ACS ES&T water最新文献_第6页

AI and IoT: Supported Sixth Generation Sensing for Water Quality Assessment to Empower Sustainable Ecosystems

IF 4.8

ACS ES&T water Pub Date : 2025-01-28 DOI: 10.1021/acsestwater.4c0036010.1021/acsestwater.4c00360

Suparna Das, Kamil Reza Khondakar*, Hirak Mazumdar*, Ajeet Kaushik* and Yogendra Kumar Mishra,

{"title":"AI and IoT: Supported Sixth Generation Sensing for Water Quality Assessment to Empower Sustainable Ecosystems","authors":"Suparna Das, Kamil Reza Khondakar*, Hirak Mazumdar*, Ajeet Kaushik* and Yogendra Kumar Mishra, ","doi":"10.1021/acsestwater.4c0036010.1021/acsestwater.4c00360","DOIUrl":"https://doi.org/10.1021/acsestwater.4c00360https://doi.org/10.1021/acsestwater.4c00360","url":null,"abstract":"The integration of artificial intelligence (AI) and the Internet-of-Things (IoT) heralds the advent of sixth-generation sensing technologies, offering transformative potential for water quality assessment and the empowerment of sustainable ecosystems. This approach offers efficient monitoring through predictive analysis, risk assessment, and timely decision-making. However, this approach requires diverse expertise and requires connecting multiple dots. This paper explores the convergence of AI and IoT in developing advanced sensor networks capable of real-time monitoring and data analysis, providing comprehensive insights into water quality. AI algorithms can predict pollution events, optimize resource management, and enhance decision-making processes. IoT-enabled sensors provide extensive coverage and connectivity, facilitating continuous monitoring and immediate reporting of water conditions. This synergy ensures accurate detection of contaminants and supports proactive environmental management, aligning with global sustainability goals. Implementing AI and IoT in water quality assessment is crucial for maintaining healthy aquatic ecosystems, fostering biodiversity, and ensuring safe water resources for communities. The paper highlights the effectiveness and scalability of AI and IoT-supported sensing technologies, underscoring their critical role in a sustainable future.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 2","pages":"490–510 490–510"},"PeriodicalIF":4.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of Legionella pneumophila in Rural Homes Supplied by Private Well Water

IF 4.8

ACS ES&T water Pub Date : 2025-01-28 DOI: 10.1021/acsestwater.4c0112710.1021/acsestwater.4c01127

Gemma G. Clark*, Guorui Zhang, Shenyi Zhao and Thanh H. Nguyen,

{"title":"Assessment of Legionella pneumophila in Rural Homes Supplied by Private Well Water","authors":"Gemma G. Clark*, Guorui Zhang, Shenyi Zhao and Thanh H. Nguyen, ","doi":"10.1021/acsestwater.4c0112710.1021/acsestwater.4c01127","DOIUrl":"https://doi.org/10.1021/acsestwater.4c01127https://doi.org/10.1021/acsestwater.4c01127","url":null,"abstract":"Legionella pneumophila is a major cause of waterborne disease in the United States, but little is known about its prevalence in rural homes supplied by domestic well water. With a citizen science campaign involving 57 such homes in Illinois, conclusive results from 39 homes showed intact L. pneumophila in 31% and 28% of warm and hot water samples, respectively. We conducted a quantitative microbial risk assessment (QMRA) for L. pneumophila infection risk using L. pneumophila data from three studies (ours, another on rural homes in North Carolina, and another on a public water supply). The risk of illness was non-negligible in all cases and sometimes exceeded the 10–4 target annual risk. The L. pneumophila concentration and exposure time had the greatest impact on the risk of illness due to a one-time exposure. Aerosol concentration had the greatest impact on the annual risk of illness. A maximum L. pneumophila concentration of 6 × 10–3 copies/mL was needed to achieve the 10–4 target. This study showed that L. pneumophila risk could be present in homes supplied by private wells, like those studied here, but can be mitigated by reducing L. pneumophila concentration, reducing exposure time, and careful consideration of fixtures that produce high concentrations of respirable aerosols.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 2","pages":"1041–1054 1041–1054"},"PeriodicalIF":4.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying Footprints of Perfluorinated Compounds in China: From Production to Discharge into the Seas

IF 4.8

ACS ES&T water Pub Date : 2025-01-28 DOI: 10.1021/acsestwater.4c0093310.1021/acsestwater.4c00933

