTA, PLA, and, PC\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Vianello et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eChina\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e10\u0026ndash;15 mg\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e39\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e4.6\u0026ndash;26,800 mg g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e50\u0026micro;m \u0026minus;\u0026thinsp;2mm\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePES, PUR, PA, PA, PP, PAN, Acr, PEI, and PEP\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Liu et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eIndonesia\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e95\u0026ndash;351 particles\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e3\u0026ndash;5 mm\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Bahrina et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eChina\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e234\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e234\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eDormitory (9.9 \u0026times; 10\u003csup\u003e3\u003c/sup\u003e MPs/m\u003csup\u003e2\u003c/sup\u003e/d), office (1.8 \u0026times; 10\u003csup\u003e3\u003c/sup\u003e MPs/m\u003csup\u003e2\u003c/sup\u003e/d) and corridor (1.5 \u0026times; 10\u003csup\u003e3\u003c/sup\u003e MPs/m\u003csup\u003e2\u003c/sup\u003e/d)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e50\u0026thinsp;\u0026minus;\u0026thinsp;2,000 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eTransparent, red, black, yellow, purple, and green\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePES, RAY, Acr, CE, PP, PS, and PA\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eCalifornia\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e11.7 L min\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e for 8 hours\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e21\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e3.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9 fibers m\u003csup\u003e\u0026ndash;3\u003c/sup\u003e and 12.6\u0026thinsp;\u0026plusmn;\u0026thinsp;8.0 fragments m\u003csup\u003e\u0026ndash;3\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e58.6\u0026thinsp;\u0026plusmn;\u0026thinsp;55 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eBlack, blue, red, and green\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePVC, PE, RC, Acr, PC, and PS\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e12 Countries\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e50 mg\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e286\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePET 38\u0026ndash;120,000 \u0026micro;g/g and PC \u0026lt;\u003c/p\u003e\n\u003cp\u003e0.11\u0026ndash;1700 \u0026micro;g/g\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePET and PC\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePortugal\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5 L m\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e 48 hours\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e0\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e6 fibers m\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e and 5 SMPs m\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e17\u0026thinsp;\u0026minus;\u0026thinsp;3,669 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Prata et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eChina\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1 m\u003csup\u003e3\u003c/sup\u003e per sample\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e39\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e0\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1,583\u0026thinsp;\u0026plusmn;\u0026thinsp;1,180 n/m\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5\u0026ndash;5,000 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePES, PA, and PP\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Liao et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnited Kingdom\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e118\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e114\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1,414 MP m\u003csup\u003e\u0026minus;\u0026thinsp;2\u003c/sup\u003e day\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e \u0026plusmn; 1,022\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5\u0026ndash;5,000 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePET, PA, and PP\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Jenner et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eAustralia\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e32\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e308\u0026thinsp;\u0026minus;\u0026thinsp;17,642 fibers/m\u003csup\u003e2\u003c/sup\u003e/day\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5\u0026ndash;5,000 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eBlack, green, blue, red, grey, brown, and transparent\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePE, PES, PET, and PA\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Soltani et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eKuwait\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e30 L min-1 for 360 mints\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e20\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e3.2\u0026ndash;27.1 particles m\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e0.45\u0026ndash;2,800 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eBlack, transparent, blue, red, grey\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePES and PA\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Uddin et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSpain\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e10 L/min 1.5\u0026ndash;3 hours\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e15\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e4\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e4.2\u0026ndash;17.3 MPs/m\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u0026lt;\u0026thinsp;5mm - \u0026gt; 5mm\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eBlack, colorless, brown, red, purple, blue, grey, yellow, orange, green, pink, golden, and silver\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePA, PES and PP\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Torres-Agullo et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eBrazil\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e14\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e309.40\u0026thinsp;\u0026plusmn;\u0026thinsp;214.71 MPs/m\u003csup\u003e2\u003c/sup\u003e/day\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e51\u0026ndash;511 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePE, PP, PET, and PVAc\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Amato-Louren\u0026ccedil;o et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eTaiwan\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5.43 m\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e19\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e46\u0026thinsp;\u0026plusmn;\u0026thinsp;55 MPs/m3.