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Antibiotic Intermediates and Antibiotics Synergistically Promote the Development of Multiple Antibiotic Resistance in Antibiotic Production Wastewater

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SSRN 2024年

作者： Miao, Sun Zhang, Yanyan Li, Baochan Yuan, Xin Men, Cong Zuo, Jiane State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China School of Energy and Environmental Engineering Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants University of Science and Technology Beijing Beijing100083 China Tsinghua Shenzhen International Graduate School Shenzhen518055 China

Antibiotic resistance (AR) is a major public health concern. Antibiotic intermediates (AIs) used in the production of semisynthetic antibiotics have the same bioactive structure as parent antibiotics and synthetic antibiotic production wastewater usually contains high concentrations of residual AIs;however, the effects of AIs and their interactive effects with antibiotics on the emergence of AR are unknown. In this study, antibiotic-sensitive E. coli K12 was exposed to five types of β-lactam AIs and their parent antibiotic ampicillin to analyze their impact on the evolution of multiple AR. The results indicated that AI 6-APA inhibits bacterial growth and stimulates the production of reactive oxygen species, as well as induces AR and antibiotic persistence like the parent antibiotic AMP. Combined exposure to 6-APA and AMP synergistically stimulated the induction of multiple AR and antibiotic persistence. The resistance mutation frequency increased up to 6.1×106-fold under combined exposure and the combination index reached 1326.5, indicating a strong synergy of 6-APA and AMP. Phenotypic and genotypic analyses revealed that these effects were associated with the overproduction of reactive oxygen species, enhanced stress response signatures, and activation of efflux pumps. These findings provide evidence and mechanistic insights into AR induction by AIs in antibiotic production wastewater. © 2024, The Authors. All rights reserved.

关键词： Antibiotics

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Cadmium immobilization by mercapto-palygorskite in alkaline soil: Impacts on soil microbial communities and wheat rhizosphere metabolism

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Science of the Total environment 2024年 955卷 176734页

作者： Ma, Wenyan Ge, Chenghao Sun, Yuebing Wang, Min Zhou, Dongmei State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University Nanjing210023 China Agro-Environmental Protection Institute Ministry of Agriculture and Rural Affairs Tianjin300191 China

Weakly alkaline cadmium (Cd) contaminated soil in China has aroused great concern regarding its impact on food security and human health. Mercapto-modified palygorskite (MP) has exhibited good potential to minimize Cd accumulation in wheat, it is imperative to understand the underlying mechanisms within the soil-wheat-microbial system for sustainable development of agrochemicals. This study evaluated the effects of various MP dosages on soil Cd bioavailability, rhizosphere metabolomics, microbial community structure and wheat growth. The results indicated that MP (0.05–0.2 %) application significantly reduced Cd accumulation in wheat grains by 59.0–83.2 % (p © 2024 Elsevier B.V.

关键词： Agricultural food safety Cadmium Mercapto-palygorskite Metabolism Microbial community

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Application of smog chambers in atmospheric process studies

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National Science Review 2022年第2期9卷 126-141页

作者： Biwu Chu Tianzeng Chen Yongchun Liu Qingxin Ma Yujing Mu Yonghong Wang Jinzhu Ma Peng Zhang Jun Liu Chunshan Liu Huaqiao Gui Renzhi Hu Bo Hu Xinming Wang Yuesi Wang Jianguo Liu Pinhua Xie Jianmin Chen Qian Liu Jingkun Jiang Junhua Li Kebin He Wenqing Liu Guibin Jiang Jiming Hao Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences College of Resources and Environment University of Chinese Academy of Sciences Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Beijing Convenient Environmental Tech Co.Ltd Key Laboratory of Environmental Optics and Technology Anhui Institutes of Optics and Fine Mechanics Chinese Academy of Sciences State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization Guangzhou Institute of Geochemistry Chinese Academy of Sciences Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science and Engineering Fudan University State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University

Smog chamber experimental systems,which have been widely used in laboratory simulation for studying atmospheric processes,are comprehensively reviewed in this *** components,development history,main research topics and main achievements of smog chambers are *** smog chambers in the world,including their volumes,wall materials,light sources and features,are summarized and *** factors of smog chambers and their influences on the simulation of the atmospheric environment are discussed,including wall loss,wall emission and background *** features of next-generation smog chambers and their application prospect in future studies of the atmospheric environment are also outlined in this paper.

