Eco-Friendly Synthesis of Mesoporous Silica Nanoparticles from Banana Peel Waste: A Comprehensive Study on Sustainable Waste Utilization and Advanced Material Development

Eco-Friendly Synthesis of Mesoporous Silica Nanoparticles from Banana Peel Waste: A Comprehensive Study on Sustainable Waste Utilization and Advanced Material Development | 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 Eco-Friendly Synthesis of Mesoporous Silica Nanoparticles from Banana Peel Waste: A Comprehensive Study on Sustainable Waste Utilization and Advanced Material Development MONICA M, Irine J, Jayasree R This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4015345/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 growing challenge of solid waste in various industries underscores the need for sustainable environmental solutions. This study focused on converting banana peel waste, a byproduct from the global banana industry, into valuable mesoporous silica nanoparticles (MSNs) through an eco-friendly approach. Musaceae peels, which are rich in nutrients and are abundant in Tamil Nadu, India, are often overlooked. In response to the demand for sustainable waste management, this study explored the transformation of Musaceae peel ash into silica using the sol-gel method. The synthesis process involves preparing Musaceae peel ash, extracting silica with a sodium silicate solution, and subsequent gelation, drying, and purification steps to obtain amorphous silica powder. Characterization analyses, including scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy and energy dispersive X-ray (EDX) spectroscopy, confirmed the successful synthesis of the mesoporous silica nanoparticles. EDX confirmed the elemental composition, FTIR revealed chemical groups on the nanoparticle surface, and SEM images showed a uniform particle morphology, indicating a well-crystallized nature and optimized adsorption capabilities. This eco-friendly approach not only addresses environmental challenges in waste disposal but also contributes to developing mesoporous silica nanoparticles from a biosource, with potential applications in various advanced fields. This study aimed to promote sustainable waste utilization and explore eco-conscious materials for diverse applications. Banana peel waste Mesoporous silica nanoparticles Sustainable waste utilization Eco-friendly Waste management Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Introduction The increasing challenge of solid waste across diverse industries, including agriculture, manufacturing, and consumer sectors, poses a significant environmental threat (Sapawe et al. 2018). Extensive research has been dedicated to converting such waste into valuable products, with a notable focus on transforming it into silica, a versatile inorganic compound found naturally in sand, quartz, or flint. Banana (Musa spp.) ranks second in worldwide fruit production, following citrus, and accounts for 16% of the total output. With a notable 27% share of global banana production, India plays a substantial role in maintaining this prominent ranking. Musaceae , which belong to the Musaceae botanical family, are grown in more than 130 nations, primarily in tropical and subtropical regions, and their roots originate from Southeast Asia. While widely enjoyed as a fruit, Musaceae peels, a byproduct of consumption, are often overlooked. Earlier research emphasized the nutritional abundance found in banana peels, which included starch (3%), crude protein (6–9%), crude fat (3.8–11%), total dietary fiber (43.2–49.7%), saturated and polyunsaturated fatty acids, lignin (6–12%), pectin (10–21%), cellulose (7.6–9.6%), hemicelluloses (6.4–9.4%), and galacturonic acid (Anhwange et al. 2009 ) & (Romelle et al. 2015). Investigating its potential as a silica precursor, Sapawe et al . (2018) reported that banana peel comprises approximately 13.38% ash, with subsequent synthesis successfully yielding 0.35% silica. Silica, also known as silicon dioxide (SiO2), displays different configurations, including crystallization, gel formation and granular structures. In contrast to conventional methods, this study explored an innovative approach utilizing waste materials such as Musaceae peels, which are abundant in Tamil Nadu due to their significant banana production. Tamil Nadu, a leading banana producer in India, generates substantial waste, especially from smaller banana varieties, contributing approximately 50 kg of waste per ton produced. Recognizing the need for sustainable solutions, this study focused on converting Musaceae peel waste into silica using the sol-gel method. The utilization of Musaceae waste for removing toxic metal ions from industrial wastewater has been explored in previous research. Silica, a pivotal component in the glass industry, has undergone a transformation into mesoporous silica, with applications in diverse fields such as medication delivery, biosensors, and other fields that demand elevated porosity and surface coverage. This study proposes a straightforward process for synthesizing mesoporous silica nanoparticles from banana peel ash using the surfactant cetyl trimethyl ammonium bromide (CTAB) as a model. The changeable parameters investigated were the CTAB concentration, which is crucial for obtaining mesoporous silica (Cai et al. 1999 ). This study addresses both the environmental issue of waste management and aids in the advancement of mesoporous silica derived from natural sources, opening up possibilities for its utilization in diverse advanced fields. The process of turning ash into silica gel, known as sol-gel synthesis, is now widely used. Using this technique, a sol gel containing silicon alkoxide, sodium silicate, or halide changes into a polymerized gel