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Enhanced immobilization of trace nickel by nanoplastic-Fe-Mn oxide complexes in sedimentary systems

Science of the Total Environment 2025年 958卷 177913页

作者： Wang, Lijuan Wang, Siqing Ren, Pengju Li, Jiangpeng Lu, Xiao Li, Wenqiu Tang, Yuanyuan State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology 1088 Xueyuan Blvd Nanshan District Shenzhen518055 China

Fe/Mn oxides are widely distributed mineral components in marine sediments and act as significant scavengers of trace metals. The emergence of plastic-rock complexes has led to an increasing recognition that plastics may influence the environmental behavior of minerals. Plastics, especially nanoplastics, can affect the formation of Fe/Mn oxides and their ability to immobilize heavy metals. In this study, the role of polystyrene nanoplastics (PS NPs) in the mineralization of Fe[sbnd]Mn oxides and their effects on the immobilization of heavy metals (using Ni(II) as an example) at the trace concentrations in the environment were investigated. Characterization analysis indicated that PS NPs not only adsorb Fe and Mn ions from the environment through electrostatic attraction (the force that draws together objects with opposite electrical charges) but also serve as a substrate for the heterogeneous nucleation and growth of Fe[sbnd]Mn oxides. The large specific surface area of the PS NPs provides a site for the growth of Fe[sbnd]Mn. This results in smaller particle sizes and larger specific surface areas for the generated Fe[sbnd]Mn oxides. Consequently, Fe-PS-Mn@SiO2 exhibits significantly greater adsorption efficiency for Ni(II) under various environmental conditions (such as different pH and salinity) compared to Fe-Mn@SiO2. Additionally, Fe-PS-Mn@SiO2 remained stable under sunlight at 60 °C over 1.5 years. These findings presented new insights into the impact of NPs on mineral formation and environmental behavior, expanding our understanding of the actual fate of NPs in sediment environments. © 2024 Elsevier B.V.

关键词： Heavy metals

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Cost-Effective Mapping of Hyperlocal Air pollution Using Large-Scale Mobile Monitoring and Land-Use Machine Learning

ACS ES&T Air

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ACS ES&T Air 2025年第2期2卷 151-161页

作者： Tie Zheng Yifan Wen Sheng Xiang Pan Yang Xuan Zheng Yan You Shaojun Zhang Ye Wu School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing 100084 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China State Key Laboratory of Pollution Control and Resource Reuse Tongji University Shanghai 200092 China；College of Environmental Science and Engineering Tongji University Shanghai 200092 China College of Chemistry and Environmental Engineering Shenzhen University Shenzhen 518060 China Macao Environmental Research Institute Macau University of Science and Technology Macau 999078 China；National Observation and Research Station of Coastal Ecological Environments in Macao Macao Environmental Research Institute Macau University of Science and Technology Macao 999078 China School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China；Beijing Laboratory of Environmental Frontier Technologies Beijing 100084 China

The advent of large-scale mobile monitoring using fast-response instruments has enabled hyperlocal mapping (≤100 m) of traffic-related air pollution (TRAP), with important implications for air quality management. However, most related studies have been confined within small areas due to the high cost and labor intensity. This study pioneers a cost-effective TRAP mapping method by incorporating large-scale mobile monitoring and land-use machine learning (LUML). Here, over 4.6 million 1 Hz high-frequency measurements (∼1300 h) were collected on a part of major roadways in the Chinese megacity of Shenzhen. Unmeasured locations were estimated by LUML models to reduce measurement costs and labor intensity. Various ML algorithms and varying spatial aggregation segment lengths were incorporated to optimize the model performance. Hyperlocal maps of NO, NO2, and PM2.5were predicted across the entire road network covering over 1700 km2. Based on our results, LU-RF (random forest) for mapping NO and NO2and LU-GBM (Gradient Boosting Machine) for mapping PM2.5, demonstrated superior performance. Deep learning models, in contrast, did not yield comparable results. Finer partitioning of road segments (≤100 m) improved NO prediction performance, but worsened that for NO2and PM2.5. By deployment of optimal ML algorithms and segment lengths, the TRAP mapping accuracy increased by 20–80% compared to conventional land-use regression models. This study provides a promising and cost-effective approach to hyperlocal air pollution mapping and management in cities worldwide.