\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u0026lt;\u0026thinsp;50 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eAcr, RB, and PUR\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Chen et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePakistan\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e20\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eYellow, blue, green, red, white, purple, orange, transparent, and green\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePET, EPR, PE, and PUR\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Aslam et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSouth Korea\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e7 L min \u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e 48 hours\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e6 MPs m\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e20.1\u0026ndash;6,801.2 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePE, PP, PA, PES, Acr, and PS\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Choi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eChina\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e2.5 m\u003csup\u003e3\u003c/sup\u003e/h for 4 hours\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e8\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e15.56\u0026ndash;93.32 N/m\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e2.40\u0026ndash;2,181.48 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eBlack, blue, green, indigo, pink, purple, red, transparent, white, and yellow\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePE, PES, PF, PVC, CO, PP, PUR, and RB\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Xie et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eChina\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e21\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e105 items m\u003csup\u003e\u0026minus;\u0026thinsp;2\u003c/sup\u003e d\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e dining/drinking venues\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5.9\u0026ndash;5,000 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePET, PE, and PA\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Fang et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eIran\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e10 g\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e28\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e195 MPs\u0026middot;g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e50 - \u0026lt; 500 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePET, PP, PS, and PA\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Nematollahi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eChina\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e8 g\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e242\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1,174 MPs/g\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e50 - \u0026gt; 1,000 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eBlack, yellow, blue, transparent, red, white, and green\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePA, PS, PC, PES, PP, and PE\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Zhu et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eIran\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1 g\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e50\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e80\u0026thinsp;\u0026minus;\u0026thinsp;56,000 MP per g\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u0026le;\u0026thinsp;5,000 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eBlack-grey, yellow-orange, white-transparent, red-pink, and blue-green\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePET, PP, and PS\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Abbasi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnited Kingdom\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e18\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e30\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e13,048\u0026thinsp;\u0026plusmn;\u0026thinsp;14,283 particles m\u003csup\u003e\u0026minus;\u0026thinsp;2\u003c/sup\u003e day\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e10 - \u0026gt; 50\u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eClean, brown, black, white, and blue\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePET, PP, PE, and PTFE\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Field et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eJapan\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e10\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e45 - \u0026lt; 5,600 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePET, PE, PA, PVA, PSU, and CL\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Lim et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eIran\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1g\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e10\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUnreported\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e48.6\u0026ndash;139 items/mg\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u0026lt;\u0026thinsp;100 - \u0026gt; 1,000 \u0026micro;m\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eWhite, transparent, orange, red, black, green, and purple\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePE, PC, PP, PET, and PA\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e(Kashfi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eUnited