Dissolved Oxygen Analysis in Hydrodynamic Cavitation Pre-treatment for Enhanced Biological Decomposition of Sedimented Municipal Wastewater

Dissolved Oxygen Analysis in Hydrodynamic Cavitation Pre-treatment for Enhanced Biological Decomposition of Sedimented Municipal Wastewater | 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 Dissolved Oxygen Analysis in Hydrodynamic Cavitation Pre-treatment for Enhanced Biological Decomposition of Sedimented Municipal Wastewater Selly Ayu Janetasari, Dr. Ljudmilla Bokányi Ph.D, CSc This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8870076/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 Municipal wastewater treatment plants in developing countries frequently experience ineffective performance due to inadequate treatment facilities. This leads to significant environmental pollution from untreated or partially treated wastewater discharge. This study addresses this challenge by devoted to a novel method for pre-treatment sedimented wastewater by combining hydrodynamic cavitation with Dudar brown coal or zeolite as adsorbents. The rationale for combining HC and adsorption lies in their potential synergistic effect: HC promotes the disintegration of particulate matter and cell lysis, increasing the solubilization of organic compounds and improving oxygen transfer, while adsorption facilitates the removal of slowly biodegradable and soluble organic substances. Together, these mechanisms can improve overall biodegradability and organic load reduction. This study aimed to enhance the efficiency of aerobic biological degradation by increasing the dissolved oxygen concentration in municipal wastewater treatment after primary sedimentation. The change in dissolved oxygen (DO) concentration during hydrodynamic cavitation and its relationship with other parameters, such as temperature, soluble chemical oxygen demand (SCOD), total organic carbon (TOC), and biological oxygen demand (BOD 5 ), were measured and analyzed. Experiments were conducted using a hydrodynamic cavitation setup with a 1.86 m³ open storage tank, with or without 0.5% adsorbents dosage, operating for 24 minutes, at a temperature 23 o C with samples taken at 0, 4, 8, 16, and 24-minute intervals. The results showed that the DO concentration due to cavitation increased in the initial retention time from 4.5 mg/L to 8 mg/L and then decreased at the 4 th minute, indicating aerobic degradation was taking place. Between 8-16 th minutes of treatment, BOD 5 increased because of the dissolution of organic substances. Finally, at the end of the treatment, BOD 5 declined, while DO stagnated between 7.02–7.86 mg/L demonstrating secondary aerobic degradation. The TOC removal efficiency data showed that hydrodynamic cavitation with Dudar brown coal addition reached the highest TOC removal efficiency of 74.16 %. Environmental Engineering Sedimented Wastewater Hydrodynamic Cavitation Adsorption Dissolved Oxygen Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Highlights • The effect of hydrodynamic cavitation with adsorption improved the biodegradation • Hydrodynamic cavitation significantly increased DO levels in sedimented wastewater • Adsorbents addition (brown coal/zeolite) enhanced aerobic degradation and TOC removal • Brown coal addition achieved the highest TOC removal at 74.16% • Study revealed a complex relationship between parameters during hydrodynamic cavitation treatment 1. Introduction In developing countries, communities continue to dispose of their wastewater ineffectively, and based on the data, only 40% and 53% of collected wastewater is treated in lower- and middle-income countries, respectively. In some regions, municipal wastewater is discharged into open channels or is only partially treated [1], [2]. In developing countries, it is common for wastewater treatment plants to have only primary treatment. This type of treatment usually involves the use of a gravity-settling unit to remove solids that have settled at the bottom and to collect any floating substances, such as grease and scum. After primary treatment, large amounts of unstable organic matter require further biodegradation athrough subsequent biological treatment processes. Primary treatment alone is inadequate for meeting the water quality standards (Englande, Krenkel and Shamas, 2015 ). Current wastewater treatment approaches primarily rely on conventional physical and chemical methods for primary and tertiary treatment stages. These established techniques, including settling, filtering, and chemical coagulation, while considered an effective wastewater treatment, demonstrate significant limitations when confronted with complex pollutants. Conventional treatment methods often struggle with the efficient removal of persistent organic compounds and non-biodegradable materials, while simultaneously raising concerns about excessive energy requirements and potential secondary contamination issues (Z. Liu et al., 2024 ). Integrating various wastewater treatment techniques is viewed as a promising approach for future improvements in wastewater treatment technology. Among AOPs, hydrodynamic cavitation (HC) has recently gained attention as a highly promising and energy-efficient pre-treatment method due to its ability to enhance solubilization and microbial degradation processes (Wang, Su and Zhang, 2021 ; Song et al., 2022 ), offering advantages such as low carbon footprint, energy efficiency, high effectiveness, and minimal secondary pollution (Z. Liu et al., 2024 ). Aerobic biological treatment, widely used as a secondary stage in municipal wastewater treatment, also presents several drawbacks. These include a strong dependence on maintaining adequate dissolved oxygen (DO) levels, limited degradation of complex or slowly biodegradable organic matter, and sensitivity to fluctuations in environmental conditions such as temperature, pH, and organic loading. These issues can lead to inconsistent treatment performance and reduced microbial activity. One potential solution for reducing the organic content in primary wastewater (i.e., sedimented wastewater) is the use of hydrodynamic cavitation. This approach has demonstrated potential due to its comparative energy efficiency and efficacy (Gogate and Pandit, 2005 ). Hydrodynamic cavitation (HC) is generated by the passage of fluid under pressure through an orifice plate or Venturi tube, which causes a significant decrease in pressure up to the vapor level. This process results in the formation of many microbubbles containing liquid vapor and dissolved gases within the cavitation-affected liquid. The extreme conditions created by hydrodynamic cavitation allow water molecules to break down into species with high oxidation potentials, such as (OH ● ), OOH ● , and H 2 O 2 , which can oxidize organic compounds in wastewater (Lee and Han, 2013 ). The forces of collapse can rupture the chemical bonds in organic pollutants and disrupt the cell walls of microorganisms. This disintegration releases organic compounds that could be readily accessible for decomposition by biological processes, ultimately improving the efficiency of wastewater treatment (Kampas et al., 2007 ). In recent years, there has been an increase in scientific research and publications regarding the use of hydrodynamic cavitation. The applicability of HC, alone or in combination with other techniques, has demonstrated its effectiveness in wastewater treatment across various biological and chemical processes. Hydrodynamic cavitation has also proved to be an effective pre-treatment before aerobic degradation(Mancuso, Langone and Andreottola, 2017 ) as it could convert complex pollutants into more biodegradable forms, leading to better chemical oxygen demand (COD) reduction during biological treatment (Gogate, Thanekar and Oke, 2020 ), and also considered as a novel technology for removing pharmaceuticals, toxic cyanobacteria, other bacteria, and viruses from water and wastewater (Dular et al., 2016 ). Several combined methods that involve combining HC with H 2 O 2 , ozone oxidation, Fenton reagents, and ultraviolet irradiation, as well as coupling it with biological oxidation, have shown significant effects compared to individual approaches for treating organic pollutants present in wastewater (Thanekar and Gogate, 2018 ). For instance, Rajoriya et al.(Rajoriya, Bargole and Saharan, 2017 ) demonstrated the enhanced reduction of cationic dyes through HC coupled with Fenton reagents, achieving up to 66.3% TOC reduction. Similarly, Wang et al.(Wang et al., 2020 ) reported intensified degradation of textile wastewater using HC combined with ozone, achieving 36% COD and 23% TOC removal. Furthermore, Mukherjee et al.(Mukherjee et al., 2020 ) integrated HC with H₂O₂ and ozone for greywater treatment, achieving a TOC reduction of 76.26%. These studies highlight the potential of HC in combined with oxidative agents, to strengthen the generation of reactive species, such as hydroxyl radicals to enhance the oxidative degradation of pollutants, with discussions centered on the solubilization of organic matter and cavitation operating parameters (Thanekar and Gogate, 2018 ; Wang, Su and Zhang, 2021 ; Song et al., 2022 ). However, research on the effects of combining HC with the adsorption process is limited. This study introduces a novel approach by combining HC with Dudar brown coal or zeolite as adsorbents to pre-treat sedimented municipal wastewater. This research aims to bring together innovative technology based on the intensive effect of cavitation with the adsorption phenomenon, specifically focusing on examining the change in dissolved oxygen (DO) concentration of sedimented wastewater during the treatment process. HC could enhances the solubilization of organic matter and disrupt microbial cells through shear forces and shockwaves, while adsorption supports the removal of dissolved and slowly biodegradable organic pollutants. This complementary interaction improves the overall biodegradability of the wastewater and enhances aerobic biological treatment efficiency. The novelty lies in demonstrating how HC and adsorbent addition enhances dissolved oxygen levels, promote additional aerobic biological degradation, and improve organic matter removal. Adequate dissolved oxygen levels are critical parameters for the success of aerobic biological decomposition in wastewater treatment. Maintaining appropriate dissolved oxygen (DO) levels to effectively promote organic matter degradation is a significant concern in wastewater treatment plants (WWTPs) (Holenda et al., 2008 ; Ji et al., 2016 ). By addressing the gap in research on HC with adsorbent addition, this study provides a unique perspective for optimizing pre-treatment methods in municipal wastewater treatment. Adsorption has been widely used for the removal of pollutants from wastewater, such as heavy metals (Pintér-Móricz, Takács and Bokányi, 2018 ; Ahmadi et al., 2022 )and phosphates (Hoang Lam et al., 2021 ), and for the treatment of industrial effluents (Zaharia and Suteu, 2013 ). Natural zeolites are applied because of their high adsorption performance in aqueous solutions, such as ammonium and heavy metals. The ion exchange and sorption properties of natural zeolite make it highly suitable for agricultural applications to enhance the physical properties of the soil (Reháková et al., 2004 ). At the same time, brown coal from Dudar, Hungary, is known to have a high adsorption potential because of its high humic acid content (Pintér-Móricz, Takács and Bokányi, 2018 ; Bokányi et al., 2020 ). Combining hydrodynamic cavitation (HC) with the addition of adsorbents offers several advantages over conventional methods. This combined technique may enhance the degradation efficiency through the generation of highly reactive hydroxyl radicals, which can oxidize a wide range of organic pollutants, whereas adsorption effectively removes slowly biodegradable compounds. The effect of HC and adsorption may lead to higher removal rates of organic contaminants and potentially offer a more cost-effective solution. The system may achieve enhanced treatment efficiency while potentially reducing the overall energy compared to conventional methods and combination of HC with other AOPs technology. Furthermore, this technique minimizes secondary pollution and chemical usage, making it more sustainable. However, this method is not without its challenges. The combined system may be more complex to reveal the mechanism than the single-treatment methods. Despite these limitations, the potential benefits of combining HC with adsorption, particularly in addressing the need for effective wastewater treatment in developing countries, make this approach a promising area for further investigation. The main objectives of the present study were to investigate the effectiveness of combining hydrodynamic cavitation (HC) with adsorbents (specifically Dudar brown coal or zeolite) addition as a novel pre-treatment method for enhancing aerobic biological degradation in municipal wastewater treatment, by analyzing the change in dissolved oxygen (DO) concentration during hydrodynamic cavitation and its relationship with other parameters, such as temperature, soluble chemical oxygen demand (SCOD), total organic carbon (TOC), and biological oxygen demand (BOD 5 ). 