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ACS ES&T Air 2025年第3期2卷 378-385页

作者： Yunjiang Zhang Jie Fang Qingxiao Meng Xinlei Ge Hasna Chebaicheb Olivier Favez Jean-Eudes Petit Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing 210044 China；Institut National de l’Environnement Industriel et des Risques Verneuil-en-Halatte 60550 France Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing 210044 China Institut National de l’Environnement Industriel et des Risques Verneuil-en-Halatte 60550 France Laboratoire des Sciences du Climat et de l’Environnement CEA/Orme des Merisiers Gif sur Yvette 91191 France

Long-term source apportionment of atmospheric organic aerosols (OA) is essential for supporting air pollution management strategies. While aerosol mass spectrometry (AMS) combined with traditional source apportionment tools can accurately identify various OA sources, they face efficiency challenges when processing large volumes of long-term data. This study proposes an ensemble machine learning approach to efficiently apportion OA sources from long-term AMS measurements. Using six-year observation of a simplified version of AMS (i.e., ACSM) in the Paris region along with OA factor data derived from positive matrix factorization analysis, we developed an ensemble machine learning source apportionment model. Compared to individual machine learning algorithms, the ensemble model substantially reduced the root-mean-square error (RMSE) and increased the correlation coefficient in predicting OA sources by approximately 30% and 5%, respectively. Sensitivity analysis with five years of baseline data revealed that model performance relatively stabilizes when the training data exceeds two years, with RMSE values for primary and secondary OA factors at 0.31–0.45 μg/m3and 0.69–0.84 μg/m3, respectively. This ensemble model not only enhances the efficiency of long-term OA source apportionment but also holds potential for near-real-time online applications.

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Reconstructing missing NOx emissions in heavy-duty diesel vehicle OBD data: A machine learning approach

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Journal of Hazardous Materials 2025年 494卷 138619页

作者： Cao, Zeping Wang, Yanan Zhao, Xiaoyang Yin, Jiawei Jia, Zhenyu Zhan, Yanjie Liu, Yan Zhang, Qijun Mao, Hongjun Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin300071 China Tianjin Youmei Environment Technology Ltd Tianjin300380 China

On-Board Diagnostic (OBD) systems enable real-time monitoring of heavy-duty diesel vehicle operations and NOx emissions. However, existing OBD systems have inherent limitations, including systematic missing values. To address this issue, this study develops a data-driven approach. The method utilizes OBD-recorded upstream and downstream NOx emissions data to build machine learning models for reconstructing real-world OBD data. The modeling results indicate that machine learning models perform well in predicting upstream emissions, achieving an R² above 0.9 on the test set. However, its performance in predicting downstream emissions was highly variable, with R² ranging from 0.05 to 0.98, and showed a positive correlation with fuel-based emission factors. A case study was conducted on a selected vehicle. The total NOx emission associated with missing data for this specific vehicle was estimated at 15,741.3 g, whereas the recorded emission from available data was 6157.3 g. Missing data were then imputed for an additional 31 vehicles, revealing that normal emitters showed significantly higher emission associated with missing data. The proposed approach is highly compatible with existing big data platforms and can be easily extended to other vehicles. This will improve the platform's representation of real-world emission, enabling policymakers to implement more targeted pollution mitigation strategies. © 2025 Elsevier B.V.

关键词： Emission control

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Development of a Novel (EU (Iii) Post-Functionalized Zirconium-Based Metal-Organic Framework) Dual-Emission Ratiometric Fluorescent Probe for Rapid and Highly Selective Detection of Pb2+ and Cu2+

SSRN

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SSRN 2025年

作者： He, Yu Liu, Suqing Zhou, Yan Wang, Junping School of Public Health the key Laboratory of Environmental Pollution Monitoring and Disease Control Ministry of Education Guizhou Medical University Guiyang550025 China State Key Laboratory of Food Nutrition and Safety College of Food Science and Engineering Tianjin University of Science & Technology 29 The Thirteenth Road Tianjin Economy and Technology Development Area Tianjin300457 China

