Environmental Science & Technology Letters Environ.最新文献_第10页

Blue Carbon and Artificial Intelligence: Sustainable Complementarity 蓝碳与人工智能：可持续互补性

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-26 DOI: 10.1021/acs.estlett.5c00521

Shilong Li, Liang Duan* and Carlos M. Duarte,

引用次数: 0

Development of a Relative Rate Technique to Measure Criegee Intermediate Reactivity 一种测量克里基中间体反应性的相对速率技术的发展

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-24 DOI: 10.1021/acs.estlett.5c00372

Pengcheng Wang, Yue Wang, Jinhe Wang, Abdelwahid Mellouki, Véronique Daële, Yangang Ren* and Max R. McGillen*,

{"title":"Development of a Relative Rate Technique to Measure Criegee Intermediate Reactivity","authors":"Pengcheng Wang, Yue Wang, Jinhe Wang, Abdelwahid Mellouki, Véronique Daële, Yangang Ren* and Max R. McGillen*, ","doi":"10.1021/acs.estlett.5c00372","DOIUrl":"https://doi.org/10.1021/acs.estlett.5c00372","url":null,"abstract":"Criegee intermediates (CIs) play a major role in atmospheric chemistry, contributing to aerosol formation and oxidizing capacity. To assess this contribution, the kinetics of bimolecular reactions of CIs must first be established. However, few techniques are available for this purpose, limiting our understanding of CIs in the atmosphere. Accordingly, we develop a precise, economical, and highly accessible strategy for acquiring kinetic data using a relative rate approach. This method exploits highly symmetrical alkenes that produce a single type of CI through ozonolysis. By suppressing other reactive species (e.g., OH radical) formed in these systems, we probe the reactivity of CIs toward a selection of acids and alcohols, where decays of reactants were tracked using proton-transfer reaction mass spectrometry. In this proof-of-principle paper, we find that this approach can be applied to a broad variety of compounds, allowing us to access reactions with lower volatility species, extending and augmenting the CI kinetic database toward a class of reaction that may be significant for aerosol formation.","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"12 7","pages":"842–847"},"PeriodicalIF":8.8,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144808476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Effects of Air Temperature, Atmospheric Pressure, and Wind Speed on Methane Emissions in Yonghwasil Reservoir, South Korea 气温、大气压和风速对韩国龙华一水库甲烷排放的影响

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-24 DOI: 10.1021/acs.estlett.5c00535

Bo-Kyeong Kim, Hyunki Kim, Hayeon Won, Hyun-Dong Moon, Subin Choi, Hyunhwan Yang, Chang Seok Lee, Hiroki Iwata and Jaeil Cho*,

{"title":"Effects of Air Temperature, Atmospheric Pressure, and Wind Speed on Methane Emissions in Yonghwasil Reservoir, South Korea","authors":"Bo-Kyeong Kim, Hyunki Kim, Hayeon Won, Hyun-Dong Moon, Subin Choi, Hyunhwan Yang, Chang Seok Lee, Hiroki Iwata and Jaeil Cho*, ","doi":"10.1021/acs.estlett.5c00535","DOIUrl":"https://doi.org/10.1021/acs.estlett.5c00535","url":null,"abstract":"According to the IPCC National Greenhouse Gas Inventory, reservoirs are classified as flooded areas and require methane (CH4) emission estimation. CH4 emissions from reservoirs, characterized by ebullition and diffusion, primarily increase with temperature but are suppressed when reservoirs are frozen. However, these emissions are influenced not only by temperature but also by other conditions, making it difficult to understand with a single value of the CH4 emission factor provided by the IPCC. The CH4 emissions from the Yonghwasil Reservoir in South Korea were measured using the eddy covariance method to analyze their behavior under varying meteorological conditions. CH4 emissions were positively correlated with air temperature with negligible emissions observed at air temperatures below 8 °C. Therefore, CH4 emission rates during the summer season are significantly higher than those in winter. From August to October, more than 60% of CH4 was emitted as ebullition. In contrast, from November to January, total CH4 emissions decreased, with a resulting 80% from diffusion. Additionally, atmospheric pressure negatively influenced CH4 emission but was correlated with air temperature. Wind speed had no observable effect on CH4 emissions at low temperatures but contributed to increased emissions under high-temperature conditions.","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"12 7","pages":"813–819"},"PeriodicalIF":8.8,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144808597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Dominant Factor Identification and Predictive Modeling of PM2.5-Bound Sulfate from Chinese Coal-Fired Power Plants 中国燃煤电厂pm2.5结合硫酸盐的主导因子识别与预测模型