structure through sequential degradation and condensation processes (Bergna et al. 2006). This method of silica synthesis involves controlled gel development, coagulation, and a precipitation step during preparation, all of which are carried out under particular precipitation circumstances (Jal et al. 2004 ). Xerogel is the conventional term for silica gel made by this process. Ash and caustic lye combine to form sodium silicate as the first step in the process of turning ash into silica gel, and this process progresses accordingly: The next step in the procedure involves the dispersion of silicon dioxide gel as a result of the reaction between sulfuric acid and the silicate of sodium. The purification and drying processes result in the production of a powdered amorphous form of silica, eliminating impurities and organic substances commonly present in waste materials (Mittal et al . 1997). Methodology Materials : Musaceae peels were processed from a local market in Tamil Nadu, India. The reagents utilized in the experiment, namely, NaOH (sodium hydroxide), hydrochloric acid, and sulfuric acid, were obtained from Sigma Aldrich. Preparation of ash from raw material : Musaceae peels underwent meticulous cleaning with distilled water to eliminate impurities, followed by a 6-hour drying period in an oven. Subsequently, the cleansed peels were finely cut for combustion in a furnace, with the smaller segments carefully placed in a crucible. The furnace, which was maintained at a temperature of 400°C, was operated for three hours to facilitate the process of combustion. Next, the furnace was examined to confirm the complete conversion of Musaceae peel into ash. Subsequently, the resulting sample was allowed to air dry naturally at ambient temperature while undergoing precise weight measurements utilizing an analytical balance (Diyana et al. 2019). Preparation of silica : In the silica preparation process, 30 g of ash was boiled in 1 L of 1 M NaOH for an hour with continuous stirring until complete dissolution, resulting in a sodium silicate solution. Following filtration, the residue was washed with distilled water. The filtrate was then cooled and adjusted to pH 7 using 1 M H2SO4 and 1 M HCl through titration. Gelation was initiated, and an 18-hour aging period was allowed. The formed gel was gently disrupted and centrifuged at 2500 rpm for 10 minutes, after which the supernatant was discarded. The resulting gel underwent an 11-hour drying process at 80°C, resulting in the formation of a xerogel. Subsequently, the xerogel was washed with deionized water to remove minerals and impurities (Norzahir et al. 2018 ). Synthesis of mesoporous silica nanoparticles : Silica powder (6 g) was treated with 100 ml of 1 N NaOH, yielding a sodium silicate solution with purified silica particles following a filtration step. The resulting sodium silicate solution undergoes dropwise addition of a 2% CTAB solution, resulting in an alkaline solution with a pH between 10–11. pH neutralization is accomplished by adding 5 M CH3COOH (5 M CH3COOH in 95 ml of distilled water), maintaining a pH of 7–8 /formation of a white precipitate containing mesoporous silica nanoparticles (MSNs). Mesoporous silica nanoparticles are created by grinding this precipitate in a mortar after it has been roasted at 60°C in a hot-air furnace (Purwaningsih et al. 2019 ). Characterization analysis of mesoporous silica nanoparticles: Energy dispersive X-ray analysis : Energy dispersive X-ray analysis (EDX) is an elemental analysis technique linked with electron microscopy that provides insights through characteristic X-rays, revealing the presence of elements in a sample. The peak position and energy in the spectrum precisely determine each element, with the peak area reflecting the quantity of atoms in the irradiated area. Typically, qualitative analysis involves employing the manufacturer's software for identifying elements in the spectrum. The analysis was applied to a prepared sample of powdered mesoporous silica nanoparticles, facilitating comprehensive examination of its elemental composition (Dang Thi Thuy Nhung et al . 2017). Fourier transform infrared spectroscopy : Fourier transform infrared (FT-IR) spectroscopy was performed to obtain molecular information for the material under study. FTIR analysis can be used for quantitative analysis, which reveals relevant standards, as well as for the qualitative analysis of materials. The samples were mixed with KBr and analyzed with a JASCO FTIR-4700 instrument (Japan). FT-IR spectra of the samples were recorded from 4000 to 400 cm − 1 . It can analyze samples up to ~ 11 mm in diameter and measure them in the bulk or top layer (Diyana et al . 2019). Scanning electron microscopy : Scanning electron microscopy (SEM) was used to investigate the structure and morphology of the nanoparticles at enhanced magnification and resolution. SEM images of the silica samples were captured via Phenom Pro. SEM analysis was conducted with a Hitachi S4500 scanning electron microscope at a specific magnification. To prepare a thin sample film on a carbon-coated copper grid, an ample amount of the sample was dropped onto the grid, and excess material was removed with paper. The SEM grid with the sample film was then left to dry under a mercury lamp for 5 minutes, ensuring optimal imaging conditions (Vladar et al . 