2. Materials and Methods 2.1 Experimental Setup Experiments were carried out in the Laboratory of the Institute of Raw Material Preparation and Environmental Technology and on the industrial site of Transdanubian Regional Wastewater Plant in Siófok, Hungary. The hydrodynamic test rig was established. The experimental setup, as shown in Fig. 1 and Table 1 , consisted of an open storage tank with a volume of 1.86 m 3 , a cavitation chamber, pipelines with different cross-sections, pipelines with different cross-sections that connected the storage tank to the cavitation chamber, and a discharge valve. The recirculation process involved pumping the sludge from the storage tank through the cavitation chamber, where hydrodynamic treatment occurred, and then returning it to the tank. The pump, integral to the system, was composed of a rotating component, a stationary component, and a pump housing. The buffer volume of 1.5 m³ allowed for thorough mixing during the process. Hydrodynamic cavitation was conducted with or without adsorbent addition, namely 0.5% natural zeolite or 0.5% Dudar brown coal. The HC treatment was performed for 24 minutes with pump revolution number 1400 rpm (using frequency controller) at a frequency of 46.7 Hz, pressure 1.4 bar, and a flow rate 1000 L/min (Bokányi, no date), and samples were taken at 0, 4-, 8-, 16-, and 24-min for parameter measurements. Sedimented wastewater was collected from the primary stage of the wastewater treatment plant. The initial characteristics of the sedimented wastewater are presented in Table 2 . The sampling was conducted using sterile polypropylene bottles. Immediately after collection, the samples were stored in a cooler maintained at 4°C and transported to the laboratory. For Total Organic Carbon (TOC) analysis, samples were stored at 4°C and analyzed within 7 days. For Biological Oxygen Demand (BOD₅) analysis, the samples were stored in dark glass bottles, kept at 4°C, and analyzed within 24 hours of collection. For Soluble Chemical Oxygen Demand (SCOD) analysis, the samples were filtered through a 0.45 µm membrane filter and stored in glass bottles at 4°C. Table 2 Characterization of Sedimented Wastewater from Siófok WWTP (Bokányi, no date) Parameter Value pH 7.71 Temperature 23.3 o C Dissolved Oxygen (DO) 4.53 mg/L Total Organic Carbon (TOC) 40.49 mg/L Biological Oxygen Demand (BOD 5 ) 180 mg/L Soluble Chemical Oxygen Demand (SCOD) 613 mg/L 2.2 Analytical Methods and Determinations The effect of hydrodynamic cavitation combined with adsorbent addition on sedimented wastewater was traced and interpreted by the change in the following parameters: temperature, dissolved oxygen (DO), total organic carbon (TOC), biological oxygen demand (BOD 5 ), and soluble chemical oxygen demand (SCOD). During the experiments dissolved oxygen (DO), temperature, biological oxygen demand (BOD 5 ), and soluble chemical oxygen demand (SCOD) were measured on-site at the Laboratory of Siófok Wastewater Treatment Plant. DO and temperature were measured using a Hach Multiparameter Analyzer 101. SCOD was measured using the dichromate reflux colorimetry method. BOD 5 was measured using a standard 5-day biochemical oxygen demand (BOD 5 ) test. The total organic carbon (TOC) measurements were carried out at the Wastewater Treatment Laboratory, Institute of Raw Material Preparation and Environmental Technologies, University of Miskolc, using a Shimadzu TOC-L series analyzer. To quantify the effectiveness of TOC elimination through the hydrodynamic cavitation-adsorption treatment, the TOC removal efficiency was determined using the following equation: $$\:\varvec{T}\varvec{O}\varvec{C}\:\varvec{r}\varvec{e}\varvec{m}\varvec{o}\varvec{v}\varvec{a}\varvec{l}\:\varvec{e}\varvec{f}\varvec{f}\varvec{i}\varvec{c}\varvec{i}\varvec{e}\varvec{n}\varvec{c}\varvec{y}=\frac{\text{Δ}\varvec{T}\varvec{O}\varvec{C}}{{\varvec{T}\varvec{O}\varvec{C}}_{\varvec{i}\varvec{n}\varvec{i}\varvec{t}\varvec{i}\varvec{a}\varvec{l}}}\times\:100\mathbf{\%}$$ 3 ΔTOC : The difference between TOC before and after hydrodynamic cavitation; TOC initial : TOC before hydrodynamic cavitation. 3. Results and Discussion 3.1 Dissolved Oxygen Value Over Time for Sedimented Municipal Wastewater During Hydrodynamic Cavitation Dissolved oxygen (DO) is defined in biological treatment as the relative amount of oxygen dissolved in wastewater available to sustain the life of living microorganisms. Aerobic microorganisms use dissolved oxygen to break down organic matter and thus lower DO concentrations. Aerobic microorganisms are used in wastewater treatment to aerobically degrade and remove organic matter. As a result, effective treatment is dependent on the physiological activity of microorganisms, and thus on the proper concentration of dissolved oxygen. It is crucial to maintain a sufficiently high DO level during the secondary wastewater treatment step to ensure a sufficient supply of oxygen to the microorganisms in the suspension ( Holenda et al., 2008 ) . The changes in the dissolved oxygen (DO) concentration of tap water with the addition of Dudar brown coal (Bokányi, no date) and sedimented wastewater during hydrodynamic cavitation, either with or without adsorbent addition, are shown in Fig. 2 . Tap water with Dudar brown coal addition acted to compare and evaluate the impact of hydrodynamic cavitation (HC) on dissolved oxygen (DO) concentration prior to applying the method to real wastewater. DO concentration in the water with the addition of coal increased rapidly from 8.74 to 9.76 mg/L until the 8th minute and then slightly decreased to 9.28 mg/L at the end of HC. This proves that hydrodynamic cavitation successfully increased the dissolved oxygen level in water. Wastewater has low dissolved oxygen compared to tap water because it has high levels of organic matter; as a result, more dissolved oxygen is consumed by aerobic microorganisms to degrade organic compounds. When the hydrodynamic cavitation was applied to wastewater, the results in all the treatments of sedimented wastewater showed that the dissolved oxygen concentration increased significantly from 4.5 mg/L to 8 mg/L until the 4th minute of HC treatment and then decreased slightly to 7-7.4 mg/L. However, sedimented wastewater with Dudar brown coal addition showed a lower DO concentration compared to the other treatments. The reduced dissolved oxygen concentration in the sedimented wastewater with the addition of brown coal between the 4th and 16th-minute retention times indicates that more intense aerobic degradation occurred during this period than in the case of zeolite. Between the 16th -24th minute of retention time, the DO concentration increased only slightly from 7.15–7.35 mg/L, which could be considered a measurement error. During HC treatment, the enormous collapse force can break organic pollutant molecular bonds and destroy microorganism cell walls, with the subsequent release of enzymes. The disintegration of macromolecules also causes the release of organic substances, which leads to a decrease in DO concentration. In addition, the decrease in dissolved oxygen concentration could also be influenced by an increase in temperature during the treatment period. The increase in DO concentration during hydrodynamic cavitation can be attributed to several mechanisms. Primarily, the physical effects of cavitation create microbubbles that increase the air-water interface, enhancing oxygen transfer from the gas phase. Additionally, cavitation-induced turbulence promotes mixing and increases the overall mass transfer coefficient for oxygen. Moreover, oxygen may also be produced from the creation of hydroperoxyl radicals during hydrodynamic cavitation according to the following equation ( Ozonek, 2012 ) : : H 2 O → H• + OH• (cavitation-induced water dissociation) (1) H• + O 2 → HOO• (reaction of hydrogen radical with dissolved oxygen) (2) The hydroperoxyl radicals (HOO•) can then react to form oxygen: HOO ● +HOO ● → H 2 O 2 +O 2 (3) During hydrodynamic cavitation, vapor bubbles form and collapse in a liquid due to rapid changes in pressure, creating localized regions of high temperature and pressure. These extreme conditions lead to various chemical reactions, including the formation of reactive oxygen species (ROS) such as hydrogen peroxide and hydroperoxyl radical (HOO●). The decomposition of hydrogen peroxide (H₂O₂) also could facilitate the generation of oxygen (O₂) and water (H₂O), enhancing the dissolved oxygen levels in wastewater (Zhang et al., 2024 ). 3.2 The Effect of Physical-Chemical Parameters of Sedimented Municipal Wastewater during Hydrodynamic Cavitation on the Dissolved Oxygen The relationship between dissolved oxygen (DO) and various parameters are denoted as x i , x 2 , x 3 , x 4, and x 5 , forming the function DO = f (x 1 , x 2 , x 3 , x 4 , x 5 ) (4) where x i , x 2 , x 3 , x 4, and x 5 are the retention time, temperature, BOD 5 , SCOD, and TOC content, respectively. We aimed to determine the influence of these parameters on the DO values. However, our analysis revealed that the relationship between DO and these parameters could not be adequately described through regression analysis, as the resulting p-value was greater than 0.05. The p-value is a statistical measure that helps to determine whether the results of a study are statistically significant. This lack of significance can be attributed to the complexity of the hydrodynamic cavitation with adsorption treatment. The complex interplay of multiple factors within the treatment process makes it difficult to establish an explicit relationship between the DO and the parameters. 3.2.1 Dissolved Oxygen (DO), Retention Time and Temperature Higher water temperatures can lead to lower levels of dissolved oxygen because there is an inverse relationship between temperature and the solubility of oxygen. As water temperature increased, DO levels tended to decrease. However, during the early stages of cavitation, an increase in temperature can indicate a higher aerobic degradation rate due to increased cavitation intensity caused by the formation of multiple cavitation bubbles in the reactor (Thanekar and Gogate, 2018 ). The temperature increase can also be the result of physical friction. The relationships between DO, retention time, and temperature are shown in Fig. 3 (a-c). The DO of sedimented wastewater during HC treatment tended to increase from the beginning of the treatment. Meanwhile, in the first four minutes of retention time, the temperature of sedimented wastewater without adsorbent and with the addition of Dudar brown coal decreased very slightly from 23.3 o C to 22.2 o C and 21.8 o C respectively. However, the HC treatment of sedimented wastewater with zeolite addition constantly increased. The temperature started to increase significantly from the 4th minute of retention time, reaching 26-28 o C, in all cases, while the dissolved oxygen decreased slightly. At the 4th minute of retention time, the HC treatment without adsorbent and brown coal addition attained the highest DO level. Temperature is considered an important physical factor influencing nutrient removal efficiency, as it directly affects the metabolic rate of microorganisms. Temperature also affects all biological processes, and the increase in water temperatures results in lower levels of dissolved oxygen due to the inverse relationship between oxygen solubility and temperature. As the temperature of the water increases, the dissolved oxygen level tends to decrease. An increase in temperature in the early stages results in an increased degradation rate due to the enhanced cavitation intensity based on the formation of cavitation bubbles in the reactor (Thanekar and Gogate, 2018 ). The friction between the particles and fluid makes the kinetic energy converted into heat, thus increasing the temperature. During fluid flow in the chamber, the flow rate or kinetic energy increases and is transformed into thermal energy. Meanwhile, the gas dissolved in the solution will decrease as the temperature increases, thus providing fewer cavity nuclei for the formation of cavitation. 3.2.2 Dissolved Oxygen (DO), Retention Time, and Biological Oxygen Demand (BOD 5 ) The biochemical oxygen demand (BOD 5 ) is an indicator of the amount of water pollution caused by biodegradable organic matter. It can be determined by measuring the amount of dissolved oxygen consumed by microbes for their metabolism. BOD 5 measures the BOD over five days. In wastewater treatment, the decrease in BOD 5 is typically attributed to organic matter oxidation (Jouanneau et al., 2014 ). Figure 4 (a-c) illustrates the relationship between dissolved oxygen, the retention time, and biological oxygen demand (BOD 5 ) during hydrodynamic cavitation treatment. According to the theory, the higher dissolved oxygen concentration indicates the effective decomposition by aerobic microorganisms, as a result, when dissolved oxygen (DO) levels in wastewater increase it typically leads to a reduction in biochemical oxygen demand (BOD 5 ). This relationship is apparent in some values of sedimented wastewater during hydrodynamic cavitation without adsorbent addition, where BOD 5 decreases as DO increases. The DO concentration significantly increased at the 4th minute of retention time from 4.53 mg/L to 7.97 mg/L, while the BOD 5 decreased from 180 mg/L to 163 mg/L, indicating an intensive aerobic degradation. However, the hydrodynamic cavitation with the adsorption process is complex. Changes in the DO concentration could be the result of multiple factors. In the case of sedimented wastewater during HC treatment with the addition of Dudar brown coal, the DO concentration increased to 8 mg/L when the BOD 5 level increased to 186 mg/L. Similarly, in the HC treatment with zeolite addition, the DO concentration increased to 7.84 mg/L when the BOD 5 level also increased to 180 mg/L. This demonstrates the potential of HC treatment with adsorbent addition not only to maintain high DO levels but also to effectively disrupt the cell walls of microorganisms and break down pollutant macromolecules. This leads to the release, dissolution, and further degradation of the organic substances. 