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-23 DOI: 10.1021/acs.estlett.5c00307

Xuehan Wang, Ruiqing Huo, Wenli Sun, Xiaohui Bi*, Jianhui Wu, Yufen Zhang and Yinchang Feng,

{"title":"Dominant Factor Identification and Predictive Modeling of PM2.5-Bound Sulfate from Chinese Coal-Fired Power Plants","authors":"Xuehan Wang, Ruiqing Huo, Wenli Sun, Xiaohui Bi*, Jianhui Wu, Yufen Zhang and Yinchang Feng, ","doi":"10.1021/acs.estlett.5c00307","DOIUrl":"https://doi.org/10.1021/acs.estlett.5c00307","url":null,"abstract":"PM2.5-bound sulfate (p-SO42–) from coal-fired power plants (CFPPs) is a crucial component of atmospheric particulate matter, and its formation is comprehensively influenced by coal composition characteristics and air pollution control devices (APCDs). Based on a data set containing 109 measured mass fractions of p-SO42– (p-SO42– fraction) from CFPPs in China, this study develops a Bayesian linear regression model to identify the dominant factors of p-SO42– formation and to quantify the effects. The results indicate that coal’s sulfur content and usage of certain APCDs promote the formation of p-SO42–, including selective catalytic reduction (SCR), wet flue gas desulfurization (WFGD), and semidry desulfurization (SDD), whereas the wet electrostatic precipitator (WESP) and desulfurization efficiency inhibit it. Benchmarking against machine learning approaches demonstrates the performance of the Bayesian model (R2 = 0.72, and RLOO2 = 0.45), which outperformed random forest and XGBoost algorithms in generalization ability, showing its advantages in addressing small data sets. The model predicts an average p-SO42– fraction of 0.144 ± 0.037 g/g across 69 CFPPs in the Beijing–Tianjin–Hebei (BTH) region. This study systematically evaluated the roles of multiple influencing factors on p-SO42– formation and predicted the p-SO42– fractions derived from CFPPs in the BTH region, providing a quantitative decision-making basis for precise sulfate emission control in CFPPs and regional environmental planning.","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"12 7","pages":"835–841"},"PeriodicalIF":8.8,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144808468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Advancing Atmospheric Detection of Weakly Absorbing Reactive Trace Gases Using the FY-3E/HIRAS-II TIR Sounder on a Dawn–Dusk Orbit 在黎明-黄昏轨道上利用FY-3E/HIRAS-II TIR探测仪推进大气弱吸收反应性微量气体探测。

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-23 DOI: 10.1021/acs.estlett.5c00501

Zhenxing Liang, Dasa Gu*, Rui Li, Jian Liu, Chengxing Zhai, Hui Su and Alexis K. H. Lau,

{"title":"Advancing Atmospheric Detection of Weakly Absorbing Reactive Trace Gases Using the FY-3E/HIRAS-II TIR Sounder on a Dawn–Dusk Orbit","authors":"Zhenxing Liang, Dasa Gu*, Rui Li, Jian Liu, Chengxing Zhai, Hui Su and Alexis K. H. Lau, ","doi":"10.1021/acs.estlett.5c00501","DOIUrl":"10.1021/acs.estlett.5c00501","url":null,"abstract":"Weakly absorbing reactive trace gases play important roles in the atmospheric environment and usually have short lifetimes ranging from seconds to days. HIRAS-II, the second hyperspectral infrared atmospheric sounder aboard the world’s first civilian meteorological satellite in dawn–dusk orbit, FengYun-3E (FY-3E), can theoretically detect more than a dozen weakly absorbing reactive trace gases and make important contributions to global trace gas mapping by filling the gap for diurnal variation. This study uses state-of-the-art weak absorber thermal infrared spectral feature quantification and identification methods to detect weak absorbers from FY-3E/HIRAS-II and successfully capture 14 species from 35.4 million FY-3E/HIRAS-II clear-sky measurements in July 2023. We map the reliable global distribution of spectral features from nine routine reactive gases and find that these gases originate from scenes that are usually of special concern, including densely populated areas, vegetation, and biomass burning. This study confirms the capability of FY-3E/HIRAS-II in detecting weak absorbers and serves as a stepping stone for subsequent research in concentration retrieval. The case of the ammonia column over wildfires retrieved using neural network technology initially demonstrates that FY-3E/HIRAS-II can improve our understanding of the diurnal variation of trace gases by complementing measurements at dawn and dusk.","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"12 7","pages":"848–855"},"PeriodicalIF":8.8,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12243120/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144624986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Responding after Hurricane Helene: Rapidly Estimating Impacts to Environmental Health Services in North Carolina 飓风“海伦”过后的反应：快速评估对北卡罗来纳州环境卫生服务的影响。