2020). Zeta potential : The synthesized mesoporous silica nanoparticles were mixed with ethanol and then sonicated for 5 minutes. Subsequently, the sonicated sample was injected into a zeta potential analyzer. The zeta potential analysis served two purposes: first, to evaluate the charge stability of the dispersed system and, second, to measure the magnitude of the electrical charge. This involved distributing an electrical current throughout the sample using a folded capillary flow cell. Results And Discussion Silica Synthesis : Each agricultural residue possesses a unique silica content. This study focused on the use of Musaceae peel ash (BPA) as a starting point for silica synthesis from peels. Table 1 outlines the silica yield from approximately 50 grams of Musaceae peel, generating approximately 4.2 grams of Musaceae peel ash. This synthesis process produces approximately 1.9 weight % of silica and 22.5 weight % of oxygen, accounting for a high percentage of the total Musaceae peel ash weight, which is consistent with the findings of Mohamad et al. ( 2019 ). The silica content from Musaceae peel ash synthesis is approximately 1.9 grams, which contributes to the formation of mesoporous silica nanoparticles (MSNs) (Fig. 1 ) at a rate of 4.8 weight % of silica and 40.1 weight % of oxygen (Table 2 ). Table 1 Musaceae peel ash and silica content Musaceae peel (grams) Musaceae peel ash (grams) Silica weight % Oxygen weight % 50 4.2 1.9 22.5 Table 2 Mesoporous silica content of Musaceae peels Crude silica (weight %) Mesoporous silica nanoparticles (weight %) Silica (Si) Oxygen (O) S1.9 4.8 40.1 EDAX Analysis of Silica Coated Mesoporous Silica Nanoparticles : The elemental composition of ferrous magnetic nanoparticles coated with silica, as illustrated in Fig. 2 , was examined by energy dispersive X-ray spectroscopy (EDX). The EDX results confirmed the presence of silica-coated ferrous magnetic nanoparticles, as evidenced by the peaks corresponding to silica, oxide, and ferrous elements. Specifically, the analysis revealed a silica content of 4.8% and an oxide content of 40.1%. These values collectively account for 100% of the total elemental composition, indicating a high level of purity in the sample without any discernible elemental impurities, as reported by Ranjbakhsh et al. ( 2012 ). FTIR characterization : The analysis of silica nanoparticles synthesized from banana peel ash (BPA) aimed to characterize the surface chemistry and identify functional groups of organic materials affixed to the surface of the nanoparticles. The findings, illustrated in Fig. 3 , delineate the predominant chemical groups found in the produced mesoporous silica nanoparticles (MSNs) through Fourier transform infrared (FTIR) analysis. In the spectral range from 650 cm⁻¹ to 1300 cm⁻¹, corresponding to the SiO₂ film, a broad peak representing Si-O-C bonds was identified, extending from 950 cm⁻¹ to 1250 cm⁻¹ (Meera et al. 2006 and Oh et al. 2005). Within the range of 700 ∼ 950 cm⁻¹, the peak is attributed to Si-C, CO, and Si-O bonds, collectively forming the broad Si-O-C band. The Si-O-C bond, which spans from 950 to 1150 cm⁻¹, includes both C-O and Si-O bonds. Below 950 cm⁻¹, the peak observed between 660 ∼ 950 cm⁻¹ due to the Si-O-C bond appears broader than that within the range of 700 ∼ 950 cm⁻¹ for the SiOC (Teresa et al. 2010). Scanning electron microscopy (SEM) : To carry out a comprehensive analysis of the particles synthesized through this method, we employed scanning electron microscopy (SEM), and the resulting images are presented in Fig. 5 . The micrographs vividly depict a discernible pattern showcasing a remarkably uniform morphology of particles, characterized by structural homogeneity. These particles exhibit diameters predominantly ranging from 60 to 100 nm, with a prevalent size of approximately 80 nm. Particularly noteworthy is the consistent and smooth surface observed in the images, indicating the well-crystallized nature of the particles. Meticulous examination of the silica magnetite surface morphology was performed using scanning electron microscopy (SEM), as illustrated in Fig. 5 . This imagery reveals sizable particles with a rugged surface, manifesting commendable homogeneity in both size and shape distribution. These substantial particles play a pivotal role in enhancing the mass transfer rate, facilitating the adsorption of metal ions onto the surface of synthesized silica magnetite composite nanoparticles (SCMNPs). This characteristic contributes significantly to an augmented adsorption capacity. Notably, the SEM images distinctly reveal an island growth pattern within the densely packed spherical arrangement, underscoring the intricacies of the surface morphology and emphasizing its relevance in optimizing adsorption capabilities (Wenguang et al. 2006). Zeta potential : The evaluation of the zeta potential assumes a pivotal role in appraising the stability of nanoparticles by scrutinizing the rapid oscillations in scattered light within a solution or suspended medium. Within the study's framework, magnetic nanoparticles coated with silica sourced from rice husk ash, were characterized through zeta potential analysis, as illustrated in Fig. 6 . The resultant zeta potential value, approximately − 9.00 mV, and zeta deviation value, approximately 10.2 Mv, suggest a moderate level of stability for the nanoparticles. This finding confirms the efficacy of the selected synthesis method for producing silica-coated magnetic nanoparticles, as elucidated in the research by Fathy et al. ( 2019 ). Conclusion This study pioneers an innovative and environmentally conscious approach to repurposing banana peel waste, a byproduct of substantial banana production by Tamil Nadu, using the sol-gel technique to create mesoporous silica nanoparticles (MSNs). By addressing the environmental challenge posed by solid waste, especially from smaller banana varieties, this research significantly contributes to sustainable waste management solutions. The synthesis process involves the meticulous preparation of banana peel ash, followed by silica synthesis via the sol-gel method, leading to the