Yaya Cai, Qianqian Zhang* and Guangguo Ying,

{"title":"Quantifying Footprints of Perfluorinated Compounds in China: From Production to Discharge into the Seas","authors":"Yaya Cai, Qianqian Zhang* and Guangguo Ying, ","doi":"10.1021/acsestwater.4c0093310.1021/acsestwater.4c00933","DOIUrl":"https://doi.org/10.1021/acsestwater.4c00933https://doi.org/10.1021/acsestwater.4c00933","url":null,"abstract":"Understanding the emission sources and environmental footprints of perfluorinated compounds (PFASs) is essential for tracing their pervasive presence in the environment. This study aims to comprehensively assess the emissions and footprints of 10 commonly reported PFASs in China from production to their final release into the sea. In 2022, China produced 120 t target PFASs, with 104 t utilized in secondary industrial production. One-third of those applied PFASs emit into the environment primarily from industrial processes. Domestic use resulted in the emission of 4.21 t of PFASs, half of which was sourced from wastewater treatment plants. River water received 57.6% of the total PFAS emissions, with 11.4% eventually flowing into China’s surrounding seas. During 2015–2022, China experienced a cumulative PFAS emission of 467 t, with 40.3 t emitted into neighboring seas, predominantly into the Bohai and East China Seas. The spatial distributions of PFAS emissions and pollution levels were consistent with China’s topographical three-tiered stepped lines. Economic and topographical factors strongly influenced the footprint processes and transport patterns of PFASs into the ocean. This study traces and quantifies the major PFAS pathways from production to discharge into the sea, highlighting the need for targeted interventions to reduce PFAS emissions and protect ecosystems.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 2","pages":"920–933 920–933"},"PeriodicalIF":4.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of Human Activities on the Distribution Patterns and Health Risks of Sb, As, Hg, and Se in a Typical Urban River System of Southern China

IF 4.8

ACS ES&T water Pub Date : 2025-01-28 DOI: 10.1021/acsestwater.4c0102710.1021/acsestwater.4c01027

Chenqi Guo, Hongru Feng, Zechen Yu, Xuezhi Yang*, Tao Zeng, Shuang Song and Haiyan Zhang*,

{"title":"Effects of Human Activities on the Distribution Patterns and Health Risks of Sb, As, Hg, and Se in a Typical Urban River System of Southern China","authors":"Chenqi Guo, Hongru Feng, Zechen Yu, Xuezhi Yang*, Tao Zeng, Shuang Song and Haiyan Zhang*, ","doi":"10.1021/acsestwater.4c0102710.1021/acsestwater.4c01027","DOIUrl":"https://doi.org/10.1021/acsestwater.4c01027https://doi.org/10.1021/acsestwater.4c01027","url":null,"abstract":"The anthropogenic input of heavy metals and metalloids (metal(loid)s) into aquatic environments is a global concern. Here, we investigated the spatial distributions and health risks of antimony (Sb), mercury (Hg), arsenic (As), and selenium (Se) and their associations with socioeconomic variables in the Qiantang River basin. In river water, Sb decreased from the southern tributaries to the northeastern mainstream, peaking at 25.3 μg L–1 near industrial zones, whereas As and Hg displayed a gradual increase in urban areas. Industrial and domestic wastewater contributed 86.5% of the total Sb flow in the river. Correlation analysis revealed that Sb concentrations in river water positively correlated with industrial wastewater emissions, while Hg, As, and Se were associated with variables such as population density. Structural equation models further indicated that industrial wastewater emissions directly affected Sb levels, while population density and energy consumption influenced Se levels. Monte Carlo simulations revealed low health risks (HI < 1, CR < 1 × 10–4), but compared to background areas, residents in urban areas experienced a 69.8% increase in noncarcinogenic risks, while those in industrial areas faced a 277% increase. These findings underscore the link between metal(loid) contamination and socioeconomic factors, providing data for managing metal(loid) contamination in urban river systems.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 3","pages":"1248–1260 1248–1260"},"PeriodicalIF":4.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143608961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning Approach for Predicting Perfluorooctanesulfonate Rejection in Efficient Nanofiltration Treatment and Removal

IF 4.8

ACS ES&T water Pub Date : 2025-01-28 DOI: 10.1021/acsestwater.4c0100310.1021/acsestwater.4c01003