At present, with the development of society, different enterprises inevitably produce industrial wastewater and waste residue containing lead and copper. Therefore, there is an urgent need for a rapid and simple method to detect lead and copper in pollutants. In this paper, a metal-organic framework (MOF) doped with Eu(III) (Eu3+/UiO-66-NH2) was successfully prepared by one-pot hydrothermal technique. The probe is capable of detecting Pb2+ and Cu2+ with high sensitivity. Pb2+ and Cu2+ have detection ranges of 5-340 μM and 0.01-200 μM, respectively. The detection limit for Pb2+ was as low as 1.01 μM, and the detection limit for Cu2+ was 6.46 μM. mol/L. This approach has a good detection performance when compared to the method described in the literature. It shows that the prepared sensor has great potential in the detection of actual lead and copper, and provides a practical and effective method for rapid and accurate detection of heavy metal ions. © 2025, The Authors. All rights reserved.

关键词： Fluorescence

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非农业源排放增强大气二甲胺浓度并调节城市颗粒物成核

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Science Bulletin 2023年第13期68卷 1447-1455,M0004页

作者：常运华凌清扬盖鑫磊袁相洋周升钱程凯毛鉴炯黄丹丹胡磬遥鲁君崔世杰高雅琴陆轶群朱亮谭稳郭松胡敏王红丽黄成黄汝锦张远航胡建林 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters NUIST Center on Atmospheric EnvironmentNanjing University of Information Science&Technology(NUIST)Nanjing 210044China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologyNanjing University of Information Science&TechnologyNanjing 210044China State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science and EngineeringFudan UniversityShanghai 200433China State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex Shanghai Academy of Environmental SciencesShanghai 200233China TOFWERK China Nanjing 211800China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Loess and Quaternary Geology Center for Excellence in Quaternary Science and Global ChangeKey Laboratory of Aerosol Chemistry&PhysicsInstitute of Earth and EnvironmentChinese Academy of SciencesXi’an 710061China

气态二甲胺(DMA)是大气新粒子生成的关键前体物,然而对其来源与空气和气候效应仍存在巨大争议.本研究率先对中国大气DMA浓度开展了南北跨区域与城市内部的走航观测.发现亚热带森林植物的DMA排放浓度可能南方远高于北方,同时记录到由工... 详细信息

气态二甲胺(DMA)是大气新粒子生成的关键前体物,然而对其来源与空气和气候效应仍存在巨大争议.本研究率先对中国大气DMA浓度开展了南北跨区域与城市内部的走航观测.发现亚热带森林植物的DMA排放浓度可能南方远高于北方,同时记录到由工业脉冲排放所导致的全球最高大气DMA浓度.在高度城市化的上海地区,DMA浓度自市中心向外围逐渐降低且与人口密度关联.源排放的直接测试进一步表明中国区域和城市内部的大气二甲胺都深受非农业源排放的影响.大气化学传输模式也证实,居民DMA排放主导了上海城市大气颗粒物数浓度的贡献.该研究将外场观测、源排放测试与模型模拟相结合,呈现了中国大气二甲胺的全生命周期,为颗粒物污染防治和气候变化评估提供了有用参考.

关键词： Newparticleformation Amines Volatile organic compounds Urbanatmosphere Non-agricultural sources

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Multi-scale analysis of the chemical and physical pollution evolution process from pre-co-pollution day to PM2.5 and O3 co-pollution day

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Science of the Total Environment 2024年 945卷 173729页

作者： Wang, Feng Zhang, Chun Ge, Yi Zhang, Zhang Shi, Guoliang Feng, Yinchang School of Environmental Science and Safety Engineering Tianjin University of Technology Tianjin300384 China Shaanxi Province Environmental Monitoring Center Xi'an710054 China State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin Key Laboratory of Urban Transport Emission Research College of Environmental Science and Engineering Nankai University Tianjin300350 China Cooperative Laboratory for Atmospheric Environment-Health Research College of Environmental Science and Engineering Nankai University Tianjin300350 China