development of amorphous silica, referred to as xerogel. The subsequent conversion into mesoporous silica nanoparticles, facilitated by cetyl trimethyl ammonium bromide (CTAB) as a template, enhances the innovation of this study. Thorough characterization analyses, including scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and energy dispersive X-ray analysis (EDX), unequivocally confirmed the successful synthesis and high purity of the mesoporous silica nanoparticles. EDX analysis confirmed the elemental composition, confirming the presence of silica-coated ferrous magnetic nanoparticles with exceptional purity. FTIR characterization offers valuable insights into surface chemistry, emphasizing the significance of Si-O-C bonds pivotal for the structure of mesoporous silica. SEM images vividly portray the consistent morphology of the synthesized particles, displaying diameters within the range of 60 to 100 nm and a surface that is both smooth and well-crystallized. The discernible island growth pattern observed in the densely packed spherical arrangement underscores the intricacies of the surface morphology, which plays a critical role in optimizing the adsorption capabilities. In essence, this study not only repurposes banana peel waste as a valuable material but also paves the way for the application of mesoporous silica nanoparticles in advanced fields such as biosensors and drug delivery. The zeta potential analysis of the silica-coated magnetic nanoparticles derived from rice husk ash indicated a moderate level of stability, with a resultant value of approximately − 9.00 mV and a zeta deviation of approximately 10.2 mV. This research underscores the potential of harnessing agricultural by-products for sustainable material synthesis, aligning seamlessly with the global imperative for eco-friendly practices and effective waste management. Declarations Funding: No funding was received for this manuscript. Author contribution: Monica. M: Conceptualization, Data Curation, Methodology, Writing- Original draft, Visualization. Jayasree. R: Supervision, Visualization and Editing. Irine Briny Hepzibha. J: Data curation and formatting. Data availability: The data are available upon request References Mohamad DF, Osman NS, Nazri Mohd KHM, Mazlan AA, Hanafi MF, Esa YA, Rafi MIIM, Zailani MN, Rahman NN, Rahman AHA, Sapawe N (2019) Synthesis of Mesoporous Silica Nanoparticle from Banana Peel Ash for Removal of Phenol and Methyl Orange in Aqueous Solution. 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Jpn J Appl Phys 44:4103. https://doi.org/10.1143/JJAP.44.5923 Ranjbakhsh E, Bordbar AK, Abbasi M, Khosropour AR, Shams E (2012) Enhancement of stability and catalytic activity of immobilized lipase on silica-coated modified magnetite nanoparticles. Chem Eng J 179:272–276. https://doi.org/10.1155/2014/705068 Wenguang Yu, Tonglai Z, Jianguo Z, Xiaojing Q, Li Y, Yanhong L (2006) The synthesis of octahedral nanoparticles of magnetite. Mater Lett 60(24):2998–3001. https://doi.org/10.1016/j.matlet.2006.02.032 Fathy MM, Fahmy HM, Saad OA, Elshemey WM (2019) Silica-coated iron oxide nanoparticles as a novel nanoradiosensitizer for electron therapy. Life Sci 222:94–102. https://doi.org/10.1016/j.lfs.2019.02.058 Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Development","fulltext":[{"header":"Introduction","content":"\u003cp\u003eThe increasing challenge of solid waste across diverse industries, including agriculture, manufacturing, and consumer sectors, poses a significant environmental threat (Sapawe \u003cem\u003eet al.\u003c/em\u003e 2018). Extensive research has been dedicated to converting such waste into valuable products, with a notable focus on transforming it into silica, a versatile inorganic compound found naturally in sand, quartz, or flint. Banana (Musa spp.) ranks second in worldwide fruit production, following citrus, and accounts for 16% of the total output. With a notable 27% share of global banana production, India plays a substantial role in maintaining this prominent ranking. \u003cem\u003eMusaceae\u003c/em\u003e, which belong to the Musaceae botanical family, are grown in more than 130 nations, primarily in tropical and subtropical regions, and their roots originate from Southeast Asia. While widely enjoyed as a fruit, \u003cem\u003eMusaceae\u003c/em\u003e peels, a byproduct of consumption, are often overlooked. Earlier research emphasized the nutritional abundance found in banana peels, which included starch (3%), crude protein (6\u0026ndash;9%), crude fat (3.8\u0026ndash;11%), total dietary fiber (43.2\u0026ndash;49.7%), saturated and polyunsaturated fatty acids, lignin (6\u0026ndash;12%), pectin (10\u0026ndash;21%), cellulose (7.6\u0026ndash;9.6%), hemicelluloses (6.4\u0026ndash;9.4%), and galacturonic acid (Anhwange et al. \u003cspan class=\"CitationRef\"\u003e2009\u003c/span\u003e) \u0026amp; (Romelle \u003cem\u003eet al.\u003c/em\u003e 2015). Investigating its potential as a silica precursor, Sapawe \u003cem\u003eet al\u003c/em\u003e. (2018) reported that banana peel comprises approximately 13.38% ash, with subsequent synthesis successfully yielding 0.35% silica. Silica, also known as silicon dioxide (SiO2), displays different configurations, including crystallization, gel formation and granular structures.