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Systematic evaluation of soil-based zeolite materials for the remediation of metal(loid)-contaminated water bodies

Soil and Environmental Health

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Soil and environmental Health 2025年第2期3卷

作者： Chu, Zheting Tang, Huan Liang, Jiaxin Li, Jing Yang, Dazhong Wang, Ranhao Chen, Hong Shenzhen Key Laboratory of Interfacial Science and Engineering of Materials State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen 518055 China

The synthesis of a diverse framework structure of zeolite materials using abundant natural soils as raw materials showcases the implementation of green chemistry principles and their feasibility for environmental engineering. However, no systematic evaluation of the soil-based zeolite materials for the remediation of metal(loid)-contaminated water bodies has been conducted. Herein, using the widely spread Chinese red soil and loess as raw materials, we have successfully synthesized eight zeolite materials and established a novel soil-based zeolite library. All eight zeolite types had different adsorption capacity for 10 metal(loid) ions, including As(III), As(V), Cd, Cr(III), Cr(VI), Cu, Hg, Ni, Pb, and Zn. The selectivity regarding different metal(loid) ions of zeolites was influenced by their framework structures, pH, speciation, and concentration of coexisting ions. A mechanism study revealed that ion exchange, electrostatic attraction, and chemical precipitation synergistically contribute to the interactions between soil-based zeolite materials and metal(loid)s. This work demonstrated the construction of a soil-based zeolite library from natural soils in line with green chemistry principles. Systematic metal(loid) adsorption data for diverse water bodies were presented, including deionized, tap, sea and river water. The information is important for future engineering application of soil-based zeolites in metal(loid)-contaminated water or soil remediation. © 2025 The Author(s)

关键词： Adsorption capacity As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn Contaminated soils Green chemistry Heavy metals or metalloids Ion exchange Red soil and loess Remediation Speciation and pH

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Impact of Mixed Benzene Site Exposure on Bioaccessibility in Simulated Lung Fluids and Health Risk Assessment

SSRN

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SSRN 2025年

作者： Ma, Xuemin Wang, Ying Chen, Shuhe Wu, Changyong Wang, Weipeng Wang, Yue Engineering Research Center of Environmental Pollution Control Chinese Research Academy of Environmental Sciences Beijing100012 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China State Key Laboratory of Environmental Criteria and Risk Assessment State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing100012 China College of Urban and Rural Construction Agricultural University of Hebei Baoding071001 China

Benzene, toluene, ethylbenzene, and xylenes (BTEX) are major volatile organic compounds (VOCs) associated with petroleum production, posing significant health risks via inhalation. Conventional risk assessments primarily focus on single-compound or single-concentration exposures, overlooking the complex mixed-exposure scenarios prevalent at contaminated sites. This study refines health risk assessment frameworks by incorporating bioaccessibility-driven indices for inhalation exposure. Using a membrane oxygenator system, benzene and ethylbenzene were evaluated as representative pollutants under single and mixed exposures at low (5 mg/kg), medium (10 mg/kg), and high (20 mg/kg) concentrations. Results revealed significantly enhanced bioaccessibility of benzene and ethylbenzene in simulated lung fluid under mixed exposure compared to single exposure (P © 2025, The Authors. All rights reserved.

关键词： Lung cancer

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Antibiotic resistance occurrence and ecological impact in landfill leachate: A review on compound effect of antibiotics and non-antibiotics

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Emerging Contaminants 2025年第3期11卷

作者： Xu, Yongtao Li, Dan Yuan, Ying Fang, Fei Xi, Beidou Tan, Wenbing State Key Laboratory of Environmental Criteria and Risk Assessment and State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing 100012 China Technical Centre for Soil Agriculture and Rural Ecology and Environment Ministry of Ecology and Environment Beijing 100012 China