3.2.3 Dissolved Oxygen (DO), Retention Time, and Soluble Chemical Oxygen Demand (SCOD) The SCOD was proven to be a reliable parameter for measuring the concentration of soluble organic compounds in the liquid phase. The relationships between DO, SCOD, and retention time are illustrated in Fig. 5 ((a)-(c)). In all treatment cases, DO and SCOD values increased significantly from the beginning of the treatment until the 4th minute of retention time. The SCOD value in the HC treatment with Dudar brown coal continued to increase until the end of treatment. In contrast, during this period, the DO value decreased because of the increase in the amount of dissolved organic matter and its further degradation. At the 24th minute of retention time, HC treatment with Dudar brown coal reached the highest SCOD value, which means that solubilization of organic matter occurred at this retention time. In addition to its adsorptive capacity, the particulate nature of brown coal also contributes to its physical effects. Specifically, the abrasive quality of coal particles allows them to grind, scrape, and fragment larger molecules and flocs in wastewater through friction and shearing forces. This mechanical disruption helps break down the pollutant macromolecules into smaller oligomers and increases the SCOD. The increase in soluble chemical oxygen demand (SCOD) values during hydrodynamic cavitation treatment indicates the release and diffusion of organic matter from the solid particulate phase into the dissolved liquid phase of wastewater (Chen et al., 2020 ). In the case of hydrodynamic cavitation of sedimented wastewater with zeolite addition, the highest SCOD value was obtained at the 8th minute of retention time, while the DO concentration also reached the highest value at this time. This value, however, is significantly lower than in the case of Dudar brown coal with or without adsorbent. The increase in SCOD in this research aligns with the previous study by Yao, 2022 (Yao et al., 2022 ). In that study, sludge was also found to increase SCOD by 22.98% during hydrodynamic cavitation. This supports that hydrodynamic cavitation can solubilize organic matter in sludge, releasing it from the solid phase into the aqueous phase and leading to higher SCOD. The increase in SCOD after hydrodynamic cavitation treatment can be attributed to the release of organic matter and extracellular polymeric substances (EPS) from the solid phase to the aqueous phase. As the intensity of hydrodynamic cavitation or shear stress increases, it induces the disintegration of the solid structures in sludge, solubilizing particulate organic compounds, and extracellular polymeric substances (EPS) (Kim et al., 2020 ; X. Liu et al., 2024 ). 3.2.4 Dissolved Oxygen (DO), Retention Time, and Total Organic Carbon (TOC) The most comprehensive method for identifying all forms of organic matter in wastewater is Total Organic Carbon (TOC) analysis. This technique measures the quantity of organic carbon present in all the dissolved compounds, making it an effective way to trace the carbon content of organic pollutants. The relationship between DO, retention time, and TOC value shown in Fig. 6 ((a)-(c)) shows that in the case of HC with Dudar brown coal and zeolite addition, the decrease in TOC value started from the beginning until the end of the treatment at 24th minutes of retention time, which proves the intense aerobic degradation. In contrast, from the 4th or 8th min of retention time until the end of the treatment, the DO values increased significantly and then stagnated between 7.02–7.86 mg/L. This demonstrates that the combined use of HC and adsorption improves the effectiveness of degradation. By combining hydrodynamic cavitation with the adsorption process, the elimination of total organic carbon from wastewater has been improved (Bokányi, no date; Bokányi et al., 2023 ; Pintér-Móricz, 2023 ). The trends observed in Figs. 3 to 6 highlight the consistent influence of hydrodynamic cavitation (HC) and adsorbent addition on DO concentration, organic pollutant solubilization, and degradation. The initial rise in DO during HC can be attributed to increased oxygen mass transfer through cavitation-induced microbubble formation and turbulence (Ozonek, 2012 ; Dular et al., 2015 ). Simultaneously, the temperature rise and elevated SCOD values reflect solubilization of particulate organics due to intense shear forces. The slight increase in BOD₅ after initial DO peaks can be linked to the release of biodegradable substances, as also noted by Rajoriya (Rajoriya, Bargole and Saharan, 2017 ) in hybrid cavitation systems. In contrast, the TOC values without the addition of adsorbent increased slightly at the 4th min of retention time, then decreased within the 8th and 16th min of the treatment period and increased significantly to reach the highest TOC value at the end of the treatment. This phenomenon correlates with the physical effects of hydrodynamic cavitation, which can produce shear forces in solid particles. These effects include the dissolution of soluble compounds into the fluid phase. As a result, the dissolved organic matter concentration in the liquid increased, leading to a higher TOC value. The total organic carbon (TOC) removal efficiency provides a quantitative measure of the percentage of TOC that was effectively degraded and eliminated from the wastewater during the treatment process. Total organic carbon (TOC) removal efficiency plays a role as an indicator of the degree of mineralization, allowing for the evaluation of the performance of hydrodynamic cavitation combined with adsorbents. Mineralization refers to the breakdown of persistent pollutants into CO₂, H₂O, and inorganic substances. Achieving complete mineralization of pollutants can be challenging for only using a simple water system (Amarzadeh et al., 2023 ; Yaghoot-Nezhad et al., 2023 ). As shown in Fig. 7 , the hydrodynamic cavitation (HC) without any adsorbent addition achieved a TOC removal efficiency as high as 29.15%. In comparison, HC with the addition of Dudar brown coal and zeolite attained TOC removal efficiencies of 74.17% and 60.47%, respectively. Brown coal addition in the HC treatment demonstrated the highest TOC removal efficiency compared to HC without adsorbent and zeolite addition. The adsorption of Dudar brown coal as a natural adsorbent facilitated additional aerobic degradation using HC in comparison with HC alone. It is also evident that Dudar brown coal is a somewhat more powerful additive than zeolite. Recent studies have also demonstrated the competitive performance of HC-based systems for TOC removal in sludge and wastewater effluents (Adewoye et al., 2021 ; Zieliński et al., 2024 ), supporting the relevance of the comparisons provided in Table 3 . It is shown from Table 3 that the combined HC and adsorbents addition, especially HC with Dudar brown coal addition exhibited better TOC removal efficiency than HC combined with ozone oxidation, which achieved 23% TOC removal in textile wastewater applications, and was comparable to HC combined with hydrogel, which achieved 73.6%. Table 3 Comparison of Hydrodynamic Cavitation with or without Adsorbent Addition Results to the Other Technologies Technology Substrate Results in terms of TOC removal efficiency, BOD 5, and SCOD concentration Author(s) Hydrodynamic Cavitation Sedimented Wastewater Sedimented wastewater without adsorbent achieved TOC removal efficiency of 29.15% The current work HC+ Dudar brown coal or Zeolite Sedimented Wastewater TOC removal efficiency of sedimented wastewater with Dudar brown coal and zeolite addition improved significantly compared to HC without the addition of adsorbents, reaching 74.17% with Dudar brown coal and 60.47% with zeolite addition. . The current work HC+ Ozone Textile Wastewater In a 30-minute treatment of actual textile wastewater, the combined application of HC and O 3 demonstrated better performance compared to individual treatments. This combined approach achieved removal rates of 36% for COD, 23% for TOC, 71% for UV254, and 90% for color. Jihong Wang et al, 2020 (Wang et al., 2020 ) Hydrodynamic Cavitation Waste Activated Sludge SCOD Increased up to 155.8%, sTOC increase from 292.5 ± 34.6 mg/L up to 345 ± 11.3 mg/L S. Repinc et al, 2021 (Repinc et al., 2021 ) HC, HC + Oxygen, HC + O 3 , HC + Fenton Textile Dyeing Industry Effluent Range of TOC reduction for HC alone as 19.06%, HC + Oxygen as 18.10%, HC + H 2 O 2 as 24.65%, HC + ferrous sulfate as 66.3%, HC + O 3 as 71.76% Rajoriya, S.et al, 2017 (Rajoriya, Bargole and Saharan, 2017 ) HC+ Hydrogel crystal violet (CV) dye The total TOC reduction achieved by the hybrid system was 73.60%. In contrast, the separate effects of HC and hydrogel alone were 19.4% and 26.13%, respectively. A.Raj et al. 2018 (Raj, Bethi and Sonawane, 2018 ) HC + Hydrogen Peroxide Natural Organic Matter The highest removal efficiencies (34%-36%) were achieved in the most acidic pH ranges (2.6-3.0) when the H 2 O 2 concentration was 15m. Findings indicated a high NOM removal efficiency (about 90%) following decantation at the most acidic pH levels. M. Araujo, et al. 2020 (Araujo et al., 2020 ) HC, HC + H 2 O 2 , HC + O 3 , HC+H 2 O 2 +O 3 Greywater The optimal H 2 O 2 dosage of 5 g/h resulted in an 87.5% COD reduction, after which effectiveness diminished. Incorporating O 3 achieved a 57.5% COD reduction, it increased treatment expenses. A combined approach (HC+H 2 O 2 +O 3 ) achieved 76.26% TOC and 98.25% COD reductions within 60 minutes. A.Mukherjee, et al.2020(Mukherjee et al., 2020 ) Hydrodynamic Cavitation Aerobic Granular Sludge The degree of solubilization was 37% for COD and 42% for TOC. M. Zielinski (Zieliński et al., 2024 ) Fenton + Activated Carbon Manufacture of acrylic resins with methyl methacrylate (MMA) The maximum adsorption capacity obtained was qm = 1.15 g/g for TOC and 11.65 g/g for COD at optimum conditions. The removal efficiencies of the Fenton adsorption treatment were 96% of color, 58% of TOC, and 60% COD. Almazán-Sánchez, et al. 2014 (Almazán-Sánchez et al., 2014 ) Multi-Walled Carbon Nanotubes (MWCNTs) with central composite design (CCD) Produced Water The CCD in the response surface methodology predicted 260 mg/g adsorption capacity of FMWCNTs in the removal of TOC at the optimum condition of 49.70 min contact time, 34.81 C solution temperature, and 0.02 g adsorbent dosage. Adewoye, et al, 2024 (Adewoye et al., 2021 ) Conclusions The research based on the industrial trial and laboratory-scale experimental work aims to investigate the synergy of the intensive additional aerobic degradation of hydrodynamic cavitation (HC) with the adsorption phenomenon Based on these results, the following key findings can be concluded: HC treatment rapidly increased DO levels from 4.5 to 8 mg/L from the beginning until the 8th minute of the treatment period, this increase is likely due to microbubble generation and hydroxyl radical formation. The increased DO concentration appeared to facilitate aerobic degradation, as evidenced by initial BOD5 and TOC values declined. However, the subsequent increase in BOD 5 , even as DO remained high, suggests that HC effectively disrupts microbial cell walls and breaks down pollutant macromolecules, releasing more organic matter into the solution. Temperature continuously increased during treatment, likely due to aerobic degradation and physical friction, while DO increased and then stabilized. Even though DO concentration decreased slightly after reaching the highest value, it remained at 7–8 mg/L throughout the treatment, indicating that HC treatment can create sustained aerobic conditions that are advantageous for biological treatment. The addition of adsorbents, particularly Dudar brown coal, significantly enhanced TOC removal efficiency when combined with HC. Dudar brown coal showed better performance compared to zeolite in facilitating organic matter dissolution and aerobic degradation. The findings suggest that the combination of hydrodynamic cavitation (HC) with adsorbent addition enhances dissolved oxygen (DO) levels and promotes organic matter degradation. While the disruption of microbial cell walls has been associated with increased soluble chemical oxygen demand (SCOD), further investigation is required to confirm the specific phenomenon. Moreover, Dudar brown coal showed excellent performance as an adsorbent compared to natural zeolite in facilitating the degradation of organic matter. Further investigation is needed to reveal more about the complex phenomena taking place in this complex system by investigating molecular-scale interactions. Techniques such as scanning electron microscopy (SEM) should employed to analyze structural changes and surface interactions of the pollutant during hydrodynamic cavitation and adsorbent addition treatment. Additionally, the correlation between different adsorbent particle sizes and removal efficiency must be examined to optimize the process for enhanced pollutant removal, and the economic feasibility and environmental impacts of this treatment method should be assessed in comparison to conventional wastewater treatment processes. Declarations Ethics approval and consent to participate Not applicable Consent for publication Not applicable Data Availability and Materials All the data included in the article Conflict-of-Interest Statement The authors declare that they have no conflict of interest. Acknowledgments This article is a part of the research “Development of bio raw materials product range with a special regard to the local technology – research on the possibility of utilization by technological optimization” GINOP-2.2.1-15-2017-00069 R&D PROJECT with the consortium of Transdanubian Regional Water Works (PLC) and the Institute of Raw Materials Preparation and Environmental Processing, University of Miskolc (project scientific leader: Dr. Ljudmilla Bokányi PhD, CSc). Author contribution S.A.J (PhD student) analyzed TOC values, received the other data, wrote, and revised the manuscript. L.B (Honorary Professor) project leader, supervisor, provided the data, checked, led the work on data evaluation, drawing the conclusions, and wrote the article. References Adewoye TL et al (2021) Optimization of the adsorption of total organic carbon from produced water using functionalized multi-walled carbon nanotubes, Heliyon , 7(1), p. e05866. 