\u003c/p\u003e\n\u003cp\u003eIn contrast to conventional methods, this study explored an innovative approach utilizing waste materials such as \u003cem\u003eMusaceae\u003c/em\u003e peels, which are abundant in Tamil Nadu due to their significant banana production. Tamil Nadu, a leading banana producer in India, generates substantial waste, especially from smaller banana varieties, contributing approximately 50 kg of waste per ton produced. Recognizing the need for sustainable solutions, this study focused on converting \u003cem\u003eMusaceae\u003c/em\u003e peel waste into silica using the sol-gel method. The utilization of Musaceae waste for removing toxic metal ions from industrial wastewater has been explored in previous research. Silica, a pivotal component in the glass industry, has undergone a transformation into mesoporous silica, with applications in diverse fields such as medication delivery, biosensors, and other fields that demand elevated porosity and surface coverage. This study proposes a straightforward process for synthesizing mesoporous silica nanoparticles from banana peel ash using the surfactant cetyl trimethyl ammonium bromide (CTAB) as a model. The changeable parameters investigated were the CTAB concentration, which is crucial for obtaining mesoporous silica (Cai et al. \u003cspan class=\"CitationRef\"\u003e1999\u003c/span\u003e). This study addresses both the environmental issue of waste management and aids in the advancement of mesoporous silica derived from natural sources, opening up possibilities for its utilization in diverse advanced fields.\u003c/p\u003e\n\u003cp\u003eThe process of turning ash into silica gel, known as sol-gel synthesis, is now widely used. Using this technique, a sol gel containing silicon alkoxide, sodium silicate, or halide changes into a polymerized gel structure through sequential degradation and condensation processes (Bergna \u003cem\u003eet al.\u003c/em\u003e 2006). This method of silica synthesis involves controlled gel development, coagulation, and a precipitation step during preparation, all of which are carried out under particular precipitation circumstances (Jal et al. \u003cspan class=\"CitationRef\"\u003e2004\u003c/span\u003e). Xerogel is the conventional term for silica gel made by this process. Ash and caustic lye combine to form sodium silicate as the first step in the process of turning ash into silica gel, and this process progresses accordingly:\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eThe next step in the procedure involves the dispersion of silicon dioxide gel as a result of the reaction between sulfuric acid and the silicate of sodium.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eThe purification and drying processes result in the production of a powdered amorphous form of silica, eliminating impurities and organic substances commonly present in waste materials (Mittal \u003cem\u003eet al\u003c/em\u003e. 1997).\u003c/p\u003e"},{"header":"Methodology","content":"\u003cp\u003e \u003cb\u003eMaterials\u003c/b\u003e:\u003c/p\u003e \u003cp\u003e \u003cem\u003eMusaceae\u003c/em\u003e peels were processed from a local market in Tamil Nadu, India. The reagents utilized in the experiment, namely, NaOH (sodium hydroxide), hydrochloric acid, and sulfuric acid, were obtained from Sigma Aldrich.\u003c/p\u003e \u003cp\u003e \u003cb\u003ePreparation of ash from raw material\u003c/b\u003e:\u003c/p\u003e \u003cp\u003e \u003cem\u003eMusaceae\u003c/em\u003e peels underwent meticulous cleaning with distilled water to eliminate impurities, followed by a 6-hour drying period in an oven. Subsequently, the cleansed peels were finely cut for combustion in a furnace, with the smaller segments carefully placed in a crucible. The furnace, which was maintained at a temperature of 400\u0026deg;C, was operated for three hours to facilitate the process of combustion. Next, the furnace was examined to confirm the complete conversion of Musaceae peel into ash. Subsequently, the resulting sample was allowed to air dry naturally at ambient temperature while undergoing precise weight measurements utilizing an analytical balance (Diyana \u003cem\u003eet al.\u003c/em\u003e 2019).\u003c/p\u003e \u003cp\u003e \u003cb\u003ePreparation of silica\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eIn the silica preparation process, 30 g of ash was boiled in 1 L of 1 M NaOH for an hour with continuous stirring until complete dissolution, resulting in a sodium silicate solution. Following filtration, the residue was washed with distilled water. The filtrate was then cooled and adjusted to pH 7 using 1 M H2SO4 and 1 M HCl through titration. Gelation was initiated, and an 18-hour aging period was allowed. The formed gel was gently disrupted and centrifuged at 2500 rpm for 10 minutes, after which the supernatant was discarded. The resulting gel underwent an 11-hour drying process at 80\u0026deg;C, resulting in the formation of a xerogel. Subsequently, the xerogel was washed with deionized water to remove minerals and impurities (Norzahir et al. \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cb\u003eSynthesis of mesoporous silica nanoparticles\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eSilica powder (6 g) was treated with 100 ml of 1 N NaOH, yielding a sodium silicate solution with purified silica particles following a filtration step. The resulting sodium silicate solution undergoes dropwise addition of a 2% CTAB solution, resulting in an alkaline solution with a pH between 10\u0026ndash;11. pH neutralization is accomplished by adding 5 M CH3COOH (5 M CH3COOH in 95 ml of distilled water), maintaining a pH of 7\u0026ndash;8 /formation of a white precipitate containing mesoporous silica nanoparticles (MSNs). Mesoporous silica nanoparticles are created by grinding this precipitate in a mortar after it has been roasted at 60\u0026deg;C in a hot-air furnace (Purwaningsih et al. \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e\n\u003ch3\u003eCharacterization analysis of mesoporous silica nanoparticles:\u003c/h3\u003e\n\u003cp\u003e \u003cb\u003eEnergy dispersive X-ray analysis\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eEnergy dispersive X-ray analysis (EDX) is an elemental analysis technique linked with electron microscopy that provides insights through characteristic X-rays, revealing the presence of elements in a sample. The peak position and energy in the spectrum precisely determine each element, with the peak area reflecting the quantity of atoms in the irradiated area. Typically, qualitative analysis involves employing the manufacturer's software for identifying elements in the spectrum. The analysis was applied to a prepared sample of powdered mesoporous silica nanoparticles, facilitating comprehensive examination of its elemental composition (Dang Thi Thuy Nhung \u003cem\u003eet al\u003c/em\u003e. 2017).