Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering最新文献

{"title":"Bioadsorptive removal of pollutants and emerging metallic pollutants from surface water using sustainable plant-based materials.","authors":"Hongnoor Nagaruju Raghavendra, Niranjan, Hemmanahalli Suresh Raghavendra Prajwal, Thyluru Puttaswamy Sanjeev, Arunkumar Yadav","doi":"10.1080/10934529.2026.2637331","DOIUrl":"10.1080/10934529.2026.2637331","url":null,"abstract":"<p><p>This study investigates the efficacy of <i>Moringa oleifera</i> and onion seed powders as sustainable, plant-based coagulants for treating polluted surface water collected from Mallathahalli and Somanahalli Lakes in Karnataka, India. Surface water samples were collected during the post-monsoon season (October-November 2024), and a total of 36 grab samples (18 from each lake) were obtained following IS 3025 guidelines to ensure representative sampling and data reliability. Key physicochemical parameters such as turbidity, color, pH, conductivity, and chemical oxygen demand (COD) and metallic pollutants were analyzed before and after treatment. Based on pH, dosage, and contact time, optimal operational conditions for coagulation flocculation were determined using Central Composite Design (CCD) and Response Surface Methodology (RSM). The optimized dosage-time combination (5-6% dosage and 25-45 min contact time) yielded removal efficiencies within the target range of 50-70% for multiple parameters. Results indicated that both <i>M. oleifera</i> and onion seed powder significantly reduced turbidity and color, with onion powder showing superior removal efficiencies for heavy metals. Specifically, onion seed achieved up to 95% Cu and 84% Zn removal, outperforming <i>M. oleifera</i> in most cases. Mechanistic analysis revealed that metal removal was facilitated by adsorption, chelation, and ion exchange interactions involving cationic proteins, flavonoids, and organosulfur compounds present in the coagulants. Variations in removal performance between the two lakes were attributed to differences in initial water chemistry, pH, ionic background, and natural organic matter (NOM). The findings support the application of <i>M. oleifera</i> and onion seed powder as eco-friendly alternatives to chemical coagulants for rural and urban water purification, especially in regions facing water quality challenges and heavy metal contamination. This research offers a scalable and sustainable approach to improving water quality using low-cost, biodegradable materials.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"209-228"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147389744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multifunctional treatment of emerging estrogenic micropollutants: a review of biological, chemical, and physicochemical pathways.","authors":"Talha Munir, Zaima Afzal","doi":"10.1080/10934529.2026.2637348","DOIUrl":"10.1080/10934529.2026.2637348","url":null,"abstract":"<p><p>The widespread presence of micropollutants in aquatic systems has emerged as a serious concern for aquatic organisms, plants, and humans. Among them, endocrine-disrupting chemicals such as estrone, estradiol, estriol, and ethinylestradiol are predominantly introduced into water bodies <i>via</i> effluents from pharmaceutical, industrial, agricultural, and domestic sources, collectively contributing to total estrogenic activity in affected waters. Although numerous advanced water treatment strategies have been developed in the past, current methodologies often exhibit limited efficacy in complete removal at trace concentrations. In this review, we critically examined the current strategies focused on chemical reactivity, catalysis, redox mechanisms, and physical separations for the removal of estrogenic micropollutants. Recently, the research has been shifted toward hybrid and natural systems, like High-Rate Algal Ponds and Constructed Wetlands that operate <i>via</i> biological and physicochemical pathways. Molecularly Imprinted Polymers offer molecular-level recognition of estrogens, enabling selective sorption based on template-analyte interactions. On the other hand, oxidative degradation methods like Ozonation, Fenton processes, and Advanced Oxidation Processes provide high degradation efficiencies, but raise concerns due to incomplete mineralization and generation of toxic intermediates. The comprehensive study of these comparative methodologies to mitigate emerging estrogenic pollutants will be a step toward building sustainable, effective, and economic wastewater treatment plants to ensure water safety.