Kingdom\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eUnreported\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003e20\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eUnreported\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003e93,772\u0026thinsp;\u0026minus;\u0026thinsp;311,040 particles/m\u003c/strong\u003e\u003csup\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003c/sup\u003e\u003cstrong\u003e/day\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003e20 - \u0026gt; 300 \u0026micro;m\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eUnreported\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003ePA, PUR, PE, and PET\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003e(\u003c/strong\u003eBoakes et al., \u003cspan class=\"CitationRef\"\u003e2023\u003c/span\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003ctfoot\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"9\"\u003e*Actual units were taken from each specific article\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tfoot\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec11\" class=\"Section3\"\u003e\n\u003ch2\u003e3.5.3. Color, Type, and Shape\u003c/h2\u003e\n\u003cp\u003eColor, type, and shape are essential in identifying MPs. The color provides insights into their composition and origin, helping to determine potential sources and pathways. Different plastic types have distinct characteristics, influencing their behavior and environmental risks, and understanding the plastic-type aids in targeted mitigation. Shape reveals information about the origin and potential impacts, such as fibers from textiles or fragments from more oversized items. It affects mobility, interactions with organisms, and harm caused. By analyzing these characteristics, researchers can develop effective strategies for managing MP pollution, preventing its spread, and minimizing environmental consequences. Most of the indoor studies did not report the color in their results. Few studies reported the color of MPs like transparent, red, black, yellow, purple, and green (Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), black, blue, red, and green (Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), black, transparent, blue, red, grey (Uddin et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), white, transparent, orange, red, black, green, and purple (Kashfi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) etc (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Transparent, red, black, green, blue, brown, orange, grey, and purple were the dominant type of MP colors. Various types of MPs have been identified through indoor studies like PP, PA, and PE (Dris et al., \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e), PVC, PE, RC, Acr, PC, and PS (Gaston et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e); PET, PA, and PP (Jenner et al., \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e), PA, PES and PP (Torres-Agullo et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), PET, PE, and PA (Fang et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), PET, PP, PS, and PA (Nematollahi et al., \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) and PA, PUR, PE, and PET (Boakes et al., \u003cspan class=\"CitationRef\"\u003e2023\u003c/span\u003e) etc. however Prata et al., (\u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) did not report the type of MP. The dominant MPs identified in indoor environments were PA, PP, PE, PS, PC, PUR, PET, PES, Acr, and PVC (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Indoor MPs have been classified into nine distinct shapes: fiber, fragments, granules, films, spheres, foams, beads, sheets, and pellets. Fiber has emerged as the predominant type of MP, accounting for 37.1% of the total, followed by fragments (29.03%), films (12.9%), and other categories (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e).\u003c/p\u003e\n\u003c/div\u003e\n\u003c/div\u003e"},{"header":"4. Bibliometric Analysis","content":"\u003cp\u003eThe utilization of bibliometric analysis is of utmost importance within the field of MP research, as it serves to delineate the research domain effectively, discern prevailing patterns, evaluate the influence of scholarly output, facilitate collaborative efforts, and bolster the foundation of decision-making processes grounded in empirical evidence. By examining scientific publications and relevant literature, a comprehensive assessment of research output is obtained, elucidating the countries, institutions, and authors exhibiting the highest productivity levels. This tool assists researchers in maintaining current knowledge regarding emerging trends and prominent subjects, thereby guiding their research endeavors and allocation of resources. The evaluation of research quality and the identification of influential researchers are facilitated by assessing impact and influence. Examining collaboration patterns facilitates the dissemination of knowledge and advancing interdisciplinary research. Bibliometric analysis is a valuable tool for policymakers, enabling them to make well-informed decisions in effectively addressing the issue of MPs. This is achieved through the implementation of regulations, policies, and interventions.\u003c/p\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n\u003ch2\u003e4.1. Research Outcome in Indoor Environments\u003c/h2\u003e\n\u003cp\u003eThe bibliometric analysis conducted on indoor MPs revealed that researchers in 2017 exhibited significant interest in the occurrence of MPs within indoor environments (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). Between 2017 and 2019, the annual publication count remained below 5 articles. However, starting in 2020, there has been a notable increase in articles published, with an annual growth rate exceeding 10. In 2018 only a single article was published, whereas in 2022, 34 articles were published. The bibliometric analysis revealed that 91 articles have been published on indoor MPs, explicitly focusing on discussions related to this subject matter. The frequency of citations has notably increased over the years, with the lowest count recorded in 2017 (9) and the highest count observed in 2022 (1,550). The indoor MP articles have 3,783 citations (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). Given the topic's inherent novelty and the necessity for a further comprehensive investigation, it is anticipated that the number of articles and citations will rise within this domain in the upcoming years.