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Proceedings of the International V4 Waste Recycling 21 Conference . Miskolc: University of Miskolc, p. 150 Raj A, Bethi B, Sonawane SH (2018) Investigation of removal of crystal violet dye using novel hybrid technique involving hydrodynamic cavitation and hydrogel, Journal of Environmental Chemical Engineering , 6(4), pp. 5311–5319. Available at: https://doi.org/10.1016/j.jece.2018.08.016 Rajoriya S, Bargole S, Saharan VK (2017) Degradation of a cationic dye (Rhodamine 6G) using hydrodynamic cavitation coupled with other oxidative agents: Reaction mechanism and pathway, Ultrasonics Sonochemistry , 34, pp. 183–194. Available at: https://doi.org/10.1016/j.ultsonch.2016.05.028 Reháková M et al (2004) Agricultural and agrochemical uses of natural zeolite of the clinoptilolite type, Current Opinion in Solid State and Materials Science , 8(6), pp. 397–404. Available at: https://doi.org/10.1016/j.cossms.2005.04.004 Repinc SK et al (2021) Integral analysis of hydrodynamic cavitation effects on waste activated sludge characteristics, potentially toxic metals, microorganisms and identification of microplastics, Science of the Total Environment , 806. Available at: https://doi.org/10.1016/j.scitotenv.2021.151414 Song Y et al (2022) Hydrodynamic cavitation as an efficient water treatment method for various sewage:- A review, Water Science and Technology , 86(2), pp. 302–320. Available at: https://doi.org/10.2166/wst.2022.201 Thanekar P, Gogate P (2018) Application of hydrodynamic cavitation reactors for treatment of wastewater containing organic pollutants: Intensification using hybrid approaches, Fluids , 3(4). Available at: https://doi.org/10.3390/fluids3040098 Wang B, Su H, Zhang B (2021) Hydrodynamic cavitation as a promising route for wastewater treatment – A review, Chemical Engineering Journal . Elsevier B.V. Available at: https://doi.org/10.1016/j.cej.2021.128685 Wang J et al (2020) Intensified degradation of textile wastewater using a novel treatment of hydrodynamic cavitation with the combination of ozone, Journal of Environmental Chemical Engineering , 8(4), p. 103959. Available at: https://doi.org/10.1016/j.jece.2020.103959 Yaghoot-Nezhad A et al (2023) Heterogeneous photocatalytic activation of electrogenerated chlorine for the production of reactive oxygen and chlorine species: A new approach for Bisphenol A degradation in saline wastewater, Journal of Hazardous Materials , 445, p. 130626. Available at: https://doi.org/10.1016/j.jhazmat.2022.130626 Yao Y et al (2022) Insight into the sludge reduction performances by hydrodynamic cavitation, Journal of Water Process Engineering , 49(June), p. 102950. Available at: https://doi.org/10.1016/j.jwpe.2022.102950 Zaharia C, Suteu D (2013) Coal fly ash as adsorptive material for treatment of a real textile effluent: operating parameters and treatment efficiency, Environmental Science and Pollution Research , 20(4), pp. 2226–2235. Available at: https://doi.org/10.1007/s11356-012-1065-z Zhang L et al (2024) Effects of Na+/H2O2 on nitrogen removal and sludge activity: Performance and mechanism, Journal of Environmental Chemical Engineering , 12(5), p. 113194. Available at: https://doi.org/10.1016/j.jece.2024.113194 Zieliński M et al (2024) Application of Hydrodynamic Cavitation in the Disintegration of Aerobic Granular Sludge—Evaluation of Pretreatment Time on Biomass Properties, Anaerobic Digestion Efficiency and Energy Balance, Energies , 17(2), p. 335. Available at: https://doi.org/10.3390/en17020335 Additional Declarations The authors declare no competing interests. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8870076","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":590780034,"identity":"4d950c5a-ae40-483c-9a0c-f06cfb5baca7","order_by":0,"name":"Selly Ayu Janetasari","email":"data:image/png;base64,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","orcid":"","institution":"Institute of Raw Material Preparation and Environmental Technologies, University of Miskolc, Hungary","correspondingAuthor":true,"prefix":"","firstName":"Selly","middleName":"Ayu","lastName":"Janetasari","suffix":""},{"id":590780035,"identity":"3c57ca24-70fe-4e8e-b673-4f02f2fb049c","order_by":1,"name":"Dr. Ljudmilla Bokányi Ph.D, CSc","email":"","orcid":"","institution":"Institute of Raw Material Preparation and Environmental Technologies, University of Miskolc, Hungary","correspondingAuthor":false,"prefix":"Dr.","firstName":"Ljudmilla","middleName":"Bokányi","lastName":"Ph.D","suffix":"Ph.D"}],"badges":[],"createdAt":"2026-02-13 09:39:03","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-8870076/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8870076/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":102728385,"identity":"487f3d7d-3326-44db-a3d6-32f0f3b8af8c","added_by":"auto","created_at":"2026-02-16 03:33:56","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":324017,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eScheme of the Experimental Setup \u003c/strong\u003e(Bokányi, no date)\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8870076/v1/e498b62fe530eaf52e1d60d6.png"},{"id":102728381,"identity":"86d3fffd-f962-41ba-86f4-09072b450782","added_by":"auto","created_at":"2026-02-16 03:33:56","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":65718,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDissolved Oxygen of Tap Water and Sedimented Wastewater during Hydrodynamic Cavitation Treatment\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-8870076/v1/472d10f40a1e5126f9bb723b.png"},{"id":102749157,"identity":"9ff111d7-99cf-401b-b481-1afdbaa7434e","added_by":"auto","created_at":"2026-02-16 09:12:08","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":147466,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThe Relationship between DO, Retention Time, and Temperature during Hydrodynamic Cavitation: (a) without Adsorbent Addition; (b) with Dudar Brown Coal Addition; (c) with Zeolite Addition\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-8870076/v1/9c0f82fd2d47e81e6292feb9.png"},{"id":102962223,"identity":"cd14c9cd-62c7-4ce1-b274-edf07360633b","added_by":"auto","created_at":"2026-02-19 04:05:40","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":137100,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThe Relationship between DO, Retention Time, and BOD\u003c/strong\u003e\u003csub\u003e\u003cstrong\u003e5\u003c/strong\u003e\u003c/sub\u003e\u003cstrong\u003e during Hydrodynamic Cavitation: (a) without Adsorbent Addition; (b) with Brown Coal Addition; (c) with Zeolite Addition\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-8870076/v1/30d0ef6510efa02e7e247349.png"},{"id":102728387,"identity":"57f2fd12-8781-425e-9c7e-dcf66d6667eb","added_by":"auto","created_at":"2026-02-16 03:33:56","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":144024,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThe Relationship between DO, Retention Time, and SCOD during Hydrodynamic Cavitation: (a) without Adsorbent Addition; (b) with Dudar Brown Coal Addition; (c) with Zeolite Addition\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-8870076/v1/35d8f31621aec875e5b3d1ab.png"},{"id":102728388,"identity":"806e556a-409c-42b6-bfab-dcf6f244d3be","added_by":"auto","created_at":"2026-02-16 03:33:56","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":147731,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThe Relationship between DO, Retention Time, and TOC\u003c/strong\u003e\u003csub\u003e\u003cstrong\u003efiltered\u003c/strong\u003e\u003c/sub\u003e\u003cstrong\u003e during Hydrodynamic Cavitation: (a) without Adsorbent Addition; (b) with Dudar Brown Coal Addition; (c) with Zeolite Addition\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-8870076/v1/421772903bf07f4212a19b81.png"},{"id":102749284,"identity":"c62adf02-1062-4968-a64e-fbb695cc4d28","added_by":"auto","created_at":"2026-02-16 09:12:20","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":75410,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eTOC Removal Efficiency of Sedimented Wastewater by Hydrodynamic Cavitation combined with Adsorption\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-8870076/v1/365e8fa9678b945d4188b3d0.png"},{"id":103056537,"identity":"d7d48f5f-45f3-4115-8509-585406aa230c","added_by":"auto","created_at":"2026-02-20 09:14:01","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2415673,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8870076/v1/f310aaf5-8a61-47a3-81e4-20c8fca17946.pdf"},{"id":102728384,"identity":"9534b8de-6901-4322-b5f0-f329e491b65d","added_by":"auto","created_at":"2026-02-16 03:33:56","extension":"png","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":250353,"visible":true,"origin":"","legend":"","description":"","filename":"GA.png","url":"https://assets-eu.researchsquare.com/files/rs-8870076/v1/37fe370a711732d3fde6b09a.png"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eDissolved Oxygen Analysis in Hydrodynamic Cavitation Pre-treatment for Enhanced Biological Decomposition of Sedimented Municipal Wastewater\u003c/p\u003e","fulltext":[{"header":"Highlights","content":"\u003cp\u003e\u0026bull; The effect of hydrodynamic cavitation with adsorption improved the biodegradation\u003c/p\u003e\u003cp\u003e\u0026bull; Hydrodynamic cavitation significantly increased DO levels in sedimented wastewater\u003c/p\u003e\u003cp\u003e\u0026bull; Adsorbents addition (brown coal/zeolite) enhanced aerobic degradation and TOC removal\u003c/p\u003e\u003cp\u003e\u0026bull; Brown coal addition achieved the highest TOC removal at 74.16%\u003c/p\u003e\u003cp\u003e\u0026bull; Study revealed a complex relationship between parameters during hydrodynamic cavitation treatment\u003c/p\u003e"},{"header":"1. Introduction","content":"\u003cp\u003eIn developing countries, communities continue to dispose of their wastewater ineffectively, and based on the data, only 40% and 53% of collected wastewater is treated in lower- and middle-income countries, respectively. In some regions, municipal wastewater is discharged into open channels or is only partially treated [1], [2]. In developing countries, it is common for wastewater treatment plants to have only primary treatment. This type of treatment usually involves the use of a gravity-settling unit to remove solids that have settled at the bottom and to collect any floating substances, such as grease and scum. After primary treatment, large amounts of unstable organic matter require further biodegradation athrough subsequent biological treatment processes. Primary treatment alone is inadequate for meeting the water quality standards (Englande, Krenkel and Shamas, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2015\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eCurrent wastewater treatment approaches primarily rely on conventional physical and chemical methods for primary and tertiary treatment stages. These established techniques, including settling, filtering, and chemical coagulation, while considered an effective wastewater treatment, demonstrate significant limitations when confronted with complex pollutants. Conventional treatment methods often struggle with the efficient removal of persistent organic compounds and non-biodegradable materials, while simultaneously raising concerns about excessive energy requirements and potential secondary contamination issues (Z. Liu et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIntegrating various wastewater treatment techniques is viewed as a promising approach for future improvements in wastewater treatment technology. Among AOPs, hydrodynamic cavitation (HC) has recently gained attention as a highly promising and energy-efficient pre-treatment method due to its ability to enhance solubilization and microbial degradation processes (Wang, Su and Zhang, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Song et al., \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2022\u003c/span\u003e), offering advantages such as low carbon footprint, energy efficiency, high effectiveness, and minimal secondary pollution (Z. Liu et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Aerobic biological treatment, widely used as a secondary stage in municipal wastewater treatment, also presents several drawbacks. These include a strong dependence on maintaining adequate dissolved oxygen (DO) levels, limited degradation of complex or slowly biodegradable organic matter, and sensitivity to fluctuations in environmental conditions such as temperature, pH, and organic loading. These issues can lead to inconsistent treatment performance and reduced microbial activity.