PM2.5 and O3 are two of the main air pollutants that have adverse impacts on climate and human health. The evolution process of PM2.5 and O3 co-pollution are of concern because of the increased frequency of PM2.5 and O3 co-pollution days. Here, we examined the chemical coupling and revealed the driving factors of the PM2.5 and O3 co-pollution evolution process from cleaning day, PM2.5 pollution day, or O3 pollution day, applied by theoretical analysis and model calculation methods. The results demonstrate that PM2.5 and O3 co-pollution day frequently occurred with high concentrations of gaseous precursors and higher sulfur oxidation ratio (SOR) and nitrogen oxidation ratio (NOR), which we attribute to the enhancement of atmospheric oxidation capacity (AOC). The AOC is positively correlated with O3 and weakly correlated with PM2.5. In addition, we found that the correlation coefficients of PM2.5-NO2 (0.62) were higher than that of PM2.5-SO2 (0.32), highlighting the priority of NOx controlling to mitigate PM2.5 pollution. Overall, our discovery can provide scientific evidence to design feasible solutions for the controlling PM2.5 and O3 co-pollution process. © 2024

关键词： Oxidation

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Simulating the multi-media fate of perfluorooctane sulfonate (PFOS) and its precursors in the Bohai coastal region of China

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Science of the Total Environment 2024年 957卷 177772页

作者： Han, Guoxiang Song, Shuai Du, Di Cui, Haotian Lu, Yonglong Wang, Rui State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China State Key Laboratory of Marine Environmental Science and Key Laboratory of the Ministry of Education for Coastal Wetland Ecosystems College of the Environment and Ecology Xiamen University Fujian 361102 China University of Chinese Academy of Sciences Beijing100049 China Ministry of Emergency Management Big Data Center Beijing100010 China Key Laboratory of Cyberspace and Data Security Ministry of Emergency Management Beijing100010 China School of Ecology and Nature Conservation Beijing Forestry University Beijing100083 China Transport Planning and Research Institute Ministry of Transport Laboratory of Transport Pollution Control and Monitoring Technology Beijing100028 China

PFOS and its precursors are of great concern due to their persistence and widespread presence in the environment. However, few studies have been conducted on their transformation and fate at a regional scale. We aim to address this gap by investigating their fate in the Bohai coastal region of China. Emissions of PFOS and its precursors are estimated based on anticipated POSF production in China from 1976 to 2025. Comparison of emission sources revealed that PFOS primarily originated from direct emissions, while precursors were notably influenced by indirect sources. Dynamic concentration curves of these pollutants in various compartments were simulated and validated against measured values. Spatial analysis indicated higher concentrations of these pollutants in sections 25 (Beijing), 26 (Tianjin), and 48 (Shenyang), with lower concentrations observed in sections 8, 16, and 24. The mass flux results highlighted significantly different pathways: precursors primarily interacted between upper and lower air with notable degradation, while PFOS mainly moved from lower air to soil and freshwater. Mass fluxes into the Bohai Sea suggested that PFOS mainly entered via water flow, while precursors primarily came through air deposition. Uncertainty analysis revealed higher uncertainties in soil and sediments than the oceans, with additional uncertainties in estimated emissions, and seawater salinity. This study provides a theoretical basis for modelling and regulating PFOS. © 2024

关键词： Miocene

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Quantifying regional transport contributions to PM2.5-bound trace elements in a southeast coastal island of China: Insights from a machine learning approach

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Environmental pollution 2025年 377卷 126448页

作者： Chen, Naihua You, Jianyong Lin, Qing Zhang, Limei Zeng, Zhiwei Gao, Yue Zeng, Jinfeng Hu, Baoye Yang, Yuxiang College of Chemistry Chemical Engineering and Environment Minnan Normal University Zhangzhou363000 China Pingtan Environmental Monitoring Center of Fujian Pingtan350400 China Fujian Provincial Key Laboratory of Modern Analytical Science and Separation Technology Minnan Normal University Zhangzhou363000 China Fujian Province University Key Laboratory of Pollution Monitoring and Control Minnan Normal University Zhangzhou363000 China