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\n\u003ch2\u003e4.2. Coauthorship of Authors\u003c/h2\u003e\n\u003cp\u003eThe inclusion of multiple authors in MP studies is of utmost importance due to its significant impact on collaborative expertise, the production of comprehensive research outcomes, the enhancement of credibility, the broader dissemination of findings, and the shared responsibility in addressing the complex problem of microplastic pollution. Bibliometric analysis of all literature in this review identified 35 authors who have published material relevant to indoor MPs, which were segregated by different clusters (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003e). The minimum number of documents published by each author was 2. Of the 35 authors, 33 (94%) had published 2\u0026ndash;3 articles; however, just two authors, \u0026ldquo;Sun, Hongwen\u0026rdquo; and \u0026ldquo;Wang, Lei\u0026rdquo; have published 5 and 6 articles, respectively. In coauthorship of authors, \"Liu, Chunguang\" had the highest number of citations (194). \"Shi, Yumeng\". 29 authors (82%) have a total link strength of \u0026le;\u0026thinsp;12, while 6 authors (17%) have a link strength of 14.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\n\u003ch2\u003e4.3. Cooccurrence of Keywords\u003c/h2\u003e\n\u003cp\u003eThe identification of research themes, trends, and relationships within a field can be facilitated through the analysis of keyword cooccurrence in bibliometric studies. This tool facilitates the identification of shared research domains, interdisciplinary linkages, and emerging subjects, thereby offering valuable perspectives for researchers, policymakers, and stakeholders in influencing research trajectories and fostering collaborative efforts. Seventy-seven keywords were identified across all articles, with an occurrence of 2 or more (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e8\u003c/span\u003e). The keyword \u0026ldquo;microplastics\u0026rdquo; frequency was the highest, appearing 29 times. It was followed by the keyword \u0026ldquo;fibers\u0026rdquo; which appeared 21 times, \u0026ldquo;deposition\u0026rdquo; with 18 occurrences, \u0026ldquo;atmospheric fallout\u0026rdquo; with 12 occurrences, \u0026ldquo;dust\u0026rdquo; with 11 occurrences, \u0026ldquo;pollution\u0026rdquo; with 10 occurrences, \u0026ldquo;Chin\u0026rdquo;\" and \u0026ldquo;exposure\u0026rdquo; with 9 occurrences each, \u0026ldquo;indoor\u0026rdquo; and \u0026ldquo;ingestion\u0026rdquo; with 8 occurrences each, \u0026ldquo;health\u0026rdquo; with 7 occurrences, \u0026ldquo;airborne microplastics\u0026rdquo; with 7 occurrences, and \u0026ldquo;indoor dust\u0026rdquo; with 6 occurrences, among others. The microplastics keyword demonstrated the highest aggregate link strength, reaching a value of 167, followed by fibers at 155, deposition at 133, dust at 96, atmospheric fallout at 89, pollution at 79, china at 78, and ingestion at 72.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\n\u003ch2\u003e4.4. Highest Cited Articles in Indoor Environments\u003c/h2\u003e\n\u003cp\u003eIn bibliometric analysis, the most frequently cited papers show the significance, influence, and effect of research in an area. They act as standards for assessing the importance of academic work, aiding scholars in locating groundbreaking research, and offering perceptions of the developments and patterns that create the knowledge landscape. A minimum of 10 documents were selected, each containing at least 10 citations. The top 10 research articles were chosen (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e9\u003c/span\u003e). Dris et al. (\u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e) received the highest number of citations, totaling 533. This study examines fibers' characteristics and behavior in indoor and outdoor settings. The study also examined the rate at which fibers are deposited indoors and their concentration in dust samples collected from vacuum cleaner bags. Vianello et al. (\u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e) authored the second highly cited article, which has garnered 221 citations. In their study, the authors investigate the extent to which humans are exposed to indoor airborne MPs by employing a Breathing Thermal Manikin, followed by (Liu et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e) 182 citations, (Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) 124 citations (Zhang et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) 101 citations, Meanwhile, the remaining five articles exhibited citation counts below 100.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e\n\u003ch2\u003e4.5. Top Affiliations, Authors, Countries, and Funding Agencies\u003c/h2\u003e\n\u003cp\u003eThe top affiliation, authors, countries, and funding agencies in bibliometric analysis are significant because they show how research output, partnership patterns, and financial support are spread out. They help find top universities, influential researchers, areas for research, and funding trends. This helps make decisions, allocate resources, and plan for the future in academics and research policy. A bibliometric analysis was conducted to examine the prominent affiliations, authors, countries, and funding agencies that make significant contributions to the field of indoor MPs. Among the top 10 affiliations, 40% (4 out of 10) were from China, while 30% (3 out of 10) were from Spain. Nankai University has published the highest number of articles, totaling nine. The authors Wang, Lan, and Sun, who emerged as the most prolific contributors in published articles, hailed from China. However, the remaining authors each published a maximum of three articles and hailed from various countries, including Korea, the United Kingdom, Portugal, Iran, and Brazil (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eChina emerged as the foremost contributor in published articles (34) in indoor MPs, with the United States and England following closely behind with 11 articles each. Conversely, other countries such as Germany, South Korea, Australia, Iran, Italy, Netherlands, and France published fewer than 10 articles in this domain. China appeared as the top country in terms of funding agencies, with a total of 32 published articles from 3 funding resources. In comparison, the United Kingdom secured the second position with 10 articles from three funding sources. The remaining funding agencies comprised entities from Portugal, the European Commission, and Australia (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). China was the leading country in terms of published articles. The reason can be that each China has a maximum of universities, authors, and funding agencies among the top ten leading published articles. In contrast, for the rest of the countries, their contribution from universities, authors, and funding agencies were less than China. The country's funding for scientific projects plays a vital role in the scientific world by increasing the university's scientific production by supporting scientific projects.