\u003c/p\u003e \u003cp\u003eOne potential solution for reducing the organic content in primary wastewater (i.e., sedimented wastewater) is the use of hydrodynamic cavitation. This approach has demonstrated potential due to its comparative energy efficiency and efficacy (Gogate and Pandit, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2005\u003c/span\u003e). Hydrodynamic cavitation (HC) is generated by the passage of fluid under pressure through an orifice plate or Venturi tube, which causes a significant decrease in pressure up to the vapor level. This process results in the formation of many microbubbles containing liquid vapor and dissolved gases within the cavitation-affected liquid. The extreme conditions created by hydrodynamic cavitation allow water molecules to break down into species with high oxidation potentials, such as (OH\u003csup\u003e●\u003c/sup\u003e), OOH\u003csup\u003e●\u003c/sup\u003e, and H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e, which can oxidize organic compounds in wastewater (Lee and Han, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). The forces of collapse can rupture the chemical bonds in organic pollutants and disrupt the cell walls of microorganisms. This disintegration releases organic compounds that could be readily accessible for decomposition by biological processes, ultimately improving the efficiency of wastewater treatment (Kampas et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2007\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn recent years, there has been an increase in scientific research and publications regarding the use of hydrodynamic cavitation. The applicability of HC, alone or in combination with other techniques, has demonstrated its effectiveness in wastewater treatment across various biological and chemical processes. Hydrodynamic cavitation has also proved to be an effective pre-treatment before aerobic degradation(Mancuso, Langone and Andreottola, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) as it could convert complex pollutants into more biodegradable forms, leading to better chemical oxygen demand (COD) reduction during biological treatment (Gogate, Thanekar and Oke, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), and also considered as a novel technology for removing pharmaceuticals, toxic cyanobacteria, other bacteria, and viruses from water and wastewater (Dular et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Several combined methods that involve combining HC with H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e, ozone oxidation, Fenton reagents, and ultraviolet irradiation, as well as coupling it with biological oxidation, have shown significant effects compared to individual approaches for treating organic pollutants present in wastewater (Thanekar and Gogate, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). For instance, Rajoriya et al.(Rajoriya, Bargole and Saharan, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) demonstrated the enhanced reduction of cationic dyes through HC coupled with Fenton reagents, achieving up to 66.3% TOC reduction. Similarly, Wang et al.(Wang et al., \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) reported intensified degradation of textile wastewater using HC combined with ozone, achieving 36% COD and 23% TOC removal. Furthermore, Mukherjee et al.(Mukherjee et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) integrated HC with H₂O₂ and ozone for greywater treatment, achieving a TOC reduction of 76.26%. These studies highlight the potential of HC in combined with oxidative agents, to strengthen the generation of reactive species, such as hydroxyl radicals to enhance the oxidative degradation of pollutants, with discussions centered on the solubilization of organic matter and cavitation operating parameters (Thanekar and Gogate, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Wang, Su and Zhang, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Song et al., \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eHowever, research on the effects of combining HC with the adsorption process is limited. This study introduces a novel approach by combining HC with Dudar brown coal or zeolite as adsorbents to pre-treat sedimented municipal wastewater. This research aims to bring together innovative technology based on the intensive effect of cavitation with the adsorption phenomenon, specifically focusing on examining the change in dissolved oxygen (DO) concentration of sedimented wastewater during the treatment process. HC could enhances the solubilization of organic matter and disrupt microbial cells through shear forces and shockwaves, while adsorption supports the removal of dissolved and slowly biodegradable organic pollutants. This complementary interaction improves the overall biodegradability of the wastewater and enhances aerobic biological treatment efficiency.\u003c/p\u003e \u003cp\u003eThe novelty lies in demonstrating how HC and adsorbent addition enhances dissolved oxygen levels, promote additional aerobic biological degradation, and improve organic matter removal. Adequate dissolved oxygen levels are critical parameters for the success of aerobic biological decomposition in wastewater treatment. Maintaining appropriate dissolved oxygen (DO) levels to effectively promote organic matter degradation is a significant concern in wastewater treatment plants (WWTPs) (Holenda et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Ji et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). By addressing the gap in research on HC with adsorbent addition, this study provides a unique perspective for optimizing pre-treatment methods in municipal wastewater treatment.\u003c/p\u003e \u003cp\u003eAdsorption has been widely used for the removal of pollutants from wastewater, such as heavy metals (Pint\u0026eacute;r-M\u0026oacute;ricz, Tak\u0026aacute;cs and Bok\u0026aacute;nyi, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Ahmadi et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2022\u003c/span\u003e)and phosphates (Hoang Lam et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), and for the treatment of industrial effluents (Zaharia and Suteu, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). Natural zeolites are applied because of their high adsorption performance in aqueous solutions, such as ammonium and heavy metals. The ion exchange and sorption properties of natural zeolite make it highly suitable for agricultural applications to enhance the physical properties of the soil (Reh\u0026aacute;kov\u0026aacute; et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2004\u003c/span\u003e). At the same time, brown coal from Dudar, Hungary, is known to have a high adsorption potential because of its high humic acid content (Pint\u0026eacute;r-M\u0026oacute;ricz, Tak\u0026aacute;cs and Bok\u0026aacute;nyi, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Bok\u0026aacute;nyi et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eCombining hydrodynamic cavitation (HC) with the addition of adsorbents offers several advantages over conventional methods. This combined technique may enhance the degradation efficiency through the generation of highly reactive hydroxyl radicals, which can oxidize a wide range of organic pollutants, whereas adsorption effectively removes slowly biodegradable compounds. The effect of HC and adsorption may lead to higher removal rates of organic contaminants and potentially offer a more cost-effective solution. The system may achieve enhanced treatment efficiency while potentially reducing the overall energy compared to conventional methods and combination of HC with other AOPs technology. Furthermore, this technique minimizes secondary pollution and chemical usage, making it more sustainable.\u003c/p\u003e \u003cp\u003eHowever, this method is not without its challenges. The combined system may be more complex to reveal the mechanism than the single-treatment methods. Despite these limitations, the potential benefits of combining HC with adsorption, particularly in addressing the need for effective wastewater treatment in developing countries, make this approach a promising area for further investigation.\u003c/p\u003e \u003cp\u003eThe main objectives of the present study were to investigate the effectiveness of combining hydrodynamic cavitation (HC) with adsorbents (specifically Dudar brown coal or zeolite) addition as a novel pre-treatment method for enhancing aerobic biological degradation in municipal wastewater treatment, by analyzing the change in dissolved oxygen (DO) concentration during hydrodynamic cavitation and its relationship with other parameters, such as temperature, soluble chemical oxygen demand (SCOD), total organic carbon (TOC), and biological oxygen demand (BOD\u003csub\u003e5\u003c/sub\u003e).\u003c/p\u003e"},{"header":"2. Materials and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Experimental Setup\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eExperiments were carried out in the Laboratory of the Institute of Raw Material Preparation and Environmental Technology and on the industrial site of Transdanubian Regional Wastewater Plant in Si\u0026oacute;fok, Hungary. The hydrodynamic test rig was established. The experimental setup, as shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e and Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, consisted of an open storage tank with a volume of 1.86 m\u003csup\u003e3\u003c/sup\u003e, a cavitation chamber, pipelines with different cross-sections, pipelines with different cross-sections that connected the storage tank to the cavitation chamber, and a discharge valve. The recirculation process involved pumping the sludge from the storage tank through the cavitation chamber, where hydrodynamic treatment occurred, and then returning it to the tank. The pump, integral to the system, was composed of a rotating component, a stationary component, and a pump housing. The buffer volume of 1.5 m\u0026sup3; allowed for thorough mixing during the process.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003e\u003cimg 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\" width=\"609\" height=\"270\"\u003e\u003c/p\u003e\u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eHydrodynamic cavitation was conducted with or without adsorbent addition, namely 0.5% natural zeolite or 0.5% Dudar brown coal. The HC treatment was performed for 24 minutes with pump revolution number 1400 rpm (using frequency controller) at a frequency of 46.7 Hz, pressure 1.4 bar, and a flow rate 1000 L/min (Bok\u0026aacute;nyi, no date), and samples were taken at 0, 4-, 8-, 16-, and 24-min for parameter measurements.\u003c/p\u003e \u003cp\u003eSedimented wastewater was collected from the primary stage of the wastewater treatment plant. The initial characteristics of the sedimented wastewater are presented in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. The sampling was conducted using sterile polypropylene bottles. Immediately after collection, the samples were stored in a cooler maintained at 4\u0026deg;C and transported to the laboratory. For Total Organic Carbon (TOC) analysis, samples were stored at 4\u0026deg;C and analyzed within 7 days. For Biological Oxygen Demand (BOD₅) analysis, the samples were stored in dark glass bottles, kept at 4\u0026deg;C, and analyzed within 24 hours of collection. For Soluble Chemical Oxygen Demand (SCOD) analysis, the samples were filtered through a 0.45 \u0026micro;m membrane filter and stored in glass bottles at 4\u0026deg;C.