Landfilling remains one of the primary methods for managing municipal solid waste (MSW), processing approximately 350 million tons of waste annually. Among the various components of landfill waste, pharmaceuticals and personal care products (PPCPs), including both antibiotics and non-antibiotic compounds, pose significant environmental challenges. Landfill leachate is a highly complex medium, consisting of diverse contaminants such as non-antibiotic pharmaceuticals (average concentration ∼1.74 μg/L), antibiotics (average concentration ∼527 ng/L), heavy metals, dissolved organic matter, and micro/nano-plastics (concentration range 0.64–2.16 mg/L). This unique mixture can alter the native microbial community structure, profoundly impacting antibiotic resistance, potentially disrupting soil and groundwater ecosystems, and threatening ecological balance. Existing research has extensively investigated the composition, physicochemical properties, environmental behavior, and microbial community structure of landfill leachate, leading to significant advancements in the field. However, due to the complexity and large volume of landfill leachate, current risk assessment approaches predominantly rely on conventional pollutant indicators, and most treatment strategies are designed for general contaminants. There is a lack of systematic descriptions that integrate pollutants with their direct impacts on microbial communities. This review focuses on the current pollution status, spatiotemporal trends, interactions, and migration risks of antibiotics and non-antibiotic pollutants in landfill leachate. In particular, we explore the in situ emergence of antibiotic resistance in landfill leachate (rather than the horizontal transfer of antibiotic resistance genes) and examine the influence of various leachate components on antibiotic resistance. By emphasizing the importance of understanding the combined effects of antibiotics and non-antibiotic pollutants in landfill environments, t

关键词： Antibiotic resistance Antibiotics and non-antibiotic substances Composition effect Landfill leachate

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Molecular mechanisms of antibiotic inhibition on microbial dissimilatory iron reduction

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Journal of Hazardous Materials 2025年 493卷 138348页

作者： Ouyang, Bowei Lv, Ziyue Gan, Cui Yang, Cong Tong, Lei Shi, Jianbo MOE Key Laboratory of Groundwater Quality and Health School of Environmental Studies China University of Geosciences Wuhan China State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution Ministry of Ecology and Environment China University of Geosciences Wuhan China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China

Microbe-mediated iron cycling plays a pivotal role in biogeochemical processes. However, the impact of trace-level antibiotics on microbially mediated dissimilatory iron reduction (DIR) remains unexplored. In this study, we investigated the effects of four typical antibiotics on DIR mediated by Shewanella oneidensis MR-1, with a focus on their inhibitory effects on three extracellular electron transfer (EET) pathways: 1) direct EET, 2) soluble redox mediator-dependent EET, and 3) nanowire-mediated EET. Our findings demonstrate a concentration-dependent decline in DIR activity with increasing ceftizoxime concentrations, culminating in complete suppression at 64 μg/L. Polymyxin disrupts the cell membrane, causing structural damage that subsequently impairs the electron transport chain (ETC), leading to a reversible reduction in DIR activity. In contrast, ofloxacin and tetracycline directly down-regulated genes associated with electron production and transfer, thereby suppressing both electron transport system activity and the synthesis of NADH dehydrogenase and c-type cytochromes. This irreversibly disrupts ETC function, blocking S. oneidensis MR-1 from conducting EET and impairing DIR activity. This finding reveals antibiotic-induced alterations in microbial iron metabolism and provides new insights into their potential impact on the environmental iron cycling. © 2025 Elsevier B.V.

关键词： Antibiotics Dissimilatory iron reduction environmental toxicity Extracellular electron transfer Gene regulation Shewanella oneidensis MR-1

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N-Nitrosamines in Karst groundwaters in Southwestern China: Risks and Implications for Drinking Water Safety

SSRN

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SSRN 2025年

作者： Gu, Xiongwei Xu, Liwei Huang, Xin Chen, Yingjie Shan, Yuanyu Yan, Xiaoyu Liu, Zhaojue Zeng, Hong-Hu Chen, Wenwen Huang, Huanfang Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology Guilin University of Technology Guilin541006 China Engineering Research Center of Watershed Protection and Green Development University of Guangxi Guilin University of Technology Guilin541006 China State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control South China Institute of Environmental Sciences MEE Guangzhou510535 China SCNU Environmental Research Institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment South China Normal University Guangzhou510006 China