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"272-290"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147443908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An eco-friendly, plant-mediated synthesis of antibacterial magnesium oxide nanoparticles using <i>Vernonia amygdalina</i> (bitter leaf).","authors":"Tariku Kefyalew Tero, Sioma Debela, Workiye Getnet Abera, Dereje Ayele Gebreyes","doi":"10.1080/10934529.2026.2670142","DOIUrl":"10.1080/10934529.2026.2670142","url":null,"abstract":"<p><p>Green synthesis of metal oxide nanoparticles offers a promising, eco-friendly, and cost-effective solution. This study reports the first-time utilization of an aqueous leaf extract of <i>Vernonia amygdalina</i> as a bio-reducing and stabilizing agent for the synthesis of magnesium oxide nanoparticles (MgO-NPs). The influence of precursor concentration (0.1 M, 0.2 M, and 0.4 M magnesium nitrate hexahydrate) on the nanoparticle characteristics was investigated. The synthesized MgO-NPs were systematically characterized using Fourier transform infrared (FTIR) spectroscopy, ultraviolet-visible (UV-Vis) spectrophotometry, and X-ray diffraction (XRD). FTIR confirmed the role of plant-derived functional groups in the capping process, while UV-Vis spectrophotometry revealed that a higher precursor concentration resulted in a smaller optical band gap. XRD analysis verified the face-centered cubic crystalline structure of the nanoparticles, with a calculated average crystallite size of 11.94 nm, and showed that purity improved with increasing precursor concentration. The antibacterial efficacy, assessed by the disk diffusion method, demonstrated that the MgO-NPs exhibited significant, dose-dependent growth inhibition against both gram-negative <i>Escherichia coli</i> and gram-positive <i>Staphylococcus aureus</i>. This work confirms that <i>V. amygdalina</i> extract is an effective green agent for synthesizing crystalline MgO-NPs with potent antibacterial activity, positioning them as promising alternatives to conventional antibiotics.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"619-634"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147972966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on formulation optimization of surfactant-nanoparticle composite foam dust suppression.","authors":"Ludan Zhang, Hongbao Chai, Pengfei Wang, Yun Peng, Yongjun Li, Haitao Liu","doi":"10.1080/10934529.2026.2650597","DOIUrl":"10.1080/10934529.2026.2650597","url":null,"abstract":"<p><p>To address the insufficient dust control efficiency and poor adaptability of traditional dust suppression methods in coal mining, this study proposes a novel foam dust removal system based on \"surfactant mixture + nanoparticle strengthening.\" First, anionic surfactant SDS and nonionic surfactant AEO-9 were chosen as the main blowing agents, and APG as the wetting agent. Second, orthogonal test and weight method analyses optimized the formulation, yielding the optimal blend: 0.5% SDS + 0.5% AEO-9 + 0.8% APG. The effect of nano-SiO₂ concentration on foam stability is then studied. The initial foam volume was 500 mL, the half-life was 1,740 s, and the coal settling time was 4.45 s. Adding 10 nm SiO₂ nanoparticles at 0.4 g L^-1 increased the foam half-life by 37.9% to 2,400 s, greatly improving long-term dust suppression. This optimized system works with existing mine foam equipment and offers low raw material costs and strong adaptability for dust control in underground coal mining, such as coal cutting and tunneling.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"372-381"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147623253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of phthalate compounds in wet wipes using LC-MS/MS: risk assessment and LC-QTOF/MS findings.","authors":"Cagatay Oltulu, Saffet Çelik, Mustafa Dasman, Melisa Irmak Acar","doi":"10.1080/10934529.2026.2627814","DOIUrl":"10.1080/10934529.2026.2627814","url":null,"abstract":"<p><p>Phthalates, widely used as plasticizers, pose significant health risks due to their endocrine-disrupting properties. This study aimed to determine the concentrations of 11 phthalate derivatives, including diethyl phthalate (DEP), bis(2-ethylhexyl) phthalate (DEHP), di-<i>n</i>-octyl phthalate, and dimethyl phthalate, in wet wipe samples using LC-MS/MS. A total of 15 wet wipe samples were randomly selected from supermarkets and restaurants. DEP was detected in all samples, with the highest concentration observed in one sample, while five samples contained additional phthalate derivatives. A risk assessment was conducted to evaluate non-carcinogenic and carcinogenic risks associated with dermal exposure to phthalates. The Margin of Safety values for non-carcinogenic effects were within acceptable limits, and the lifetime cancer risk for DEHP remained below the accepted safety threshold. LC-QTOF/MS analysis revealed additional undeclared compounds, including potential allergens and irritants, raising concerns about product safety. However, despite these risk-based findings, the detection of DEHP and DBP represents regulatory noncompliance, as these substances are explicitly prohibited in cosmetic products under European Union and Turkish regulations. Packaging assessment showed that six out of fifteen samples failed to meet national labeling requirements. Overall, the findings emphasize the need for stricter regulatory enforcement and transparent labeling to ensure consumer safety.