\u003c/p\u003e \u003c/div\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\u003e\u003cb\u003eCharacterization of Sedimented Wastewater from Si\u0026oacute;fok WWTP\u003c/b\u003e \u003cem\u003e(Bok\u0026aacute;nyi, no date)\u003c/em\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParameter\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eValue\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003epH\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.71\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTemperature\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23.3 \u003csup\u003eo\u003c/sup\u003e C\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDissolved Oxygen (DO)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.53 mg/L\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal Organic Carbon (TOC)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e40.49 mg/L\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBiological Oxygen Demand (BOD\u003csub\u003e5\u003c/sub\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e180 mg/L\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSoluble Chemical Oxygen Demand (SCOD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e613 mg/L\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Analytical Methods and Determinations\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe effect of hydrodynamic cavitation combined with adsorbent addition on sedimented wastewater was traced and interpreted by the change in the following parameters: temperature, dissolved oxygen (DO), total organic carbon (TOC), biological oxygen demand (BOD\u003csub\u003e5\u003c/sub\u003e), and soluble chemical oxygen demand (SCOD).\u003c/p\u003e \u003cp\u003eDuring the experiments dissolved oxygen (DO), temperature, biological oxygen demand (BOD\u003csub\u003e5\u003c/sub\u003e), and soluble chemical oxygen demand (SCOD) were measured on-site at the Laboratory of Si\u0026oacute;fok Wastewater Treatment Plant. DO and temperature were measured using a Hach Multiparameter Analyzer 101. SCOD was measured using the dichromate reflux colorimetry method. BOD\u003csub\u003e5\u003c/sub\u003e was measured using a standard 5-day biochemical oxygen demand (BOD\u003csub\u003e5\u003c/sub\u003e) test. The total organic carbon (TOC) measurements were carried out at the Wastewater Treatment Laboratory, Institute of Raw Material Preparation and Environmental Technologies, University of Miskolc, using a Shimadzu TOC-L series analyzer.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003eTo quantify the effectiveness of TOC elimination through the hydrodynamic cavitation-adsorption treatment, the TOC removal efficiency was determined using the following equation:\u003cdiv id=\"Equ1\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ1\" name=\"EquationSource\"\u003e\n$$\\:\\varvec{T}\\varvec{O}\\varvec{C}\\:\\varvec{r}\\varvec{e}\\varvec{m}\\varvec{o}\\varvec{v}\\varvec{a}\\varvec{l}\\:\\varvec{e}\\varvec{f}\\varvec{f}\\varvec{i}\\varvec{c}\\varvec{i}\\varvec{e}\\varvec{n}\\varvec{c}\\varvec{y}=\\frac{\\text{\u0026Delta;}\\varvec{T}\\varvec{O}\\varvec{C}}{{\\varvec{T}\\varvec{O}\\varvec{C}}_{\\varvec{i}\\varvec{n}\\varvec{i}\\varvec{t}\\varvec{i}\\varvec{a}\\varvec{l}}}\\times\\:100\\mathbf{\\%}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e3\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003e \u003cb\u003eΔTOC\u003c/b\u003e : The difference between TOC before and after hydrodynamic cavitation;\u003c/p\u003e \u003cp\u003e \u003cb\u003eTOC\u003c/b\u003e \u003csub\u003e \u003cb\u003einitial\u003c/b\u003e \u003c/sub\u003e : TOC before hydrodynamic cavitation.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results and Discussion","content":"\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e3.1 Dissolved Oxygen Value Over Time for Sedimented Municipal Wastewater During Hydrodynamic Cavitation\u003c/h2\u003e \u003cp\u003eDissolved oxygen (DO) is defined in biological treatment as the relative amount of oxygen dissolved in wastewater available to sustain the life of living microorganisms. Aerobic microorganisms use dissolved oxygen to break down organic matter and thus lower DO concentrations. Aerobic microorganisms are used in wastewater treatment to aerobically degrade and remove organic matter. As a result, effective treatment is dependent on the physiological activity of microorganisms, and thus on the proper concentration of dissolved oxygen. It is crucial to maintain a sufficiently high DO level during the secondary wastewater treatment step to ensure a sufficient supply of oxygen to the microorganisms in the suspension \u003cem\u003e(\u003c/em\u003eHolenda et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2008\u003c/span\u003e\u003cem\u003e)\u003c/em\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe changes in the dissolved oxygen (DO) concentration of tap water with the addition of Dudar brown coal \u003cem\u003e(Bok\u0026aacute;nyi, no date)\u003c/em\u003e and sedimented wastewater during hydrodynamic cavitation, either with or without adsorbent addition, are shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. Tap water with Dudar brown coal addition acted to compare and evaluate the impact of hydrodynamic cavitation (HC) on dissolved oxygen (DO) concentration prior to applying the method to real wastewater. DO concentration in the water with the addition of coal increased rapidly from 8.74 to 9.76 mg/L until the 8th minute and then slightly decreased to 9.28 mg/L at the end of HC. This proves that hydrodynamic cavitation successfully increased the dissolved oxygen level in water. Wastewater has low dissolved oxygen compared to tap water because it has high levels of organic matter; as a result, more dissolved oxygen is consumed by aerobic microorganisms to degrade organic compounds.\u003c/p\u003e \u003cp\u003eWhen the hydrodynamic cavitation was applied to wastewater, the results in all the treatments of sedimented wastewater showed that the dissolved oxygen concentration increased significantly from 4.5 mg/L to 8 mg/L until the 4th minute of HC treatment and then decreased slightly to 7-7.4 mg/L. However, sedimented wastewater with Dudar brown coal addition showed a lower DO concentration compared to the other treatments. The reduced dissolved oxygen concentration in the sedimented wastewater with the addition of brown coal between the 4th and 16th-minute retention times indicates that more intense aerobic degradation occurred during this period than in the case of zeolite. Between the 16th -24th minute of retention time, the DO concentration increased only slightly from 7.15\u0026ndash;7.35 mg/L, which could be considered a measurement error.\u003c/p\u003e \u003cp\u003eDuring HC treatment, the enormous collapse force can break organic pollutant molecular bonds and destroy microorganism cell walls, with the subsequent release of enzymes. The disintegration of macromolecules also causes the release of organic substances, which leads to a decrease in DO concentration. In addition, the decrease in dissolved oxygen concentration could also be influenced by an increase in temperature during the treatment period.\u003c/p\u003e \u003cp\u003eThe increase in DO concentration during hydrodynamic cavitation can be attributed to several mechanisms. Primarily, the physical effects of cavitation create microbubbles that increase the air-water interface, enhancing oxygen transfer from the gas phase. Additionally, cavitation-induced turbulence promotes mixing and increases the overall mass transfer coefficient for oxygen.\u003c/p\u003e \u003cp\u003eMoreover, oxygen may also be produced from the creation of hydroperoxyl radicals during hydrodynamic cavitation according to the following equation \u003cem\u003e(\u003c/em\u003eOzonek, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2012\u003c/span\u003e\u003cem\u003e)\u003c/em\u003e: :\u003c/p\u003e \u003cp\u003eH\u003csub\u003e2\u003c/sub\u003eO \u0026rarr; H\u0026bull; + OH\u0026bull; (cavitation-induced water dissociation) (1)\u003c/p\u003e \u003cp\u003eH\u0026bull; + O\u003csub\u003e2\u003c/sub\u003e \u0026rarr; HOO\u0026bull; (reaction of hydrogen radical with dissolved oxygen) (2)\u003c/p\u003e \u003cp\u003eThe hydroperoxyl radicals (HOO\u0026bull;) can then react to form oxygen:\u003c/p\u003e \u003cp\u003eHOO \u003csup\u003e●\u003c/sup\u003e +HOO \u003csup\u003e●\u003c/sup\u003e\u0026rarr; H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e+O\u003csub\u003e2\u003c/sub\u003e (3)\u003c/p\u003e \u003cp\u003eDuring hydrodynamic cavitation, vapor bubbles form and collapse in a liquid due to rapid changes in pressure, creating localized regions of high temperature and pressure. These extreme conditions lead to various chemical reactions, including the formation of reactive oxygen species (ROS) such as hydrogen peroxide and hydroperoxyl radical (HOO●). The decomposition of hydrogen peroxide (H₂O₂) also could facilitate the generation of oxygen (O₂) and water (H₂O), enhancing the dissolved oxygen levels in wastewater (Zhang et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cb\u003e3.2 The Effect of Physical-Chemical Parameters of Sedimented Municipal Wastewater during Hydrodynamic Cavitation on the Dissolved Oxygen\u003c/b\u003e \u003c/p\u003e\u003cp\u003eThe relationship between dissolved oxygen (DO) and various parameters are denoted as x\u003csub\u003ei\u003c/sub\u003e, x\u003csub\u003e2\u003c/sub\u003e, x\u003csub\u003e3\u003c/sub\u003e, x\u003csub\u003e4,\u003c/sub\u003e and x\u003csub\u003e5\u003c/sub\u003e, forming the function\u003c/p\u003e \u003cp\u003eDO\u0026thinsp;=\u0026thinsp;f (x\u003csub\u003e1\u003c/sub\u003e, x\u003csub\u003e2\u003c/sub\u003e, x\u003csub\u003e3\u003c/sub\u003e, x\u003csub\u003e4\u003c/sub\u003e, x\u003csub\u003e5\u003c/sub\u003e) (4)\u003c/p\u003e \u003cp\u003ewhere x\u003csub\u003ei\u003c/sub\u003e, x\u003csub\u003e2\u003c/sub\u003e, x\u003csub\u003e3\u003c/sub\u003e, x\u003csub\u003e4,\u003c/sub\u003e and x\u003csub\u003e5\u003c/sub\u003e are the retention time, temperature, BOD\u003csub\u003e5\u003c/sub\u003e, SCOD, and TOC content, respectively. We aimed to determine the influence of these parameters on the DO values. However, our analysis revealed that the relationship between DO and these parameters could not be adequately described through regression analysis, as the resulting p-value was greater than 0.05. The p-value is a statistical measure that helps to determine whether the results of a study are statistically significant. This lack of significance can be attributed to the complexity of the hydrodynamic cavitation with adsorption treatment. The complex interplay of multiple factors within the treatment process makes it difficult to establish an explicit relationship between the DO and the parameters.\u003c/p\u003e \u003cdiv id=\"Sec7\" class=\"Section3\"\u003e \u003ch2\u003e3.2.1 Dissolved Oxygen (DO), Retention Time and Temperature\u003c/h2\u003e \u003cp\u003eHigher water temperatures can lead to lower levels of dissolved oxygen because there is an inverse relationship between temperature and the solubility of oxygen. As water temperature increased, DO levels tended to decrease. However, during the early stages of cavitation, an increase in temperature can indicate a higher aerobic degradation rate due to increased cavitation intensity caused by the formation of multiple cavitation bubbles in the reactor (Thanekar and Gogate, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). The temperature increase can also be the result of physical friction.\u003c/p\u003e\u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe relationships between DO, retention time, and temperature are shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e (a-c). The DO of sedimented wastewater during HC treatment tended to increase from the beginning of the treatment. Meanwhile, in the first four minutes of retention time, the temperature of sedimented wastewater without adsorbent and with the addition of Dudar brown coal decreased very slightly from 23.3\u003csup\u003eo\u003c/sup\u003eC to 22.2\u003csup\u003eo\u003c/sup\u003eC and 21.8\u003csup\u003eo\u003c/sup\u003eC respectively. However, the HC treatment of sedimented wastewater with zeolite addition constantly increased. The temperature started to increase significantly from the 4th minute of retention time, reaching 26-28\u003csup\u003eo\u003c/sup\u003eC, in all cases, while the dissolved oxygen decreased slightly. At the 4th minute of retention time, the HC treatment without adsorbent and brown coal addition attained the highest DO level.\u003c/p\u003e \u003cp\u003eTemperature is considered an important physical factor influencing nutrient removal efficiency, as it directly affects the metabolic rate of microorganisms. Temperature also affects all biological processes, and the increase in water temperatures results in lower levels of dissolved oxygen due to the inverse relationship between oxygen solubility and temperature. As the temperature of the water increases, the dissolved oxygen level tends to decrease. An increase in temperature in the early stages results in an increased degradation rate due to the enhanced cavitation intensity based on the formation of cavitation bubbles in the reactor (Thanekar and Gogate, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). The friction between the particles and fluid makes the kinetic energy converted into heat, thus increasing the temperature. During fluid flow in the chamber, the flow rate or kinetic energy increases and is transformed into thermal energy. Meanwhile, the gas dissolved in the solution will decrease as the temperature increases, thus providing fewer cavity nuclei for the formation of cavitation.