\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003e \u003cb\u003eFourier transform infrared spectroscopy\u003c/b\u003e:\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eFourier transform infrared (FT-IR) spectroscopy was performed to obtain molecular information for the material under study. FTIR analysis can be used for quantitative analysis, which reveals relevant standards, as well as for the qualitative analysis of materials. The samples were mixed with KBr and analyzed with a JASCO FTIR-4700 instrument (Japan). FT-IR spectra of the samples were recorded from 4000 to 400 cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. It can analyze samples up to ~\u0026thinsp;11 mm in diameter and measure them in the bulk or top layer (Diyana \u003cem\u003eet al\u003c/em\u003e. 2019).\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003e \u003cb\u003eScanning electron microscopy\u003c/b\u003e:\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eScanning electron microscopy (SEM) was used to investigate the structure and morphology of the nanoparticles at enhanced magnification and resolution. SEM images of the silica samples were captured via Phenom Pro. SEM analysis was conducted with a Hitachi S4500 scanning electron microscope at a specific magnification. To prepare a thin sample film on a carbon-coated copper grid, an ample amount of the sample was dropped onto the grid, and excess material was removed with paper. The SEM grid with the sample film was then left to dry under a mercury lamp for 5 minutes, ensuring optimal imaging conditions (Vladar \u003cem\u003eet al\u003c/em\u003e. 2020).\u003c/p\u003e \u003cp\u003e \u003cb\u003eZeta potential\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eThe synthesized mesoporous silica nanoparticles were mixed with ethanol and then sonicated for 5 minutes. Subsequently, the sonicated sample was injected into a zeta potential analyzer. The zeta potential analysis served two purposes: first, to evaluate the charge stability of the dispersed system and, second, to measure the magnitude of the electrical charge. This involved distributing an electrical current throughout the sample using a folded capillary flow cell.\u003c/p\u003e"},{"header":"Results And Discussion","content":"\u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003e \u003cb\u003eSilica Synthesis\u003c/b\u003e:\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003eEach agricultural residue possesses a unique silica content. This study focused on the use of \u003cem\u003eMusaceae\u003c/em\u003e peel ash (BPA) as a starting point for silica synthesis from peels. Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e outlines the silica yield from approximately 50 grams of \u003cem\u003eMusaceae\u003c/em\u003e peel, generating approximately 4.2 grams of \u003cem\u003eMusaceae\u003c/em\u003e peel ash. This synthesis process produces approximately 1.9 weight % of silica and 22.5 weight % of oxygen, accounting for a high percentage of the total \u003cem\u003eMusaceae\u003c/em\u003e peel ash weight, which is consistent with the findings of Mohamad et al. (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). The silica content from \u003cem\u003eMusaceae\u003c/em\u003e peel ash synthesis is approximately 1.9 grams, which contributes to the formation of mesoporous silica nanoparticles (MSNs) (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) at a rate of 4.8 weight % of silica and 40.1 weight % of oxygen (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cem\u003eMusaceae\u003c/em\u003e peel ash and silica content\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eMusaceae\u003c/em\u003e peel (grams)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eMusaceae\u003c/em\u003e peel ash (grams)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSilica weight %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eOxygen weight %\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMesoporous silica content of \u003cem\u003eMusaceae\u003c/em\u003e peels\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eCrude silica (weight %)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eMesoporous silica nanoparticles (weight %)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eSilica (Si)\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eOxygen (O)\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eS1.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e40.