Identifying and quantifying pollution sources and their associated health risks are essential for formulating effective pollution control policies. This study analyzed PM2.5-bound trace elements based on one year of sampling data collected from a low-PM2.5 island in southeastern coastal China. A de-weathered model based on the eXtreme Gradient Boosting (XGBoost) algorithm was applied to remove meteorological influences and estimate local baseline pollutant concentrations. By combining backward air mass trajectories with de-weathered concentrations, we quantified the variation in transport contributions among different trajectory types. Results indicated that meteorological factors reduced PM2.5 and anthropogenic trace element concentrations by 36.7 %–58.4 % in summer, but increased them by 6.4 %–26.0 % in winter. In contrast, elements related to shipping emissions showed an opposite trend. Positive matrix factorization (PMF) identified industrial and shipping emissions as the two main sources of trace elements, originating from distinct regions. Shipping emissions contributed greatly health risks in summer, while industrial emissions dominated in other seasons. The non-carcinogenic risk (NCR) remained within acceptable levels, whereas carcinogenic risks (CR) exceeded recommended thresholds. Marine airflows (MA), inland airflows (IA), and local airflows (LA) altered trace element concentrations by −3.7 %, +6.4 %, and −5.4 %, respectively. These airflow types changed NCR by −16.4 %, +8.2 %, and −13.5 %, and CR by −4.1 %, +4.7 %, and −28.9 %, respectively. These findings underscore the substantial impact of regional transport on trace elements and the critical need for coordinated regional air quality management, offering new insights into pollutant sources and their associated health risks in relatively less polluted coastal regions. © 2025 Elsevier Ltd

关键词： Health risks

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Reduction of the oxidative damage to H_(2)O_(2)-induced HepG2 cells via the Nrf2 signalling pathway by plant flavonoids Quercetin and Hyperoside

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Food Science and Human Wellness 2024年第4期13卷 1864-1876页

作者： Meijing Zhang Gaoshuai Zhang Xiangxing Meng Xinxin Wang Jiao Xie Shaoshu Wang Biao Wang Jilite Wang Suwen Liu Qun Huang Xu Yang Jing Li Hao Wang State Key Laboratory of Food Nutrition and Safety Tianjin University of Science and Technology(TUST)Tianjin 300457China Key Laboratory of Environmental Pollution Monitoring and Disease Control Ministry of EducationGuizhou Medical UniversityGuiyang 550025China College of Chemical Engineering and Materials Science Tianjin University of Science and Technology(TUST)Tianjin 300457China Department of Agriculture Hetao CollegeBayannur 015000China College of Food Science&Technology Hebei Normal University of Science and TechnologyQinhuangdao 066004China National Center of Supervision and Inspection for Processed Food Quality Tianjin Institute for Food Safety Inspection TechnologyTianjin 300457China

Hyperoside and quercetin are similar in molecular *** this study,the antioxidant regulatory targets of hyperoside and quercetin are mainly in the nuclear factor(erythroid-2-derived)-related factor 2(Nrf2)pathway predicted by network *** the antioxidant effect and mechanism of hyperoside and quercetin were measured and compared in H_(2)O_(2)-induced Hep G2 cells and Caenorhabditis *** findings indicated that quercetin was more effective than hyperoside in reducing oxidative damage,which was proved by improved cell viability,decreased reactive oxygen species(ROS)production,decreased cellular apoptosis,and alleviated mitochondrial *** addition,quercetin was more efficient than hyperoside in enhancing the expression of Nrf2-associated m RNAs,increasing the activities of superoxide dismutase(SOD),glutathione peroxidase(GSH-Px),and catalase(CAT),and reducing the cellular malondialdehyde(MDA)*** was superior to hyperoside in prolonging the lifespan of worms,decreasing the accumulation of lipofuscin,inhibiting ROS production,and increasing the proportion of skn-1 in the *** the Nrf2 inhibitor ML385,we verified that quercetin and hyperoside primarily protected the cells against oxidative damage via the Nrf2 signalling ***,molecular docking and dynamics simulations demonstrated that the quercetin-Kelch-like ECH-associated protein 1(Keap1)complex was more stable than the hyperoside-Keap1 *** stable structure of the complex might hinder the binding of Nrf2 and Keap1 to release Nrf2 and facilitate its entry into the nucleus to play an antioxidant ***,quercetin had a better antioxidant than hyperoside.