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section3\"\u003e \u003ch2\u003e3.2.2 Dissolved Oxygen (DO), Retention Time, and Biological Oxygen Demand (BOD\u003csub\u003e5\u003c/sub\u003e)\u003c/h2\u003e \u003cp\u003eThe biochemical oxygen demand (BOD\u003csub\u003e5\u003c/sub\u003e) is an indicator of the amount of water pollution caused by biodegradable organic matter. It can be determined by measuring the amount of dissolved oxygen consumed by microbes for their metabolism. BOD\u003csub\u003e5\u003c/sub\u003e measures the BOD over five days. In wastewater treatment, the decrease in BOD\u003csub\u003e5\u003c/sub\u003e is typically attributed to organic matter oxidation (Jouanneau et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2014\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eFigure\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e (a-c) illustrates the relationship between dissolved oxygen, the retention time, and biological oxygen demand (BOD\u003csub\u003e5\u003c/sub\u003e) during hydrodynamic cavitation treatment. According to the theory, the higher dissolved oxygen concentration indicates the effective decomposition by aerobic microorganisms, as a result, when dissolved oxygen (DO) levels in wastewater increase it typically leads to a reduction in biochemical oxygen demand (BOD\u003csub\u003e5\u003c/sub\u003e). This relationship is apparent in some values of sedimented wastewater during hydrodynamic cavitation without adsorbent addition, where BOD\u003csub\u003e5\u003c/sub\u003e decreases as DO increases. The DO concentration significantly increased at the 4th minute of retention time from 4.53 mg/L to 7.97 mg/L, while the BOD\u003csub\u003e5\u003c/sub\u003e decreased from 180 mg/L to 163 mg/L, indicating an intensive aerobic degradation.\u003c/p\u003e \u003cp\u003eHowever, the hydrodynamic cavitation with the adsorption process is complex. Changes in the DO concentration could be the result of multiple factors. In the case of sedimented wastewater during HC treatment with the addition of Dudar brown coal, the DO concentration increased to 8 mg/L when the BOD\u003csub\u003e5\u003c/sub\u003e level increased to 186 mg/L. Similarly, in the HC treatment with zeolite addition, the DO concentration increased to 7.84 mg/L when the BOD\u003csub\u003e5\u003c/sub\u003e level also increased to 180 mg/L. This demonstrates the potential of HC treatment with adsorbent addition not only to maintain high DO levels but also to effectively disrupt the cell walls of microorganisms and break down pollutant macromolecules. This leads to the release, dissolution, and further degradation of the organic substances.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section3\"\u003e \u003ch2\u003e3.2.3 Dissolved Oxygen (DO), Retention Time, and Soluble Chemical Oxygen Demand (SCOD)\u003c/h2\u003e \u003cp\u003eThe SCOD was proven to be a reliable parameter for measuring the concentration of soluble organic compounds in the liquid phase. The relationships between DO, SCOD, and retention time are illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e ((a)-(c)). In all treatment cases, DO and SCOD values increased significantly from the beginning of the treatment until the 4th minute of retention time. The SCOD value in the HC treatment with Dudar brown coal continued to increase until the end of treatment. In contrast, during this period, the DO value decreased because of the increase in the amount of dissolved organic matter and its further degradation.\u003c/p\u003e \u003cp\u003eAt the 24th minute of retention time, HC treatment with Dudar brown coal reached the highest SCOD value, which means that solubilization of organic matter occurred at this retention time. In addition to its adsorptive capacity, the particulate nature of brown coal also contributes to its physical effects. Specifically, the abrasive quality of coal particles allows them to grind, scrape, and fragment larger molecules and flocs in wastewater through friction and shearing forces. This mechanical disruption helps break down the pollutant macromolecules into smaller oligomers and increases the SCOD. The increase in soluble chemical oxygen demand (SCOD) values during hydrodynamic cavitation treatment indicates the release and diffusion of organic matter from the solid particulate phase into the dissolved liquid phase of wastewater (Chen et al., \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eIn the case of hydrodynamic cavitation of sedimented wastewater with zeolite addition, the highest SCOD value was obtained at the 8th minute of retention time, while the DO concentration also reached the highest value at this time. This value, however, is significantly lower than in the case of Dudar brown coal with or without adsorbent. The increase in SCOD in this research aligns with the previous study by Yao, 2022 (Yao et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). In that study, sludge was also found to increase SCOD by 22.98% during hydrodynamic cavitation. This supports that hydrodynamic cavitation can solubilize organic matter in sludge, releasing it from the solid phase into the aqueous phase and leading to higher SCOD. The increase in SCOD after hydrodynamic cavitation treatment can be attributed to the release of organic matter and extracellular polymeric substances (EPS) from the solid phase to the aqueous phase. As the intensity of hydrodynamic cavitation or shear stress increases, it induces the disintegration of the solid structures in sludge, solubilizing particulate organic compounds, and extracellular polymeric substances (EPS) (Kim et al., \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; X. Liu et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section3\"\u003e \u003ch2\u003e3.2.4 Dissolved Oxygen (DO), Retention Time, and Total Organic Carbon (TOC)\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe most comprehensive method for identifying all forms of organic matter in wastewater is Total Organic Carbon (TOC) analysis. This technique measures the quantity of organic carbon present in all the dissolved compounds, making it an effective way to trace the carbon content of organic pollutants.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe relationship between DO, retention time, and TOC value shown in Fig.\u0026nbsp;6 ((a)-(c)) shows that in the case of HC with Dudar brown coal and zeolite addition, the decrease in TOC value started from the beginning until the end of the treatment at 24th minutes of retention time, which proves the intense aerobic degradation. In contrast, from the 4th or 8th min of retention time until the end of the treatment, the DO values increased significantly and then stagnated between 7.02\u0026ndash;7.86 mg/L. This demonstrates that the combined use of HC and adsorption improves the effectiveness of degradation. By combining hydrodynamic cavitation with the adsorption process, the elimination of total organic carbon from wastewater has been improved (Bok\u0026aacute;nyi, no date; Bok\u0026aacute;nyi et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Pint\u0026eacute;r-M\u0026oacute;ricz, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe trends observed in Figs.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e to 6 highlight the consistent influence of hydrodynamic cavitation (HC) and adsorbent addition on DO concentration, organic pollutant solubilization, and degradation. The initial rise in DO during HC can be attributed to increased oxygen mass transfer through cavitation-induced microbubble formation and turbulence (Ozonek, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Dular et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). Simultaneously, the temperature rise and elevated SCOD values reflect solubilization of particulate organics due to intense shear forces. The slight increase in BOD₅ after initial DO peaks can be linked to the release of biodegradable substances, as also noted by Rajoriya (Rajoriya, Bargole and Saharan, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) in hybrid cavitation systems.\u003c/p\u003e \u003cp\u003eIn contrast, the TOC values without the addition of adsorbent increased slightly at the 4th min of retention time, then decreased within the 8th and 16th min of the treatment period and increased significantly to reach the highest TOC value at the end of the treatment. This phenomenon correlates with the physical effects of hydrodynamic cavitation, which can produce shear forces in solid particles. These effects include the dissolution of soluble compounds into the fluid phase. As a result, the dissolved organic matter concentration in the liquid increased, leading to a higher TOC value.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe total organic carbon (TOC) removal efficiency provides a quantitative measure of the percentage of TOC that was effectively degraded and eliminated from the wastewater during the treatment process. Total organic carbon (TOC) removal efficiency plays a role as an indicator of the degree of mineralization, allowing for the evaluation of the performance of hydrodynamic cavitation combined with adsorbents. Mineralization refers to the breakdown of persistent pollutants into CO₂, H₂O, and inorganic substances. Achieving complete mineralization of pollutants can be challenging for only using a simple water system (Amarzadeh et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Yaghoot-Nezhad et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAs shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e7\u003c/span\u003e, the hydrodynamic cavitation (HC) without any adsorbent addition achieved a TOC removal efficiency as high as 29.15%. In comparison, HC with the addition of Dudar brown coal and zeolite attained TOC removal efficiencies of 74.17% and 60.47%, respectively. Brown coal addition in the HC treatment demonstrated the highest TOC removal efficiency compared to HC without adsorbent and zeolite addition. The adsorption of Dudar brown coal as a natural adsorbent facilitated additional aerobic degradation using HC in comparison with HC alone. It is also evident that Dudar brown coal is a somewhat more powerful additive than zeolite. Recent studies have also demonstrated the competitive performance of HC-based systems for TOC removal in sludge and wastewater effluents (Adewoye et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Zieliński et al., \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), supporting the relevance of the comparisons provided in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. It is shown from Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e that the combined HC and adsorbents addition, especially HC with Dudar brown coal addition exhibited better TOC removal efficiency than HC combined with ozone oxidation, which achieved 23% TOC removal in textile wastewater applications, and was comparable to HC combined with hydrogel, which achieved 73.6%.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eComparison of Hydrodynamic Cavitation with or without Adsorbent Addition Results to the Other Technologies\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\u003eTechnology\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSubstrate\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eResults in terms of TOC removal efficiency, BOD\u003csub\u003e5,\u003c/sub\u003e and SCOD concentration\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAuthor(s)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHydrodynamic Cavitation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSedimented Wastewater\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSedimented wastewater without adsorbent achieved TOC removal efficiency of 29.15%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eThe current work\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHC+ Dudar brown coal or Zeolite\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSedimented Wastewater\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTOC removal efficiency of sedimented wastewater with Dudar brown coal and zeolite addition improved significantly compared to HC without the addition of adsorbents, reaching 74.17% with Dudar brown coal and 60.47% with zeolite addition.\u003c/p\u003e \u003cp\u003e.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eThe current work\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHC+ Ozone\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTextile Wastewater\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eIn a 30-minute treatment of actual textile wastewater, the combined application of HC and O\u003csub\u003e3\u003c/sub\u003e demonstrated better performance compared to individual treatments. This combined approach achieved removal rates of 36% for COD, 23% for TOC, 71% for UV254, and 90% for color.