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-23 DOI: 10.1021/acs.estlett.5c00503

Kelsey J. Pieper*, Edward Beighley, C. Nathan Jones, Kyla Drewry, Reza Jamshidi, Yuyang Li, Larry Michael, Wilson Mize, Jon Fowlkes, Andrew Blethen, Qi R. Wang, Emily Bailey, Michael Kane, Chris Goforth, Evan Kane, Rachael McCaully, Cassidy King, Alisha Webb, Brooke Goggins, Bhavya Duvvuri, Elizabeth Bartuska, Tiffany Tang and Weiyu Li,

{"title":"Responding after Hurricane Helene: Rapidly Estimating Impacts to Environmental Health Services in North Carolina","authors":"Kelsey J. Pieper*, Edward Beighley, C. Nathan Jones, Kyla Drewry, Reza Jamshidi, Yuyang Li, Larry Michael, Wilson Mize, Jon Fowlkes, Andrew Blethen, Qi R. Wang, Emily Bailey, Michael Kane, Chris Goforth, Evan Kane, Rachael McCaully, Cassidy King, Alisha Webb, Brooke Goggins, Bhavya Duvvuri, Elizabeth Bartuska, Tiffany Tang and Weiyu Li, ","doi":"10.1021/acs.estlett.5c00503","DOIUrl":"10.1021/acs.estlett.5c00503","url":null,"abstract":"Hurricane Helene caused catastrophic flooding and infrastructure damage across the mountainous regions of western North Carolina. Responding agencies had to make real-time decisions about emergency response, infrastructure repair, and aid allocation. Here, we describe how our decade-long transdisciplinary research program supported data-driven recovery decisions in the days following a storm through the development of a novel emergency response decision support system (DSS). Integrating publicly available and geospatial data sets, we estimated that 4% of the total land area across the initial 25 disaster declared counties was flooded during Helene. While some areas did not experience a 100-year flood event, others had more severe flooding. We estimated that approximately 19 600 private wells, 34 300 businesses, and 500 fire stations were flooded. This type of real-time information was critical for supporting local health departments (LHDs) and state governments in their requests for emergency relief funding and their planning for emergency needs and assistance. Lessons learned through this effort highlight the importance of codeveloping knowledge and resources and providing actionable data and insights to enhance future disaster response efforts. Overall, our rapidly conceptualized and executed DSS demonstrated how providing actionable intelligence to responding LHDs and state governments can enable more effective distribution of real-time emergency resources.","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"12 7","pages":"820–826"},"PeriodicalIF":8.8,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12243117/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144624987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Water-Soluble Nitrogen-Containing Organic Compounds in Biomass-Combustion-Derived PM2.5 Characterized by FT-ICR MS with Multiple Ionization Sources 多电离源FT-ICR MS表征生物质燃烧衍生PM2.5中水溶性含氮有机化合物

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-20 DOI: 10.1021/acs.estlett.5c00484

Jin Liu, Rui Liu, Chao Ma, Shihui Feng, Ning Yang, Libin Wu, Junjun Deng, Wei Hu, Weiqi Xu, Yele Sun and Pingqing Fu*,