\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n\u003ctable id=\"Tab2\" border=\"1\"\u003e\u003ccaption\u003e\n\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n\u003cdiv class=\"CaptionContent\"\u003e\n\u003cp\u003eTop affiliations, authors, countries, and funding agencies contributed to the field of indoor microplastics\u003c/p\u003e\n\u003c/div\u003e\n\u003c/caption\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eNO.\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eAffiliations\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003ePublished articles\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eAuthors\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003ePublished articles\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eCountries\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003ePublished articles\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eFunding Agencies\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003ePublished articles\u003c/p\u003e\n\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eNankai University (China)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e9\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eWang L (China)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e9\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003ePeoples of the Republic of China\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e34\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eNational Natural Science Foundation of China Nsfc (China)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e24\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eShiraz University (Iran)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e4\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSun H (China)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e7\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUSA\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e11\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUk research Innovation Ukri (United Kingdom)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e4\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eEast China Normal University (China)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e4\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eKim H (Republic of Korea)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eEngland\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e11\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eNational Key Research and Development Program of China (China)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e4\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eChinese academic of science (China)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eKelly FJ (United Kingdom)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGermany\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e7\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eNatural Environment Research Council Nerc (United Kingdom)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eUniversity of Aveiro (Portugal)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eJenner LC (United Kingdom)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSouth Korea\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e6\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eFundacao Para A Ciencia EA Tecnologia Fct (Portugal)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e6\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eMinistry of natural resources of the People\u0026rsquo;s Republic of China (China)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eDuarte AC (Portugal)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eAustralia\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e6\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eMedical Research Council Uk Mrc (United Kingdom)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e7\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eInstitute for Technological Research IPT (Brazil)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eDa Costa JP (Portugal)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eIran\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e111 Program Ministry of Education China (China)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e8\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSpanish National Research Council (Spain)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eAbbasi S (Iran)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eItaly\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eEuropean Commission\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e9\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eCentro de investigacon y Desarrollo pascual vila - CID CSIC (Spain)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eAmato-Lourenco LF (Brazil)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eNetherlands\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eEuropean Social Fund Esf\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003e10\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eInstituto de Diagn\u0026oacute;stico Ambiental y Estudios del Agua - CSIC (Spain\u003c/strong\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eCarvalho-Oliveira R (Brazil)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eFrance\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e\u003cstrong\u003e4\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003eAustralian