关键词： Hyperoside Quercetin HepG2 cell Oxidative damage Nrf2 signalling pathway

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Differential cytotoxicity to human cells in vitro of tire wear particles emitted from typical road friction patterns: The dominant role of environmental persistent free radicals

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Chemosphere 2023年 343卷 140256页

作者： Li, Kun Yu, Jianghua Kong, Deyue Chen, Xingyue Peng, Yonghong Wang, Liangliang Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology China School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing210044 China School of Applied Technology Nanjing University of Information Science and Technology Nanjing210044 China

Tire wear particles (TWPs) have been recognized as one of the major sources of microplastics (MPs), however, effects of initial properties and photochemical behavior of TWPs on cytotoxicity to human cells in vitro have not been reported. Therefore, here, three TWPs generated from typical wear of tires and pavements (i.e., rolling friction (R-TWPs) and sliding friction (S-TWPs)) and cryogenically milled tire tread (C-TWPs), respectively, and their photoaging counterparts were used to study the reasons for their differential cytotoxicity to 16HBE cells in vitro. Results showed in addition to changes of surface structure and morphology, different preparation methods could also induce formation of different concentration levels of environmental persistent free radicals (EPFRs) (from 1.24 to 3.06 × 1017 spins/g with g-factors ranging 2.00307–2.00310) on surfaces of TWPs, which contained 7.3%–65.8% of reactive EPFRs (r-EPFRs). Meanwhile, photoaging for 90 d could strengthen formation of EPFRs (from 4.03 to 4.61 × 1017 spins/g) with containing 74.7%–78.1% r-EPFRs on surfaces of TWPs and improve their g-factor indexes (ranging 2.00309–2.00313). At 100 μg mL−1 level, compared to C-TWPs, both R-TWPs and S-TWPs (whether photoaging or not) carried higher intensity EPFRs could significantly inhibit 16HBE cells proliferation activity, cause more cells oxidative stress and induce more cell apoptosis/necrosis and secretion of inflammatory factor (P −1 appeared to be non-acute cytotoxic. Correlation analysis suggested dominant toxicity of TWPs was attributed to the formation of r-EPFRs on their surfaces, which could promote accumulation of excess reactive oxygen species in cells and the massive deposition of intracellular particles. This study provides direct evidence of TWPs cytotoxicity, and underlining the need for a better understanding of the influences of initial properties and photochemical characteristics on risk assessment of TWPs released into the environment. © 2023 Elsev

关键词： Free radicals

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Potential Effects of Cu2+ Stress on Nitrogen Removal Performance, Microbial Characteristics, and Metabolism Pathways of Biofilm Reactor

SSRN

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SSRN 2024年

作者： Zhang, Shuai Huang, Xiao Dong, Wenyi Wang, Hongjie Hu, Liangshan Zhou, Guorun Zheng, Zhihao Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control School of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing210044 China Shenzhen518055 China State Key Laboratory of Urban Water Resource and Environment School of Environment Harbin Institute of Technology Harbin150090 China

Sequencing batch biofilm reactors (SBBR) were utilized to investigate the impact of Cu2+ on nitrogen (N) removal and microbial characteristics. The result indicated that the low concentration of Cu2+ facilitated the removal of ammonia nitrogen (NH4+-N), total nitrogen (TN). Compared with the control group of the average effluent concentration, the average effluent concentrations of NH4+-N, TN were found to decrease by 40.53%, 15.86%, respectively. Conversely, the high concentration of Cu2+ resulted in a increase of 94.27%, 14.23% in the aforementioned parameters, compared with the control group. The addition of low concentrations of Cu2+ significantly (P © 2024, The Authors. All rights reserved.

关键词： Nitrogen removal

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