groundwater is a vital drinking water source for populations in remote karst regions. However, the highly developed karst tube systems facilitate the infiltration of surface wastewater containing N-nitrosamines, raising concerns about groundwater safety. To assess the safety of groundwater and identify which types are safer for consumption, this study investigated N-nitrosamines in various groundwater types, including ground river, karst cavern, well, and mountain spring waters, in Guangxi, a typical karst region in southwestern China. The total concentrations of eight N-nitrosamines in groundwater ranged from 5.1 to 70.3 ng/L, with N-nitrosodiethylamine (NDEA), N-nitrosodimethylamine (NDMA), and N-nitrosopyrrolidine (NPYR) being the dominant species. Ground river water exhibited significantly higher N-nitrosamine concentrations than karst cavern, well, and mountain spring waters. Significant correlations between N-nitrosamines and dissolved inorganic nitrogen suggested their co-emissions from domestic wastewater and the secondary formation potential of N-nitrosamines in groundwater. Redundancy analysis further identified domestic and swine wastewater as the primary sources. Ground river and mountain spring waters posed the highest risks among the four groundwater types, with 30% and 20% of sites, respectively, exceeding acceptable cancer risk thresholds. These findings underscore the importance of thorough water treatment before groundwater is used for drinking. Strict livestock farming and domestic wastewater discharge regulations are essential to mitigate contamination risks, particularly in karst areas. © 2025, The Authors. All rights reserved.

关键词： Nitrosamines

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Country-level antibiotic risk assessment in the multiple environmental matrices based on decennial data

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environmental Research 2025年 279卷 121762页

作者： Zhou, Dafang Chen, Linpeng Huang, Fuyang Yan, Bingshuang Zhou, Zikun Wang, Bin Liu, Fei Dong, Faqin Ren, Dong MOE Key Laboratory of Solid Waste Treatment and Resource Recycle Southwest University of Science and Technology Sichuan Mianyang China Tianfu Institute of Research and Innovation Southwest University of Science and Technology Chengdu China State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing China Beijing China College of Environmental Science and Engineering China West Normal University Nanchong637009 China

The overuse of antibiotics has led to widespread environmental detection. However, country-level antibiotic risks from a global perspective remain unclear, highlighting a crucial need for antibiotic management worldwide. This study elucidated a global assessment of antibiotic detection frequencies and concentrations across various countries, compared detection levels of antibiotic classifications across compartments in representative countries, and conducted a risk assessment based on predicted no-effect concentrations (PNECs) for antibiotic resistance and minimum inhibitory concentrations (MICs) relevant to microbial nitrogen cycling. A decennial dataset comprising 431,441 records for 137 antibiotics across eight environmental compartments in 45 countries was analyzed. Results showed that Kenya (199 %) had the highest cumulative detection frequencies of four aqueous media. Wastewater from WWTPs (mean: 19.7 ng/L) and animal manure (mean: 2.6 μg/kg) exhibited the highest levels in aqueous and solid media, respectively. From sources to receptors, the highest antibiotic detections and concentrations were found in wastewater from WWTP, where quinolones dominated in France and the USA, and sulfonamides in Kenya (175−357 detections, median: 137−580 ng/L). Similarly, in surface water, sulfonamides were significant in Kenya and Vietnam, quinolones in Kenya (290−2049 detections, median: 32−70 ng/L). From the perspective of cumulative risk, Malaysia, China, and Canada are ranked the top three for both PNECs risk (81 %–191 %) and MICs risk (211 %–236 %). Whether for PNECs or MICs, sulfonamides are the most exceedance-prone antibiotic class across countries and also the highest-risk antibiotic class (median: 33 %). According to the total risk results from different countries, Malaysia (402 %) has the highest risk, followed by Canada (317 %) and China (315 %). The highest antibiotic risks were observed in Asia (medium SDG score), followed by Europe and the Americas (high SDG sco

关键词： Risk assessment

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Kinetic Modeling of Secondary Organic Aerosol in a Weather-Chemistry Model: Parameterizations, Processes, and Predictions for GOAmazon

ACS ES&T Air

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ACS ES&T Air 2025年第2期2卷 249-263页