Government (Australia)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\n\u003ch2\u003e4.6. Top Publishers and Journals\u003c/h2\u003e\n\u003cp\u003eThe significance of top publishers and journals in bibliometric analysis is their ability to indicate research quality, visibility, and impact. Benchmarks are utilized to evaluate research productivity, influence, and collaboration and hold significant importance in shaping academic reputation, career progression, and decisions regarding research funding. Journals are essential in showing the number of articles published and their total citations. Elsevier emerged as the predominant publisher with the most published articles, totaling 53. The remaining nine top publishers have published fewer than nine articles. Most researchers have chosen to publish their work in journals affiliated with Elsevier. The preeminent scholarly publication in this field was the Science of the Total Environment, consisting of nine published articles. In contrast, the number of published articles in the other journals was equal to or less than five. Most of the journals that featured articles on indoor MP were highly regarded, with a significant proportion falling within the top quartile (Q1) and possessing impact factors exceeding 5 (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n\u003ctable id=\"Tab3\" border=\"1\"\u003e\u003ccaption\u003e\n\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n\u003cdiv class=\"CaptionContent\"\u003e\n\u003cp\u003eTop publishers and Journals which published articles on indoor microplastics\u003c/p\u003e\n\u003c/div\u003e\n\u003c/caption\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eNO.\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003ePublishers\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003ePublished Articles\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eJournals (Quartiles-Impact factor/2022)\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003ePublished Articles\u003c/p\u003e\n\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eElsevier\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e53\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eScience of the Total Environment (Q1-9.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e9\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eAmer Chemical Soc\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e9\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eEnvironmental Pollution (Q1-8.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSpringer Nature\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e9\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eJournal of Hazardous Materials (Q1-13.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e4\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eMdpi\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e6\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eEnvironment International (Q1-11.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eRoyal Soc Chemistry\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eEnvironmental Science \u0026amp; Technology (Q1-8.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e6\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eScience Press\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eToxics (Q1/Q2-4.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e7\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eWiley\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eWater Air and Soil Pollution (Q2/Q3-2.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e2\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e8\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eBangladesh Botanical Soc\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eMarine Pollution Bulletin (Q1-5.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e2\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e9\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGeomate Int Soc\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003e10\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cstrong\u003ePolish Soc Ecological Engineering\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e\u003cstrong\u003e1\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\u003c/div\u003e"},{"header":"5. Conclusion and Recommendations","content":"\u003cp\u003eThis literature analysis highlights the critical aspects of indoor MP studies, including sampling methods, pretreatment procedures, QC measures, identification techniques, concentration characteristics, and bibliometric analysis of the published literature. It underscores the need for standardized protocols and comprehensive QC practices to ensure reliable and comparable study results. The presence of MPs in indoor environments is a concerning environmental issue, and further research is necessary to deepen our understanding of its implications and develop effective mitigation strategies. The analysis of the literature review on indoor articles revealed that approximately 45.24% of indoor articles had conducted pretreatment on their samples. The works comprising 16.67% of the total have not undergone any pretreatment. The experimental results indicate that a combination of density separation and acidic digestion was employed to treat the samples comprising 2.38% (NaCl\u0026thinsp;+\u0026thinsp;NaI), 9.52% (ZnCl\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;+\u0026thinsp;H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e), and 4.76% (NaI\u0026thinsp;+\u0026thinsp;H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e). Nile red has also been employed in studies to characterize MPs. Nine distinct types of filter membranes have been employed in indoor MP studies. Most studies have employed Whatman Glass microfiber filters (41.67%). Other frequently utilized filters include PTFE membranes (12.5%), Silver membranes (12.5%), Cellulose ester membranes (8.33%) etc. The literature review analysis suggests that 17 articles incorporated blank samples in their research, while 8 articles did not include blank samples. Notably, most studies (23) did not integrate blank results within their actual samples. In the samples of 16 studies, no MP was identified. A total of 9 studies successfully detected MPs in their respective blank samples, while 6 studies incorporated the results from blank samples into their actual samples. Indoor MP studies have used different instruments to identify MPs for physical, chemical, and elemental characterization. Most of the indoor studies have used \u0026micro;-FTIR (19.23%), followed by Stereomicroscope (17.31%), fluorescent microscope (9.62%), FTIR (9.62%), \u0026micro;-Raman (7.69%), etc. Most of the indoor studies did not report the color in their results. Transparent, red, black, green, blue, brown, orange, grey, and purple were the dominant type of MP colors. The dominant MPs identified in indoor environments were PA, PP, PE, PS, PC, PUR, PET, PES, Acr, and PVC. Indoor MPs have been classified into nine distinct shapes: fiber, fragments, granules, films, spheres, foams, beads, sheets, and pellets. Fiber has emerged as the predominant type of MP, accounting for 37.1% of the total, followed by fragments (29.03%), films (12.9%), and other categories.