关键词： smog chamber simulation wall effect secondary aerosol ozone

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On the applicability of the‘humic acids’nomenclature from natural ecosystems to engineering sciences

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environmental Science and Ecotechnology 2021年第2期6卷 1-2页

作者： Xinyu Zhao Beidou Xi Wenbing Tan Xiang Li Qiuling Dang Renfei Li State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing100012China State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental SciencesBeijing100012China State Environmental ProSchool of Environment Tsinghua University Beijing100084China

‘Humic acids(HA)’are the major constituents of natural organic matter(NOM)derived from the plant or biological residues by decomposition and synthesis in natural *** have been defined as relatively high molecular weight aggregates of macromolecules associations with series of highly reactive functional compounds,and considered to be as irreplaceable roles(such as the impact on global carbon and nitrogen dynamics,atmosphere,living plants,chemically reactive and NOM structure stabilization)in natural ecosystems[1].

关键词： Humic acid Engineering sciences Natural ecosystems Alkaline extraction technique

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An overview for monitoring and prediction of pathogenic microorganisms in the atmosphere

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Fundamental Research 2024年第3期4卷 430-441页

作者： Jianping Huang Danfeng Wang Yongguan Zhu Zifeng Yang Maosheng Yao Xiaoming Shi Taicheng An Qiang Zhang Cunrui Huang Xinhui Bi Jiang Li Zifa Wang Yongqin Liu Guibing Zhu Siyu Chen Jian Hang Xinghua Qiu Weiwei Deng Huaiyu Tian Tengfei Zhang Tianmu Chen Sijin Liu Xinbo Lian Bin Chen Beidou Zhang Yingjie Zhao Rui Wang Han Li Collaborative Innovation Center for Western Ecological Safety College of Atmospheric SciencesLanzhou UniversityLanzhou 730000China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory HealthFirst Affiliated Hospital of Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease(Guangzhou Medical University)Guangzhou 510230China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China China CDC Key Laboratory of Environment and Population Health National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijing 100021China Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Vanke School of Public Health Tsinghua UniversityBeijing 100084China State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Pan-third Pole Environment Lanzhou UniversityLanzhou 730000China College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China School of Atmospheric Sciences Sun Yat-sen Universityand Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 510640

Corona virus disease 2019(COVID-19)has exerted a profound adverse impact on human *** have demonstrated that aerosol transmission is one of the major transmission routes of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Pathogenic microorganisms such as SARS-CoV-2 can survive in the air and cause widespread infection among *** monitoring of pathogenic microorganism transmission in the atmosphere and accurate epidemic prediction are the frontier guarantee for preventing large-scale epidemic *** of pathogenic microorganisms in the air,especially in densely populated areas,may raise the possibility to detect viruses before people are widely infected and contain the epidemic at an earlier *** multi-scale coupled accurate epidemic prediction system can provide support for governments to analyze the epidemic situation,allocate health resources,and formulate epidemic response *** review first elaborates on the effects of the atmospheric environment on pathogenic microorganism transmission,which lays a theoretical foundation for the monitoring and prediction of epidemic ***,the monitoring technique development and the necessity of monitoring pathogenic microorganisms in the atmosphere are summarized and ***,this review introduces the major epidemic prediction methods and highlights the significance to realize a multi-scale coupled epidemic prediction system by strengthening the multidisciplinary cooperation of epidemiology,atmospheric sciences,environmental sciences,sociology,demography,*** summarizing the achievements and challenges in monitoring and prediction of pathogenic microorganism transmission in the atmosphere,this review proposes suggestions for epidemic response,namely,the establishment of an integrated monitoring and prediction platform for pathogenic microorganism transmission in the atmosphere.

关键词： Aerosol transmission Epidemic monitoring methods Epidemic prediction modelsEpidemic response Multidisciplinary cooperation

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Identification of pollutant markers in rural mountainous areas of China by combining non-targeted analysis with zebrafish embryo toxicity tests

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Science of the Total environment 2025年 965卷 178625页

作者： Li, Jiaqi Zhou, Min Chen, Zhongli Guo, Jinsong Fang, Fang Schäffer, Andreas Shao, Ying Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment Ministry of Education Chongqing University Chongqing400045 China Institute for Environmental Research RWTH Aachen University Aachen52074 Germany State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University Nanjing210093 China

Emerging pollutants (EPs) are increasingly found around the world, yet their composition and the risks pose to soil environments remain unclear, making a challenge to EP management, particularly in mountainous rural areas. In this study, we collected soils from three types of mountainous villages, each representing different levels of economic development: an industrial village, an ecotourism village, and an agricultural village. We analyzed these samples using non-target analysis and Danio rerio embryotoxicity test (ZET). A total of 216 compounds (level 2) were identified by matching with mzCloud database, with 149, 107, and 157 found in YY (industrial village), DX (ecotourism village) and LH (agricultural village), respectively. Interestingly, 78 compounds were present in all three villages, while the number of unique substances ranged from 7 to 47 in each village, serving as potential pollution markers. The most prevalent substances identified were aliphatics, heterocyclics, and aromatics. The ZET results showed that all soil extracts had significant acute toxic effects. Further analysis revealed a correlation between the toxic substances and the economic types of the villages. Specifically, linear chain dicarboxylic acids, drugs, and oxygenated polycyclic aromatic hydrocarbons (OPAHs) were the primary toxicants in the industrial village, whereas phthalate esters dominated in the other two villages. These findings provide valuable insights for effective monitoring of EPs in mountainous rural areas. © 2025 Elsevier B.V.