Saurabh Singh*, Gourav Suthar, Akhilendra Bhushan Gupta and Achintya N. Bezbaruah,

{"title":"Machine Learning Approach for Predicting Perfluorooctanesulfonate Rejection in Efficient Nanofiltration Treatment and Removal","authors":"Saurabh Singh*, Gourav Suthar, Akhilendra Bhushan Gupta and Achintya N. Bezbaruah, ","doi":"10.1021/acsestwater.4c0100310.1021/acsestwater.4c01003","DOIUrl":"https://doi.org/10.1021/acsestwater.4c01003https://doi.org/10.1021/acsestwater.4c01003","url":null,"abstract":"Perfluorooctanesulfonic acid (PFOS) is a persistent environmental contaminant posing significant health risks, requiring efficient remediation methods. This study explores the use of advanced nanofiltration techniques, combined with machine learning (ML) optimization, to enhance PFOS removal from water. Key parameters such as membrane type, temperature, PFOS concentration, pH, pressure, and cation presence were analyzed for their influence on PFOS rejection efficiency. Five ML models─multiple linear regression (MLR), lasso regression, ridge regression, random forest (RF), and artificial neural networks (ANN)─were applied to improve predictive accuracy and optimize the filtration process. Data from various studies were analyzed, revealing that PFOS rejection was highly sensitive to trivalent cations and pH changes. The ANN model achieved the highest accuracy (R2 = 0.89) in predicting PFOS rejection, followed by RF, ridge, lasso, and MLR, in that order. The study highlights the importance of optimizing operational conditions to improve nanofiltration efficiency. ML integration provided valuable insights into treatment processes, offering practical solutions for more effective water purification. This study provides novel insights into PFOS rejection mechanisms, focusing on operational parameters and their interactions to optimize nanofiltration. It provides practical guidance for improving water treatment efficiency and protecting public health and the environment.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 3","pages":"1216–1228 1216–1228"},"PeriodicalIF":4.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transformer Networks and Loss with Punishment for Optimized Management of Urban Water Supply System

IF 4.8

ACS ES&T water Pub Date : 2025-01-26 DOI: 10.1021/acsestwater.4c0088110.1021/acsestwater.4c00881

Yu-Qi Wang, Hong-Cheng Wang*, Jia-Ji Chen, Wan-Xin Yin, Jiuling Li, Zhiyu Zhang, He-Wen Li, Mei-Fang Wang and Ai-Jie Wang,

{"title":"Transformer Networks and Loss with Punishment for Optimized Management of Urban Water Supply System","authors":"Yu-Qi Wang, Hong-Cheng Wang*, Jia-Ji Chen, Wan-Xin Yin, Jiuling Li, Zhiyu Zhang, He-Wen Li, Mei-Fang Wang and Ai-Jie Wang, ","doi":"10.1021/acsestwater.4c0088110.1021/acsestwater.4c00881","DOIUrl":"https://doi.org/10.1021/acsestwater.4c00881https://doi.org/10.1021/acsestwater.4c00881","url":null,"abstract":"Accurate water demand forecasting is critical for the efficient operation and management of water supply systems, traditional forecasting models often show limited performance, with errors equally 50%/50% split between underestimation and overestimation. Here we show a model based on transformer (TF) to predict water demand quantity, comparing its performance with statistical models, recurrent neural network (RNN), long short-term memory (LSTM). To tackle the critical issue of underestimating water demand, we design a penalized loss function that constrains the model’s output distribution when predicting anomalies, drawing inspiration from the Chinese saying “killing the chicken to scare the monkey.” The rationale for this penalized loss function is explained through the principles of the transformer network and loss function with punishment (TFP) model and interpretability analysis. If actually deployed, the TFP model would reduce water supply by 8.97%, achieving a mean absolute percentage error of 2.93% and an underestimation probability of just 30.63%. Additionally, we outline a process for applying the penalized loss function to tackle a broader range of environmental challenges, with the goal of addressing more diverse environmental issues in the future.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 2","pages":"800–815 800–815"},"PeriodicalIF":4.8,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Indigenous Ice Nucleation Active Bacteria-Based Strategy Alleviating Greenhouse Gas Emissions from Permafrost Thaw Subsidence

IF 4.8

ACS ES&T water Pub Date : 2025-01-26 DOI: 10.1021/acsestwater.4c0071610.1021/acsestwater.4c00716