\u003c/p\u003e\n\u003cp\u003eThe bibliometric analysis conducted on indoor MPs provides valuable insights into this field's research landscape and trends. The analysis reveals a growing interest in indoor MPs, with a notable increase in publications since 2020. Researchers are actively exploring the occurrence of MPs in indoor environments and their impact. Collaboration among multiple authors is vital for comprehensive research outcomes and addressing the complex MP pollution issue. Coauthorship patterns highlight the importance of collaborative expertise in indoor MP research. It identifies key authors who have made significant contributions, with a few authors standing out for their high publication output. These findings emphasize the need for interdisciplinary collaboration and knowledge exchange among researchers in this field. The prevalence of keywords such as microplastics, fibers, deposition, and pollution underscores the focus on understanding indoor MPs' sources, behavior, and impacts. This analysis can guide researchers and policymakers in shaping research trajectories and fostering collaborative efforts. The identification of highly cited articles demonstrates the significance and influence of research in the field of indoor MPs. These articles are benchmarks for assessing research importance and can guide researchers in locating groundbreaking work. Researchers should focus on these highly cited articles and build upon their findings to advance knowledge in this field. The analysis of top affiliations, authors, countries, funding agencies, publishers, and journals provides insights into the key contributors to indoor MP research. China has emerged as a leading country regarding publications, affiliations, authors, and funding agencies. This suggests a strong emphasis on indoor MP research in China. Understanding the research output, partnership patterns, and financial support in this field can help with decision-making, resource allocation, and planning for future research and policy development.\u003c/p\u003e\n\u003cp\u003eBased on the findings presented in this review article, the following recommendations can be made:\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003eStandardization of Protocols: There is a need for standardized protocols for sampling, pretreatment, and identification of MPs in indoor environments. Consistency in methodologies will facilitate better comparison and interpretation of results, allowing for a more comprehensive understanding of indoor MP pollution.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eEnhanced Quality Control: Implementing rigorous QC measures, including blank samples, is crucial to identify and account for potential contamination. Researchers should incorporate blank samples to ensure accurate assessment and minimize false positives.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eComparative Studies: More comparative studies are required to investigate the variations in indoor MP concentrations across different environments and sample types. This will contribute to a broader understanding of the factors influencing MP presence indoors and guide targeted mitigation efforts.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eLong-Term Monitoring: Long-term monitoring programs should be established to assess temporal variations in indoor MP pollution. Such programs will provide valuable insights into seasonal and annual trends, helping identify potential sources and develop effective management strategies.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003ePublic Awareness and Education: Public awareness about indoor MP pollution is essential. Educating individuals about the sources, risks, and preventive measures associated with indoor MPs will promote responsible consumption, waste management, and behavior changes that can reduce MP contamination.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eBased on the findings of the bibliometric analysis on indoor MPs, the following recommendations are suggested:\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003eEncourage interdisciplinary collaboration: Given the complex nature of MP pollution, interdisciplinary collaboration should be fostered to leverage diverse expertise and address the multifaceted challenges associated with indoor MPs.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eFoster knowledge exchange: Researchers and policymakers should actively engage in knowledge exchange platforms, conferences, and workshops to share findings, insights, and best practices related to indoor MP research. This will promote collaboration and the dissemination of knowledge in the field.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eSupport emerging research areas: As the number of publications on indoor MPs is expected to increase in the coming years, it is essential to support emerging research areas within this field. Funding agencies should allocate resources to support studies investigating emerging trends, innovative methodologies, and understudied aspects of indoor MP pollution.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eStrengthen international collaborations: Given the global nature of MP pollution, international collaborations should be encouraged to facilitate data sharing, comparative studies, and harmonized approaches to addressing indoor MP pollution. This will contribute to a more comprehensive understanding of the issue and the development of effective mitigation strategies.