{"title":"Water-Soluble Nitrogen-Containing Organic Compounds in Biomass-Combustion-Derived PM2.5 Characterized by FT-ICR MS with Multiple Ionization Sources","authors":"Jin Liu, Rui Liu, Chao Ma, Shihui Feng, Ning Yang, Libin Wu, Junjun Deng, Wei Hu, Weiqi Xu, Yele Sun and Pingqing Fu*, ","doi":"10.1021/acs.estlett.5c00484","DOIUrl":"https://doi.org/10.1021/acs.estlett.5c00484","url":null,"abstract":"Nitrogen-containing organic compounds (NOCs) emitted from biomass combustion contribute significantly to air pollution, yet their comprehensive characterization remains limited. In this study, NOCs in PM2.5 derived from combustion of pine wood and wheat straw were characterized using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) coupled with six ionization modes, including electrospray ionization positive (+ESI) and negative (−ESI) modes, matrix-assisted laser desorption/ionization positive (+MALDI) and negative (−MALDI) modes, atmospheric-pressure photoionization positive mode (+APPI), and atmospheric-pressure chemical ionization positive mode (+APCI). This study marks the first application of FT-ICR MS with six ionization modes for biomass-combustion-derived PM2.5 characterization. We have successfully established a more comprehensive formula inventory for CHON molecules, including 7486 from pine wood combustion and 8341 from wheat straw combustion. These represent increases of 55.4–717% and 42.3–424%, respectively, compared to the numbers of formulas detected by the individual ionization modes. Furthermore, NOCs with varying oxidation states and volatilities exhibit distinct detection performance across the six ionization modes, offering deeper insights into their characteristics and enhancing the data support for the interpretation of atmospheric chemical processes.","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"12 7","pages":"804–812"},"PeriodicalIF":8.8,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144808399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Natural Organic Matter Aggregates Modulate Dibutyl Phthalate Desorption Hysteresis: Insights from Coarse-Grained Molecular Dynamics Simulations 天然有机物质聚集体调节邻苯二甲酸二丁酯解吸滞后：来自粗粒度分子动力学模拟的见解

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-18 DOI: 10.1021/acs.estlett.5c00508

Quan Chen, Wenjun Wang, Peng Yi*, Zhaoxiong Qi, Yu Huang, Min Wu, Lijuan Zhang and Bo Pan*,

{"title":"Natural Organic Matter Aggregates Modulate Dibutyl Phthalate Desorption Hysteresis: Insights from Coarse-Grained Molecular Dynamics Simulations","authors":"Quan Chen, Wenjun Wang, Peng Yi*, Zhaoxiong Qi, Yu Huang, Min Wu, Lijuan Zhang and Bo Pan*, ","doi":"10.1021/acs.estlett.5c00508","DOIUrl":"https://doi.org/10.1021/acs.estlett.5c00508","url":null,"abstract":"Sorption and desorption of organics by natural organic matter (NOM) govern their environmental fate and the associated risks. NOM can form aggregates due to its flexible framework and amphiphilic properties. However, the three-dimensional (3D) structural transformation of NOM and its role in controlling organic desorption has remained unexplored. In this work, sorption of dibutyl phthalate (DBP) on NOM was first investigated. Correlation analysis and density functional theory calculations revealed that nonpolar structures in NOM predominantly governed DBP sorption (309.4–387.8 mg/g). Subsequently, the DBP-NOM aggregates were prepared via solvent dialysis and freeze-drying, and DBP desorption was examined under various pH conditions. DBP desorption hysteresis increased with increasing pH, ranging from 26.02% (pH 9) to 63.91% (pH 4). At low pH, DBP desorption hysteresis was more pronounced for fulvic acids (FAs) than for humic acids (HAs). The 3D structure of aggregates was described using experimental characterizations and coarse-grained molecular dynamics simulations. The core–shell structure of NOM aggregates inhibited DBP desorption at high pH. The hydrophobic part of FAs was more likely to interact with DBP than HAs due to the higher degree of oxidation and polarity. This work innovatively highlights how 3D structures of NOM aggregates modulate the desorption hysteresis of HOCs.","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"12 7","pages":"856–861"},"PeriodicalIF":8.8,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144808310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Chromium Speciation Monitoring Platform for Drinking Water: Machine Learning-Assisted Dual-Emission Fluorescence Sensor Array 饮用水铬形态监测平台：机器学习辅助双发射荧光传感器阵列