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eJihong Wang et al, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2020\u003c/span\u003e (Wang et al., \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2020\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHydrodynamic Cavitation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWaste Activated Sludge\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSCOD Increased up to 155.8%, sTOC increase from 292.5\u0026thinsp;\u0026plusmn;\u0026thinsp;34.6 mg/L up to 345\u0026thinsp;\u0026plusmn;\u0026thinsp;11.3 mg/L\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eS. Repinc et al, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2021\u003c/span\u003e (Repinc et al., \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2021\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHC, HC\u0026thinsp;+\u0026thinsp;Oxygen, HC\u0026thinsp;+\u0026thinsp;O\u003csub\u003e3\u003c/sub\u003e, HC\u0026thinsp;+\u0026thinsp;Fenton\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTextile Dyeing Industry Effluent\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRange of TOC reduction for HC alone as 19.06%, HC\u0026thinsp;+\u0026thinsp;Oxygen as 18.10%, HC\u0026thinsp;+\u0026thinsp;H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e as 24.65%, HC\u0026thinsp;+\u0026thinsp;ferrous sulfate as 66.3%, HC\u0026thinsp;+\u0026thinsp;O\u003csub\u003e3\u003c/sub\u003e as 71.76%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eRajoriya, S.et al, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2017\u003c/span\u003e (Rajoriya, Bargole and Saharan, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2017\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHC+ Hydrogel\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ecrystal violet (CV) dye\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe total TOC reduction achieved by the hybrid system was 73.60%. In contrast, the separate effects of HC and hydrogel alone were 19.4% and 26.13%, respectively.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eA.Raj et al. \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2018\u003c/span\u003e (Raj, Bethi and Sonawane, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2018\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHC\u0026thinsp;+\u0026thinsp;Hydrogen Peroxide\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNatural Organic Matter\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe highest removal efficiencies (34%-36%) were achieved in the most acidic pH ranges (2.6-3.0) when the H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e concentration was 15m. Findings indicated a high NOM removal efficiency (about 90%) following decantation at the most acidic pH levels.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eM. Araujo, et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2020\u003c/span\u003e (Araujo et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2020\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHC, HC\u0026thinsp;+\u0026thinsp;H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e, HC\u0026thinsp;+\u0026thinsp;O\u003csub\u003e3\u003c/sub\u003e, HC+H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e+O\u003csub\u003e3\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGreywater\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe optimal H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e dosage of 5 g/h resulted in an 87.5% COD reduction, after which effectiveness diminished. Incorporating O\u003csub\u003e3\u003c/sub\u003e achieved a 57.5% COD reduction, it increased treatment expenses. A combined approach (HC+H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e+O\u003csub\u003e3\u003c/sub\u003e) achieved 76.26% TOC and 98.25% COD reductions within 60 minutes.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eA.Mukherjee, et al.2020(Mukherjee et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2020\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHydrodynamic Cavitation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAerobic Granular Sludge\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe degree of solubilization was 37% for COD and 42% for TOC.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eM. Zielinski (Zieliński et al., \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2024\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFenton\u0026thinsp;+\u0026thinsp;Activated Carbon\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eManufacture of acrylic resins with methyl methacrylate (MMA)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe maximum adsorption capacity obtained was qm\u0026thinsp;=\u0026thinsp;1.15 g/g for TOC and 11.65 g/g for COD at optimum conditions. The removal efficiencies of the Fenton adsorption treatment were 96% of color, 58% of TOC, and 60% COD.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAlmaz\u0026aacute;n-S\u0026aacute;nchez, et al. 2014 (Almaz\u0026aacute;n-S\u0026aacute;nchez et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMulti-Walled Carbon Nanotubes (MWCNTs) with central composite design (CCD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eProduced Water\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe CCD in the response surface methodology predicted 260 mg/g adsorption capacity of FMWCNTs in the removal of TOC at the optimum condition of 49.70 min contact time, 34.81 C solution temperature, and 0.02 g adsorbent dosage.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAdewoye, et al, 2024 (Adewoye et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2021\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Conclusions","content":"\u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe research based on the industrial trial and laboratory-scale experimental work aims to investigate the synergy of the intensive additional aerobic degradation of hydrodynamic cavitation (HC) with the adsorption phenomenon Based on these results, the following key findings can be concluded:\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eHC treatment rapidly increased DO levels from 4.5 to 8 mg/L from the beginning until the 8th minute of the treatment period, this increase is likely due to microbubble generation and hydroxyl radical formation.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eThe increased DO concentration appeared to facilitate aerobic degradation, as evidenced by initial BOD5 and TOC values declined. However, the subsequent increase in BOD\u003csub\u003e5\u003c/sub\u003e, even as DO remained high, suggests that HC effectively disrupts microbial cell walls and breaks down pollutant macromolecules, releasing more organic matter into the solution.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eTemperature continuously increased during treatment, likely due to aerobic degradation and physical friction, while DO increased and then stabilized. Even though DO concentration decreased slightly after reaching the highest value, it remained at 7\u0026ndash;8 mg/L throughout the treatment, indicating that HC treatment can create sustained aerobic conditions that are advantageous for biological treatment.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eThe addition of adsorbents, particularly Dudar brown coal, significantly enhanced TOC removal efficiency when combined with HC. Dudar brown coal showed better performance compared to zeolite in facilitating organic matter dissolution and aerobic degradation.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe findings suggest that the combination of hydrodynamic cavitation (HC) with adsorbent addition enhances dissolved oxygen (DO) levels and promotes organic matter degradation. While the disruption of microbial cell walls has been associated with increased soluble chemical oxygen demand (SCOD), further investigation is required to confirm the specific phenomenon. Moreover, Dudar brown coal showed excellent performance as an adsorbent compared to natural zeolite in facilitating the degradation of organic matter.\u003c/p\u003e \u003cp\u003eFurther investigation is needed to reveal more about the complex phenomena taking place in this complex system by investigating molecular-scale interactions. Techniques such as scanning electron microscopy (SEM) should employed to analyze structural changes and surface interactions of the pollutant during hydrodynamic cavitation and adsorbent addition treatment. Additionally, the correlation between different adsorbent particle sizes and removal efficiency must be examined to optimize the process for enhanced pollutant removal, and the economic feasibility and environmental impacts of this treatment method should be assessed in comparison to conventional wastewater treatment processes.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent 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\u003eData Availability and Materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll the data included in the article\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict-of-Interest Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis article is a part of the research \u0026ldquo;Development of bio raw materials product range with a special regard to the local technology \u0026ndash; research on the possibility of utilization by technological optimization\u0026rdquo; GINOP-2.2.1-15-2017-00069 R\u0026amp;D PROJECT with the consortium of Transdanubian Regional Water Works (PLC) and the Institute of Raw Materials Preparation and Environmental Processing, University of Miskolc (project scientific leader: Dr. Ljudmilla Bok\u0026aacute;nyi PhD, CSc).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contribution\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eS.A.J\u003c/strong\u003e (PhD student) analyzed TOC values, received the other data, wrote, and revised the manuscript. \u0026nbsp;\u003cstrong\u003eL.B\u003c/strong\u003e (Honorary Professor) project leader, supervisor, provided the data, checked, led the work on data evaluation, drawing the conclusions, and wrote the article.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAdewoye TL et al (2021) Optimization of the adsorption of total organic carbon from produced water using functionalized multi-walled carbon nanotubes, \u003cem\u003eHeliyon\u003c/em\u003e, 7(1), p. e05866. 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Available at: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/en17020335\u003c/span\u003e\u003cspan address=\"10.3390/en17020335\" 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":true,"hideJournal":true,"highlight":"","institution":"University of Miskolc","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":"Sedimented Wastewater, Hydrodynamic Cavitation, Adsorption, Dissolved Oxygen","lastPublishedDoi":"10.21203/rs.3.rs-8870076/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8870076/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMunicipal wastewater treatment plants in developing countries frequently experience ineffective performance due to inadequate treatment facilities. This leads to significant environmental pollution from untreated or partially treated wastewater discharge. This study addresses this challenge by devoted to a novel method for pre-treatment sedimented wastewater by combining hydrodynamic cavitation with Dudar brown coal or zeolite as adsorbents. The rationale for combining HC and adsorption lies in their potential synergistic effect: HC promotes the disintegration of particulate matter and cell lysis, increasing the solubilization of organic compounds and improving oxygen transfer, while adsorption facilitates the removal of slowly biodegradable and soluble organic substances. Together, these mechanisms can improve overall biodegradability and organic load reduction. This study aimed to enhance the efficiency of aerobic biological degradation by increasing the dissolved oxygen concentration in municipal wastewater treatment after primary sedimentation. The change in dissolved oxygen (DO) concentration during hydrodynamic cavitation and its relationship with other parameters, such as temperature, soluble chemical oxygen demand (SCOD), total organic carbon (TOC), and biological oxygen demand (BOD\u003csub\u003e5\u003c/sub\u003e), were measured and analyzed. Experiments were conducted using a hydrodynamic cavitation setup with a 1.86 m³ open storage tank, with or without 0.5% adsorbents dosage, operating for 24 minutes, at a temperature 23\u003csup\u003eo\u003c/sup\u003eC with samples taken at 0, 4, 8, 16, and 24-minute intervals. The results showed that the DO concentration due to cavitation increased in the initial retention time from 4.5 mg/L to 8 mg/L and then decreased at the 4\u003csup\u003eth\u003c/sup\u003e minute, indicating aerobic degradation was taking place. Between 8-16\u003csup\u003eth\u003c/sup\u003e minutes of treatment, BOD\u003csub\u003e5\u003c/sub\u003e increased because of the dissolution of organic substances. Finally, at the end of the treatment, BOD\u003csub\u003e5\u003c/sub\u003e declined, while DO stagnated between 7.02–7.86 mg/L demonstrating secondary aerobic degradation. The TOC removal efficiency data showed that hydrodynamic cavitation with Dudar brown coal addition reached the highest TOC removal efficiency of 74.16 %.\u003c/p\u003e","manuscriptTitle":"Dissolved Oxygen Analysis in Hydrodynamic Cavitation Pre-treatment for Enhanced Biological Decomposition of Sedimented Municipal Wastewater","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-16 03:33:51","doi":"10.21203/rs.3.rs-8870076/v1","editorialEvents":[{"type":"communityComments","content":1}],"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":"ca9ccc56-10fe-49a2-a370-fbec0c01bd6b","owner":[],"postedDate":"February 16th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":62867632,"name":"Environmental Engineering"}],"tags":[],"updatedAt":"2026-02-16T03:33:51+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-16 03:33:51","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8870076","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8870076","identity":"rs-8870076","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}