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"69-77"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146207235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing wastewater treatment for industrial sludge remediation using nanomaterials.","authors":"A Uma, S Senthamil Kumar","doi":"10.1080/10934529.2026.2682092","DOIUrl":"10.1080/10934529.2026.2682092","url":null,"abstract":"<p><p>Industrial wastewater remediation remains a critical challenge due to the complex presence of dyes, heavy metals, and toxic surfactants. This study proposes an advanced nano-enabled treatment framework integrated with a secure data collection mechanism to enhance remediation efficiency and environmental transparency. Utilizing TiO₂, ZnO, Graphene oxide (GO), and carbon nanotubes (CNTs), the research evaluates pollutant degradation across varying concentrations and contact times. Experimental results demonstrate that Zinc Oxide (ZnO) achieves a 96.2% removal efficiency within 30 min, while Fe₃O₄ nanoparticles provide rapid action with 94.7% removal in just 20 min. Notably, magnetic carbon composites reached a peak efficiency of 98.3%. Beyond chemical efficacy, the study incorporates the WSN-DS dataset and cryptographic hashing to forward treatment parameters to a blockchain network, ensuring immutable data integrity. Findings reveal that GO led in versatile pollutant removal, achieving 92% dye removal and 80% COD reduction, while successfully stabilizing pH levels from highly acidic (3.8) to neutral (6.9). Compared to conventional methods (60% efficiency), this approach satisfies USEPA standards and ensures compliance with BOD and TSS requirements. This synergistic integration of nanotechnology and blockchain offers a scalable, secure, and highly efficient solution for sustainable industrial sludge management.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"800-813"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148211478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulating the impacts of ocean deoxygenation on coral reef resilience using adaptive ecosystem modeling.","authors":"Kalaivani T, Baranidharan T, Kavitha M S, Sumathi T","doi":"10.1080/10934529.2026.2664333","DOIUrl":"10.1080/10934529.2026.2664333","url":null,"abstract":"<p><p>Adaptive ecosystem modeling provides a proactive approach to mitigating ocean deoxygenation and enhancing coral reef resilience. This study proposes an integrative framework that combines machine-learned dissolved oxygen (DO) reconstructions with a multispecies reef ecosystem model, augmented by Bayesian uncertainty quantification to identify intervention strategies that maximize ecological recovery. By explicitly linking oxygen dynamics with biological feedbacks and management actions, the framework addresses critical gaps in current hypoxia mitigation research. The approach is applied to the central Great Barrier Reef using long-term <i>in situ</i> measurements and satellite observations for model calibration. Simulation results indicate that targeted aeration, watershed nutrient reduction, and microbiome manipulation can reduce cumulative hypoxic stress by up to 43% over two decades, while increasing live coral cover by 28% relative to baseline projections. Sensitivity analyses reveal that model outcomes are particularly influenced by microbial acclimation rates and seasonal DO minima, highlighting the importance of fine-scale biogeochemical monitoring. Overall, the findings demonstrate the value of an adaptive, data-driven decision-support framework that integrates ecological processes, high-resolution environmental data, and management interventions, offering scalable guidance for hypoxia resilience planning in threatened coral reef systems.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"503-517"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147963748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-assisted predictive monitoring of process control parameters in a novel sequencing batch biofilm reactor for high-strength sewage treatment.","authors":"Sowndarya S, Somasundaram R","doi":"10.1080/10934529.2026.2682091","DOIUrl":"10.1080/10934529.2026.2682091","url":null,"abstract":"<p><p>This study presents a novel three-zone fibers-based sequencing batch biofilm reactor designed to achieve simultaneous nitrification, denitrification, and phosphorus removal for the treatment of high-strength sewage. Online process control sensors continuously monitored ORP, pH, and DO to provide real-time insight into biological phase transitions within the reactor. A sliding window-based linear regression model was developed and applied as an AI-assisted