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eEDAX Analysis of Silica Coated Mesoporous Silica Nanoparticles\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eThe elemental composition of ferrous magnetic nanoparticles coated with silica, as illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, was examined by energy dispersive X-ray spectroscopy (EDX). The EDX results confirmed the presence of silica-coated ferrous magnetic nanoparticles, as evidenced by the peaks corresponding to silica, oxide, and ferrous elements. Specifically, the analysis revealed a silica content of 4.8% and an oxide content of 40.1%. These values collectively account for 100% of the total elemental composition, indicating a high level of purity in the sample without any discernible elemental impurities, as reported by Ranjbakhsh et al. (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2012\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eFTIR characterization\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eThe analysis of silica nanoparticles synthesized from banana peel ash (BPA) aimed to characterize the surface chemistry and identify functional groups of organic materials affixed to the surface of the nanoparticles. The findings, illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, delineate the predominant chemical groups found in the produced mesoporous silica nanoparticles (MSNs) through Fourier transform infrared (FTIR) analysis. In the spectral range from 650 cm⁻\u0026sup1; to 1300 cm⁻\u0026sup1;, corresponding to the SiO₂ film, a broad peak representing Si-O-C bonds was identified, extending from 950 cm⁻\u0026sup1; to 1250 cm⁻\u0026sup1; (Meera et al. \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2006\u003c/span\u003e and Oh \u003cem\u003eet al.\u003c/em\u003e 2005). Within the range of 700 \u0026sim; 950 cm⁻\u0026sup1;, the peak is attributed to Si-C, CO, and Si-O bonds, collectively forming the broad Si-O-C band. The Si-O-C bond, which spans from 950 to 1150 cm⁻\u0026sup1;, includes both C-O and Si-O bonds. Below 950 cm⁻\u0026sup1;, the peak observed between 660 \u0026sim; 950 cm⁻\u0026sup1; due to the Si-O-C bond appears broader than that within the range of 700 \u0026sim; 950 cm⁻\u0026sup1; for the SiOC (Teresa \u003cem\u003eet al.\u003c/em\u003e 2010).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eScanning electron microscopy (SEM)\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eTo carry out a comprehensive analysis of the particles synthesized through this method, we employed scanning electron microscopy (SEM), and the resulting images are presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e. The micrographs vividly depict a discernible pattern showcasing a remarkably uniform morphology of particles, characterized by structural homogeneity. These particles exhibit diameters predominantly ranging from 60 to 100 nm, with a prevalent size of approximately 80 nm. Particularly noteworthy is the consistent and smooth surface observed in the images, indicating the well-crystallized nature of the particles. Meticulous examination of the silica magnetite surface morphology was performed using scanning electron microscopy (SEM), as illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e. This imagery reveals sizable particles with a rugged surface, manifesting commendable homogeneity in both size and shape distribution. These substantial particles play a pivotal role in enhancing the mass transfer rate, facilitating the adsorption of metal ions onto the surface of synthesized silica magnetite composite nanoparticles (SCMNPs). This characteristic contributes significantly to an augmented adsorption capacity. Notably, the SEM images distinctly reveal an island growth pattern within the densely packed spherical arrangement, underscoring the intricacies of the surface morphology and emphasizing its relevance in optimizing adsorption capabilities (Wenguang \u003cem\u003eet al.\u003c/em\u003e 2006).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eZeta potential\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eThe evaluation of the zeta potential assumes a pivotal role in appraising the stability of nanoparticles by scrutinizing the rapid oscillations in scattered light within a solution or suspended medium. Within the study's framework, magnetic nanoparticles coated with silica sourced from rice husk ash, were characterized through zeta potential analysis, as illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e. The resultant zeta potential value, approximately \u0026minus;\u0026thinsp;9.00 mV, and zeta deviation value, approximately 10.2 Mv, suggest a moderate level of stability for the nanoparticles. This finding confirms the efficacy of the selected synthesis method for producing silica-coated magnetic nanoparticles, as elucidated in the research by Fathy et al. (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study pioneers an innovative and environmentally conscious approach to repurposing banana peel waste, a byproduct of substantial banana production by Tamil Nadu, using the sol-gel technique to create mesoporous silica nanoparticles (MSNs). By addressing the environmental challenge posed by solid waste, especially from smaller banana varieties, this research significantly contributes to sustainable waste management solutions. The synthesis process involves the meticulous preparation of banana peel ash, followed by silica synthesis via the sol-gel method, leading to the development of amorphous silica, referred to as xerogel. The subsequent conversion into mesoporous silica nanoparticles, facilitated by cetyl trimethyl ammonium bromide (CTAB) as a template, enhances the innovation of this study. Thorough characterization analyses, including scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and energy dispersive X-ray analysis (EDX), unequivocally confirmed the successful synthesis and high purity of the mesoporous silica nanoparticles. EDX analysis confirmed the elemental composition, confirming the presence of silica-coated ferrous magnetic nanoparticles with exceptional purity. FTIR characterization offers valuable insights into surface chemistry, emphasizing the significance of Si-O-C bonds pivotal for the structure of mesoporous silica. SEM images vividly portray the consistent morphology of the synthesized particles, displaying