Juanjuan Zheng, Liyun Tang*, Peiyong Qiu, Jianguo Zheng, Yongtang Yu, Gaosen Zhang, Long Jin and Hailiang Jia,

{"title":"Indigenous Ice Nucleation Active Bacteria-Based Strategy Alleviating Greenhouse Gas Emissions from Permafrost Thaw Subsidence","authors":"Juanjuan Zheng, Liyun Tang*, Peiyong Qiu, Jianguo Zheng, Yongtang Yu, Gaosen Zhang, Long Jin and Hailiang Jia, ","doi":"10.1021/acsestwater.4c0071610.1021/acsestwater.4c00716","DOIUrl":"https://doi.org/10.1021/acsestwater.4c00716https://doi.org/10.1021/acsestwater.4c00716","url":null,"abstract":"Thaw subsidence resulting from climatic warming and anthropogenic activities doubles the greenhouse gas emissions from permafrost and thus aggravates global warming. The loss of ice content is responsible for releasing previously frozen carbon and nitrogen. Considering that ice nucleation active (INA) bacteria can result in a 27% increase in ice content and 113% increase in the ice cementation strength, a new insight of using indigenous INA bacteria to frost the dissolved organic matter is proposed in this Perspective. Therefore, we analyze the feasibility of using INA bacteria in permafrost and elaborate the strategy of exerting ice nucleation activity of indigenous INA bacteria and the corresponding implementation methods. The details of using an INA bacteria-based strategy to alleviate greenhouse gas emissions from permafrost are then investigated, and the reduction of 30.33% dissolved carbon and nitrogen is found. We end with the future research focuses and challenges of the applications of the INA bacteria-based strategy. Indigenous INA bacteria are expected to be sustainable and environmentally friendly biomaterials to deal with thaw subsidence issues and the resulting greenhouse gas emissions and further regulate the future climate change.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 2","pages":"539–547 539–547"},"PeriodicalIF":4.8,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Phototransformation Kinetics and Changes in the Antibacterial Activity of Antimicrobial Agents

IF 4.8

ACS ES&T water Pub Date : 2025-01-24 DOI: 10.1021/acsestwater.4c0092910.1021/acsestwater.4c00929

Tan Meng, Yinxiao Bai, Peizhe Sun, Hao Zhang and Ruochun Zhang*,

{"title":"Phototransformation Kinetics and Changes in the Antibacterial Activity of Antimicrobial Agents","authors":"Tan Meng, Yinxiao Bai, Peizhe Sun, Hao Zhang and Ruochun Zhang*, ","doi":"10.1021/acsestwater.4c0092910.1021/acsestwater.4c00929","DOIUrl":"https://doi.org/10.1021/acsestwater.4c00929https://doi.org/10.1021/acsestwater.4c00929","url":null,"abstract":"Incomplete removal of antibiotics and other antibacterial agents (AAs) in traditional wastewater treatment systems is a potential public health threat that leads to the spread of pollutants and resistance genes in the environment. Some of the common AAs have been shown to be effectively removed by UV254 irradiation. However, whether it is effective under UV-LED and sunlight and whether phototransformed products retain antibacterial activity remain unclear. In this study, the photodegradation of 12 common AAs was investigated under irradiation by a low-pressure mercury lamp, an LED peaked at 275 nm, and a xenon lamp to simulate sunlight. Results show that the rates of ionizable AAs varied significantly under pH 5.4, 7.0, and 8.4, with overall increasing rates at higher pH conditions. The intrinsic photochemical parameters, integrated light absorbance and quantum yield, were strongly affected by the light wavelength, leading to significant difference in degradation rates. However, the rates and photochemical parameters were not directly correlated with their electrochemical properties. The growth inhibition test on Escherichia coli showed that most of the common AAs lose their antibacterial activity after light irradiation, except chlortetracycline. These results suggest that light irradiation of common AAs is effective to mitigate their antibacterial activity.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 2","pages":"913–919 913–919"},"PeriodicalIF":4.8,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid Hydrate-Based Strategy for Petrochemical Effluent Purification and Sustainable Water Management

IF 4.8

ACS ES&T water Pub Date : 2025-01-23 DOI: 10.1021/acsestwater.4c0107610.1021/acsestwater.4c01076