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003ePromote open-access publishing: To ensure wider accessibility to research findings on indoor MPs, researchers, and publishers should consider open-access publishing options. This will facilitate knowledge dissemination and allow policymakers, stakeholders, and the public to access the latest research on indoor MP pollution.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eBy implementing these recommendations, researchers, policymakers, and stakeholders can further advance knowledge, address gaps, and develop evidence-based strategies to effectively tackle the issue of indoor MP pollution, leading to healthier indoor environments and a more sustainable future.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eAcrylic = Acr\u003c/p\u003e\n\u003cp\u003eAcrylonitrile Butadiene Styrene = ABS\u003c/p\u003e\n\u003cp\u003eAttenuated total reflectance Fourier transform infrared spectroscopy = ATR-FTIR\u003c/p\u003e\n\u003cp\u003eCelloluse = CL\u003c/p\u003e\n\u003cp\u003eCellophane = CE\u003c/p\u003e\n\u003cp\u003eCellulose acetate = CA\u003c/p\u003e\n\u003cp\u003eCellulose triacetate = CTA\u003c/p\u003e\n\u003cp\u003eCotton = CO\u003c/p\u003e\n\u003cp\u003eEnergy Dispersive X-Ray Analysis = EDX\u003c/p\u003e\n\u003cp\u003eEpoxy resin = EP\u003c/p\u003e\n\u003cp\u003eEthylene vinyl acetate = EVA\u003c/p\u003e\n\u003cp\u003eEthylene-polypropylene = EPR\u003c/p\u003e\n\u003cp\u003eEthylene-propylene-diene-monomer = EPDM\u003c/p\u003e\n\u003cp\u003eMicroplastics = MPs\u003c/p\u003e\n\u003cp\u003ePhenolic Resin = PF\u003c/p\u003e\n\u003cp\u003ePhenoxy resin = PR\u003c/p\u003e\n\u003cp\u003ePoly (ethylene:propylene) = PEP\u003c/p\u003e\n\u003cp\u003ePoly tetrafluoroethylene = PTFE\u003c/p\u003e\n\u003cp\u003ePolyacrylonitrile = PAN\u003c/p\u003e\n\u003cp\u003ePolyamide = PA\u003c/p\u003e\n\u003cp\u003ePolycarbonate = PC\u003c/p\u003e\n\u003cp\u003ePolyester = PES\u003c/p\u003e\n\u003cp\u003ePolyethylene = PE\u003c/p\u003e\n\u003cp\u003ePolyethylene terephthalate = PET\u003c/p\u003e\n\u003cp\u003ePolyethylenimine = PEI\u003c/p\u003e\n\u003cp\u003ePolylactic acid = PLA\u003c/p\u003e\n\u003cp\u003ePolypropylene = PP\u003c/p\u003e\n\u003cp\u003ePolystyrene = PS\u003c/p\u003e\n\u003cp\u003ePolysulfone = PSU\u003c/p\u003e\n\u003cp\u003ePolyurethane = PUR\u003c/p\u003e\n\u003cp\u003ePolyvinyl acetate = PVAc\u003c/p\u003e\n\u003cp\u003ePolyvinyl alcohol = PVA\u003c/p\u003e\n\u003cp\u003ePolyvinyl chloride = PVC\u003c/p\u003e\n\u003cp\u003eQuality assurance = QA\u003c/p\u003e\n\u003cp\u003eQuality control = QC\u003c/p\u003e\n\u003cp\u003eRayon = RAY\u003c/p\u003e\n\u003cp\u003eResin = RC\u003c/p\u003e\n\u003cp\u003eRubber = RB\u003c/p\u003e\n\u003cp\u003eScanning electron microscope = SEM\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of competing interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author declares that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eContribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMansoor Ahmad Bhat: Conceptualization, Methodology, Software, Data curation, Formal analysis, Validation, Visualization, Writing-original draft, Writing-review \u0026amp; editing.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAbbasi, S., Keshavarzi, B., Moore, F., Turner, A., Kelly, F.J., Dominguez, A.O., Jaafarzadeh, N., 2019. 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Total Environ. 833, 155256. https://doi.org/10.1016/j.scitotenv.2022.155256\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Eskisehir Technical University","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Pretreatment, Indoor Environments, Fibers, Human Health, Dust, Air","lastPublishedDoi":"10.21203/rs.3.rs-3376389/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3376389/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe global scale of concern regarding indoor microplastic (MP) pollution is increasing and considering the amount of time people spend indoors. Indoor MP contamination can directly affect the human population through indoor dust and air exposure. This review summarized recent research progress on pretreatments, quality control, filter membranes, identification, keywords used, publication record, and authors' contribution. Comparatively, dust and deposition samples exhibit higher MPs concentrations than indoor air samples. Fiber-shaped MPs are commonly detected indoors, although fragments and films are also present. The color and types of MPs display variability, with polypropylene, polyethylene, polyethylene terephthalate, and polystyrene identified as the dominant MPs. Indoor environments generally demonstrate higher concentrations of MPs than outdoor environments, and MPs in the lower size range (1\u0026ndash;100 \u0026micro;m) are typically more abundant. Among the reviewed articles, 45.24% conducted pretreatment on their samples, while 16.67% did not undergo any pretreatment. The predominant filter utilized in most studies was the Whatman Glass microfiber filter (41.67%), and MPs were predominantly characterized using \u0026micro;-FTIR (19.23%). Within the examined literature, 17 articles incorporated blank samples into their research, while 8 articles did not include blank samples. Notably, most studies (23) did not integrate blank results into their samples. A significant increase in published articles has been observed since 2020, with an annual growth rate exceeding 10%. Bibliometric analysis of the literature review identified 35 authors who have contributed relevant material on indoor MPs. The keyword microplastics had the highest frequency, followed by fibers.\u003c/p\u003e","manuscriptTitle":"Indoor Microplastics: A Comprehensive Review and Bibliometric Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-09-22 19:25:52","doi":"10.21203/rs.3.rs-3376389/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"524e13c9-41ab-49bb-94a6-5e839233a68e","owner":[],"postedDate":"September 22nd, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":24931651,"name":"Environmental Engineering"}],"tags":[],"updatedAt":"2023-09-22T19:25:52+00:00","versionOfRecord":[],"versionCreatedAt":"2023-09-22 19:25:52","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3376389","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3376389","identity":"rs-3376389","version":["v1"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}