作者： Yicong He Kelsey R. Bilsback Manish Shrivastava Rahul A. Zaveri John E. Shilling John H. Seinfeld Bin Zhao Shuxiao Wang Christopher D. Cappa Jeffrey R. Pierce Shantanu H. Jathar Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States；State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States；PSE Healthy Energy Oakland California 94612 United States Pacific Northwest National Laboratory Richland Washington 99354 United States Divison of Chemistry and Chemical Engineering California Institute of Technology Pasadena California 91125 United States State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Department of Atmospheric Science Colorado State University Fort Collins Colorado 80521 United States Department of Civil and Environmental Engineering University of California Davis Davis California 95616 United States Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States

Secondary organic aerosol (SOA) forms and evolves in the atmosphere through many pathways and processes, over diverse spatial and time scales. Hence, there is a need to represent these widely varying kinetic processes in large-scale atmospheric models to allow for accurate predictions of the abundance, properties, and impacts of SOA. In this work, we integrated a kinetic, process-level model (simpleSOM-MOSAIC) into a weather-chemistry model (WRF-Chem) to simulate the oxidation chemistry and microphysics of atmospheric SOA. simpleSOM-MOSAIC simulates multigenerational gas-phase chemistry, autoxidation reactions, aqueous chemistry, heterogeneous oxidation, oligomerization, and phase-state-influenced gas/particle partitioning of SOA. As a case study, the integrated WRF-Chem-simpleSOM-MOSAIC (WC-SSM) model was used to simulate the photochemical evolution downwind of a large city (Manaus, Brazil) in the Amazon and, in turn, study the anthropogenic and biogenic interactions in an otherwise pristine environment. Consistent with previous work, we found that OA was enhanced by up to a factor of 4 in the urban plume due to elevated hydroxyl radical (OH) concentrations, relative to the background, and that this OA was dominated by SOA from biogenic precursors (80%). In addition to accurately simulating the OA enhancement in the urban plume, the model reproduced the magnitude of the OA oxygen-to-carbon (O:C) ratio and broadly tracked the evolution of the aerosol number size distribution. Our work highlights the importance of including an integrated, kinetic representation of SOA processes in an atmospheric model.

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Microbial of low-concentration antisite defects LiFePO4 for boosting lithium ion capture

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Nano Today 2025年 64卷

作者： Yuan, Jianhua Gu, Xiaosong Zhilin, Xing Zhang, Xiaochen Cao, Jianglin Chen, Hong Yu, Fei Ma, Jie Research Center for Environmental Functional Materials College of Environmental Science and Engineering Tongji University 1239 Siping Roa Shanghai200092 China Water Resources and Water Environment Engineering Technology Center Xinjiang Key Laboratory of Engineering Materials and Structural Safety School of Civil Engineering Kashi University Kashi844000 China Shenzhen Key Laboratory of Interfacial Science and Engineering of Materials State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen518055 China College of Oceanography and Ecological Science Shanghai Ocean University Shanghai201306 China

LiFePO4 (LFP) is recognized as a promising electrode material for capturing lithium ions (Li+);however, the presence of antisite defects in LFP crystals blocks the one-dimensional (1D) diffusion channel along the b-axis, thereby slowing down Li+ diffusion and compromising cycling stability. Herein, we propose a "microbial enzyme-catalyzed" green synthesis strategy, successfully preparing polymorphic LFPs characterized by a low concentration of antisite defects (+ diffusion and electron transport to effectively improve kinetics. Additionally, the carbon shell derived from polyphosphorus bacteria improved electrical conductivity and provided space to accommodate the volume expansion of LFP, ultimately enhancing cycling stability. Consequently, LFP@C-7 exhibited excellent Li+ capture capacity (3.05 mmol g−1) and rate (1.01 mmol g−1min−1), with a high separation factor of 212 (Mg/Li ratio of 60) and excellent cycling stability (capacity retention exceeding 83.3 % over 100 cycles). Electrochemical quartz crystal microbalance (EQCM-D) analysis confirmed the three-stage reaction of hydration, ion exchange, and desorption during Li+ capture by LFP@C-7. Furthermore, in-situ X-ray diffraction (XRD) demonstrated a reversible phase transition mechanism (FePO4→LiFePO4→FePO4) throughout the Li+ insertion and extraction cycles. This study provides a new feasible solution for the green synthesis of low-concentration antisite defects LFP. © 2025

关键词： Green Synthesis

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