diameters within the range of 60 to 100 nm and a surface that is both smooth and well-crystallized. The discernible island growth pattern observed in the densely packed spherical arrangement underscores the intricacies of the surface morphology, which plays a critical role in optimizing the adsorption capabilities. In essence, this study not only repurposes banana peel waste as a valuable material but also paves the way for the application of mesoporous silica nanoparticles in advanced fields such as biosensors and drug delivery. The zeta potential analysis of the silica-coated magnetic nanoparticles derived from rice husk ash indicated a moderate level of stability, with a resultant value of approximately \u0026minus;\u0026thinsp;9.00 mV and a zeta deviation of approximately 10.2 mV. This research underscores the potential of harnessing agricultural by-products for sustainable material synthesis, aligning seamlessly with the global imperative for eco-friendly practices and effective waste management.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eFunding:\u003c/h2\u003e \u003cp\u003eNo funding was received for this manuscript.\u003c/p\u003e\u003ch2\u003eAuthor contribution:\u003c/h2\u003e \u003cp\u003e Monica. M: Conceptualization, Data Curation, Methodology, Writing- Original draft, Visualization. Jayasree. R: Supervision, Visualization and Editing. Irine Briny Hepzibha. J: Data curation and formatting.\u003c/p\u003e\u003ch2\u003eData availability:\u003c/h2\u003e \u003cp\u003eThe data are available upon request\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eMohamad DF, Osman NS, Nazri Mohd KHM, Mazlan AA, Hanafi MF, Esa YA, Rafi MIIM, Zailani MN, Rahman NN, Rahman AHA, Sapawe N (2019) Synthesis of Mesoporous Silica Nanoparticle from Banana Peel Ash for Removal of Phenol and Methyl Orange in Aqueous Solution. \u003cem\u003eMaterials Today: Proceedings\u003c/em\u003e 19: 1119\u0026ndash;1125. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.matpr.2019.11.004\u003c/span\u003e\u003cspan address=\"10.1016/j.matpr.2019.11.004\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePurwaningsih H, Ervianto Y, Pratiwi V, Susanti D, Purniawan A (2019) Effect of Cetyl Trimethyl Ammonium Bromide as Template of Mesoporous Silica MCM-41 from Rice Husk by Sol-Gel Method. \u003cem\u003eIOP Conference Series: Materials Science and Engineering\u003c/em\u003e 515: 1\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1088/1757-899X/515/1/012051\u003c/span\u003e\u003cspan address=\"10.1088/1757-899X/515/1/012051\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDang Thi TN, Tran H, Nguyen Thuy AT, Dang Van P, Phan Dinh T, Nguyen QN (2017) Synthesis of silica nanoparticles from rice husk ash. 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Life Sci 222:94\u0026ndash;102. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.lfs.2019.02.058\u003c/span\u003e\u003cspan address=\"10.1016/j.lfs.2019.02.058\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","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":"Banana peel waste, Mesoporous silica nanoparticles, Sustainable waste utilization, Eco-friendly, Waste management","lastPublishedDoi":"10.21203/rs.3.rs-4015345/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4015345/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe growing challenge of solid waste in various industries underscores the need for sustainable environmental solutions. This study focused on converting banana peel waste, a byproduct from the global banana industry, into valuable mesoporous silica nanoparticles (MSNs) through an eco-friendly approach. \u003cem\u003eMusaceae\u003c/em\u003e peels, which are rich in nutrients and are abundant in Tamil Nadu, India, are often overlooked. In response to the demand for sustainable waste management, this study explored the transformation of \u003cem\u003eMusaceae\u003c/em\u003e peel ash into silica using the sol-gel method. The synthesis process involves preparing \u003cem\u003eMusaceae\u003c/em\u003e peel ash, extracting silica with a sodium silicate solution, and subsequent gelation, drying, and purification steps to obtain amorphous silica powder. Characterization analyses, including scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy and energy dispersive X-ray (EDX) spectroscopy, confirmed the successful synthesis of the mesoporous silica nanoparticles. EDX confirmed the elemental composition, FTIR revealed chemical groups on the nanoparticle surface, and SEM images showed a uniform particle morphology, indicating a well-crystallized nature and optimized adsorption capabilities. This eco-friendly approach not only addresses environmental challenges in waste disposal but also contributes to developing mesoporous silica nanoparticles from a biosource, with potential applications in various advanced fields. This study aimed to promote sustainable waste utilization and explore eco-conscious materials for diverse applications.\u003c/p\u003e","manuscriptTitle":"Eco-Friendly Synthesis of Mesoporous Silica Nanoparticles from Banana Peel Waste: A Comprehensive Study on Sustainable Waste Utilization and Advanced Material Development","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-03-12 17:47:06","doi":"10.21203/rs.3.rs-4015345/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":"5243207f-4553-4a0d-96a7-97e78d813a41","owner":[],"postedDate":"March 12th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-03-12T20:29:19+00:00","versionOfRecord":[],"versionCreatedAt":"2024-03-12 17:47:06","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4015345","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4015345","identity":"rs-4015345","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}