predictive monitoring framework, enabling accurate forecasting of process control parameters. The SBBR consistently achieved high removal efficiencies for organics and nutrients, producing effluent quality of BOD <3 mg/L, COD <35 mg/L, TN <5 mg/L, and TP ≈1 mg/L, meeting stringent regulatory standards. The AI predictive model demonstrated strong agreement with measured data for all three parameters (pH: R² = 0.982, RMSE = 0.042; ORP: R² = 0.996, RMSE = 7.951; DO: R² = 0.918, RMSE = 0.173), confirming its reliability as a process monitoring tool for identifying biological phase endpoints in real-time. These findings establish the integration of AI-based predictive monitoring with advanced biofilm reactor technology as a practically viable and scientifically sound for high-strength sewage treatment.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"682-691"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148138376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-objective control strategy with accurate effluent concentration prediction in wastewater treatment plants.","authors":"Reshma K V, A Vimala Juliet, D Anto Sahaya Dhas","doi":"10.1080/10934529.2026.2617025","DOIUrl":"10.1080/10934529.2026.2617025","url":null,"abstract":"<p><p>Efficient and sustainable operation of wastewater treatment plants (WWTPs) is inherently challenging due to strong nonlinear dynamics, complex multivariable interactions, and highly fluctuating influent conditions. To address these challenges, this study proposes a novel probabilistic optimization using Gaussian processes (POGP) framework that integrates uncertainty-aware modeling with intelligent real-time control for WWTP performance optimization. The framework employs Gaussian process regression (GPR) to capture complex nonlinear relationships between influent characteristics and effluent quality while explicitly quantifying predictive uncertainty to support robust decision-making. Bayesian optimization (BO) is utilized to automatically tune GPR hyperparameters, improving predictive accuracy and computational efficiency. In parallel, an NSGA-II-enhanced vector parameterization (NVP) strategy is developed to adaptively optimize PID controller parameters by balancing pollutant removal efficiency and process response time in a multi-objective setting. The proposed approach is validated on the widely used Benchmark Simulation Model No. 1 (BSM1) dataset. Experimental results demonstrate excellent predictive performance (root mean squared error [RMSE] < 0.008 and <i>R</i>² > 0.99) and significant control improvements, achieving more than 50% reduction in overshoot and settling time compared to conventional PID-based controllers. These results highlight the strong potential of the POGP framework for robust, efficient, and sustainable real-world WWTP operation.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"355-371"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147592561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergistic effects between different advanced oxidative treatments for degradation of Rhodamine B.","authors":"Letícia Reggiane de Carvalho Costa, Júlia Toffoli de Oliveira, Liliana Amaral Féris","doi":"10.1080/10934529.2026.2656848","DOIUrl":"10.1080/10934529.2026.2656848","url":null,"abstract":"<p><p>Advanced oxidative processes (AOPs) have been extensively investigated for the removal of a wide range of organic contaminants, including dyes, pharmaceuticals, and other industrial pollutants. However, systematic evaluations of synergistic effects among different AOP configurations remain limited. This study investigated the synergistic interactions between AOPs for the degradation and mineralization of Rhodamine B, a dye widely used as a model compound for industrial effluents. Solutions were treated using photolysis (UV), hydrogen peroxide (H₂O₂), UV/H₂O₂, Fenton (Fe²⁺/H₂O₂), and photo-Fenton (Fe²⁺/H₂O₂/UV) processes. H₂O₂ concentrations ranged from 1.6 to 43.2 mmol/L when applied alone and from 0.53 to 4.8 mmol/L in Fenton and photo-Fenton systems, using Fe²⁺/H₂O₂ ratios of 1:5 and 1:10. The results revealed that the UV/H₂O₂ achieved 69% degradation within 2 h at 14.4 mmol/L of H₂O₂, outperforming the individual treatments. The photo-Fenton process exhibited superior efficiency, achieving complete degradation in half the time required by the Fenton process at 0.5 mmol/L of H₂O₂ and an Fe²⁺/H₂O₂ ratio of 1:5. Furthermore, mineralization increased by 20% when UV was incorporated. This study demonstrates that integrating AOPs enhances the performance, supporting the optimization of the treatments for dye-containing wastewaters and reinforcing the importance of synergistic strategies for environmental remediation.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"421-430"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147654388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}