Subhash Kumar Sharma, Nandakumar Thenmani and Rajnish Kumar*,

{"title":"Hybrid Hydrate-Based Strategy for Petrochemical Effluent Purification and Sustainable Water Management","authors":"Subhash Kumar Sharma, Nandakumar Thenmani and Rajnish Kumar*, ","doi":"10.1021/acsestwater.4c0107610.1021/acsestwater.4c01076","DOIUrl":"https://doi.org/10.1021/acsestwater.4c01076https://doi.org/10.1021/acsestwater.4c01076","url":null,"abstract":"This study highlights the need for sustainable purification of petrochemical effluents to enable water recycling, economic benefits, and ecosystem preservation. The petrochemical effluent, characterized by high concentrations of pollutants (e.g., total dissolved solids (TDS) of 155,360 mg/L, chemical oxygen demand (COD) of 4826 mg/L, and pH 14), poses significant treatment challenges due to its complex composition. To address this, we introduce HyPurif, a novel hydrate-based purification method that employs propane (C3H8) and 1,1,1,2-tetrafluoroethane (HFC134a) as hydrate formers along with graphene oxide-doped silica aerogel. The mechanism involves the selective encapsulation of water molecules into hydrate structures, effectively excluding contaminants from the solid phase. Comprehensive analyses, including phase equilibrium studies, spectroscopy, and atomic absorption spectrometry, confirm the efficient separation of pollutants (≥95% removal) during hydrate formation with a water-to-hydrate conversion of 42.4% and an overall water recovery exceeding 60%. Postpurification using the aerogel further reduces contaminant levels in recovered water to a TDS of 5427 mg/L, a COD of 141 mg/L, and a residual chlorine of 0.3 mg/L. The process is energy-efficient, requiring just 0.074 kWh/kg of the effluent purified. This study not only demonstrates the high removal efficiency and water recovery of HyPurif but also provides mechanistic insights into hydrate-based purification, advancing sustainable industrial wastewater purification technologies.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 2","pages":"1015–1028 1015–1028"},"PeriodicalIF":4.8,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast Debromination of Decabromodiphenyl Ether by Low-Cost Ball Milled Pyrite: Kinetics, Mechanisms, and Pathways

IF 4.8

ACS ES&T water Pub Date : 2025-01-23 DOI: 10.1021/acsestwater.4c0109310.1021/acsestwater.4c01093

Kuang Wang, Guan Wang, Bin Zheng, Haowei Zeng and Zhanqiang Fang*,

{"title":"Fast Debromination of Decabromodiphenyl Ether by Low-Cost Ball Milled Pyrite: Kinetics, Mechanisms, and Pathways","authors":"Kuang Wang, Guan Wang, Bin Zheng, Haowei Zeng and Zhanqiang Fang*, ","doi":"10.1021/acsestwater.4c0109310.1021/acsestwater.4c01093","DOIUrl":"https://doi.org/10.1021/acsestwater.4c01093https://doi.org/10.1021/acsestwater.4c01093","url":null,"abstract":"The large-scale remediation of polybrominated diphenyl ethers (PBDEs) is often limited by the high manufacturing costs of conventional reductants. We developed a cost-effective method to synthesize submicron pyrite (FeS2bm) through simple ball milling of inexpensive pyrite. The mass-normalized removal rate constant of FeS2bm for BDE-209 reached 1.6 mg min–1 g–1, surpassing previously reported reductants. Ball milling reduced the particle size to 13% of pristine pyrite and increased the specific surface area by 17-fold while removing the oxide layer without altering the crystal structure. The electron transfer capacity of pyrite improved, and kinetic studies showed a positive correlation between the rate constants for BDE-209 removal and milling time, with strong correlations (R2 > 0.97) observed among rate constant, pH, debromination rate, and iron-dissolution rate. Mechanistic investigations indicated that degradation occurred primarily via adsorbed Fe(II) and dissolved Fe2+. Analysis of degradation products indicated a maximum debromination depth of hexa-BDEs, with predominant products distributed in the hepta-BDE to octa-BDE range, possibly exhibiting higher toxicity. Comparative cost analysis showed that the manufacturing cost of FeS2bm is only 1/303 of that of nanoscale zerovalent iron (nZVI). High removal efficiencies of BDE-209 by FeS2bm were achieved in groundwater matrices. Consequently, FeS2bm emerges as a promising reductant for the cost-effective degradation of BDE-209, showcasing significant potential for practical applications.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"5 2","pages":"1029–1040 1029–1040"},"PeriodicalIF":4.8,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0