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-16 DOI: 10.1021/acs.estlett.5c00506

Nuanfei Zhu, Yixing Tian, Sinuo Tao, Ze Qiao, Zhugen Yang, Ligang Hu, Jingfu Liu and Zhen Zhang*,

{"title":"Chromium Speciation Monitoring Platform for Drinking Water: Machine Learning-Assisted Dual-Emission Fluorescence Sensor Array","authors":"Nuanfei Zhu, Yixing Tian, Sinuo Tao, Ze Qiao, Zhugen Yang, Ligang Hu, Jingfu Liu and Zhen Zhang*, ","doi":"10.1021/acs.estlett.5c00506","DOIUrl":"https://doi.org/10.1021/acs.estlett.5c00506","url":null,"abstract":"Different chromium (Cr) speciation in drinking water shows distinct risk levels to humans, failing to reflect real environmental impacts only by total Cr analysis. Integrated with machine learning, a novel fluorescence sensor array was developed for rapid identification and quantitative detection of Cr speciation without sample pretreatment other than filtration. This system prepared three-component fluorescence hybrid materials (MSN@Zr@Au and MSN@Zr@AgAu) with dual emission wavelengths. The sensing unit with a dual-mode algorithm was specific for Cr speciation and accurately identified chromium speciation among 11 coexisting cations. The algorithm of linear discriminant analysis (LDA) assisting hierarchical cluster analysis (HCA) provided higher selectivity for Cr speciation for real samples. Finally, this method showed good analytical performance ranging from 1 to 60 μM, exhibiting a low detection limit of 1.29 μM. This strategy shows excellent practicability for Cr speciation analysis in drinking and tap water, developing a practical monitoring platform for real water.","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"12 7","pages":"792–798"},"PeriodicalIF":8.8,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144808152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Urine from Intensive Care Patients as a Hotspot for Pharmaceutical Emissions and Sorbent-Based Treatment 重症患者尿液作为药物排放和吸附剂治疗的热点

IF 8.8 2区环境科学与生态学

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-12 DOI: 10.1021/acs.estlett.5c00375

Bochi Yu, Marko Pranic, Serena Rizzo, Maaike A. Sikma, Alex N.C. Gosselt, Sifra van der Vis, Nora B. Sutton and Gabriel Sigmund*,

{"title":"Urine from Intensive Care Patients as a Hotspot for Pharmaceutical Emissions and Sorbent-Based Treatment","authors":"Bochi Yu, Marko Pranic, Serena Rizzo, Maaike A. Sikma, Alex N.C. Gosselt, Sifra van der Vis, Nora B. Sutton and Gabriel Sigmund*, ","doi":"10.1021/acs.estlett.5c00375","DOIUrl":"https://doi.org/10.1021/acs.estlett.5c00375","url":null,"abstract":"Pharmaceutically active compounds (PhaC) released into the environment can threaten human and environmental health. Their removal from (waste)water typically involves advanced water treatment technologies that are resource- and cost-intensive. This raises the question whether there are specific emission hotspots that would enable more targeted PhaC removal. In this study, we identify patient urine in hospitals as one such hotspot. PhaC concentrations in urine ranged from hundreds of μg/L up to tens of mg/L with some PhaC detected at concentrations above 20,000 μg/L. This concentration range is 3–4 orders of magnitude above what is found in wastewater. Intensive care unit patient urine, collected in urine drainage bags, is a promising point of intervention, as it can be easily separated from other waste streams and treated on-site. To screen for potential on-site treatment options, we tested the PhaC removal potential of a commercial activated carbon, a steam-activated biochar, and ion exchange resins in both batch and column experiments. These experiments showed that pore size distribution of activated carbon was a crucial factor for PhaC removal. Ion exchange resins were generally worse sorbents, including for charged PhaCs. Our results indicate that on-site PhaC removal from patient urine using carbon based sorbents is a promising approach to reduce PhaC emissions that warrants further investigation, but removal efficiencies need to be further improved by tailoring the sorbents and potentially pretreating the urine.","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"12 7","pages":"862–868"},"PeriodicalIF":8.8,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.estlett.5c00375","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144808094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0