关键词： Methyl ester

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PM_(2.5)and water-soluble inorganic ion concentrations decreased faster in urban than rural areas in China

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Journal of environmental Sciences 2022年第12期34卷 83-91页

作者： Yangyang Zhang Aohan Tang Chen Wang Xin Ma Yunzhe Li Wen Xu Xiaoping Xia Aihua Zheng Wenqing Li Zengguo Fang Xiufen Zhao Xianlong Peng Yuping Zhang Jian Han Lijuan Zhang Jeffrey L.Collett Jr Xuejun Liu Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation College of Resources and Environmental SciencesNational Academy of Agriculture Green DevelopmentChina Agricultural UniversityBeijing 100193China Analysis and Testing Center Beijing Normal UniversityBeijing 100875China Fujian Institute of Tobacco Agricultural Sciences Fuzhou 350003China College of Resources and Environment Qingdao Agricultural UniversityQingdao 266109China College of Resources and Environment Northeast Agricultural UniversityHaerbin 150030China College of Resources and Environment Hunan Provincial Key Laboratory of Farmland Pollution Control and Agricultural Resources UseHunan Agricultural UniversityChangsha 410128China College of Resources and Environment Hebei Agricultural UniversityBaoding 071001China Department of Atmospheric Science Colorado State UniversityFort CollinsCO 80523USA

We investigated variations of PM_(2.5)and water-soluble inorganic ions chemical characteristics at nine urban and rural sites in China using ground-based *** 2015 to 2019,mean PM_(2.5)concentration across all sites decreased by 41.9μg/m~3with a decline of 46%at urban sites and 28%at rural sites,where secondary inorganic aerosol(SIAs)contributed to 21%(urban sites)and 17%(rural sites)of the decreased PM_(2.5).SIAs concentrations underwent a decline at urban locations,while sulfate(SO_(4)^(2–)),nitrate(NO_(3)^(–)),and ammonium(NH_(4)^(+))decreased by 49.5%,31.3%and 31.6%,***,only SO_(4)^(2–)decreased at rural sites,NO_(3)^(–)increased by 21%and NH_(4)^(+)decreased *** changes contributed to an overall SIAs increase in *** molar ratios of NO_(3)^(–)to SO_(4)^(2–)and NH_(4)^(+)to SO_(4)^(2–)were observed at urban sites than rural sites,being highest in the heavily polluted *** molar ratios of NH_(3)/NH_xwere higher in 2019 than 2015 at both urban and rural sites,implying increasing NH_xremained as free NH_(3).Our observations indicated a slower transition from sulfate-driven to nitrate-driven aerosol pollution and less efficient control of NO_(x)than SO_(2)related aerosol formation in rural regions than urban ***,the common factor at urban and rural sites appears to be a combination of lower SO_(4)^(2–)levels and an increasing fraction of NO_(3)^(–)to PM_(2.5)under NH_(4)^(+)-rich *** findings imply that synchronous reduction in NO_(x)and NH_(3)emissions especially rural areas would be effective to mitigate NO_(3)^(–)-driven aerosol pollution.

关键词： PM_(2.5) Nitrate Ammonium Sulfate Air pollutant emission pollution mitigation

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Prediction of as and Cd Dissolution in Various Soils Under Flooding Condition

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SSRN 2024年

作者： Ge, Jingwen Wu, Song Wu, Haotian Lin, Jianyu Cai, Yijun Zhou, Dongmei Gu, Xueyuan State Key Laboratory of Pollution Control and Resource Reuse School of Environment Nanjing University Nanjing China Institute of Soil Science Chinese Academy of Sciences Nanjing China

Although the mobility of arsenic (As) and cadmium (Cd) in soils during the flooding-drainage process has been intensively studied, prediction their dissolution among various soils still remains a challenge. After comprehensively monitoring multiple parameters related to As and Cd dissolution in 8 soils for a 60-day anaerobic incubation, the redundancy analysis (RDA) and structural equation model (SEM) were employed to identify the key factors and influencing pathways controlling the dynamic release of As and Cd. Results showed that pH alone explained 90.5% Cd dissolution, while the dissolved-Fe(II) and 5M-HCl extractable Fe(II) jointly only explained 50.6% As dissolution. After data normalization, the ratio of Fe(II) to 5M-HCl extracted total Fe (i.e. [[EQUATION]]/[[EQUATION]]) significantly improved the correlation to R2 = 0.824 (p © 2024, The Authors. All rights reserved.

关键词： Dissolution

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Cross-stacked super-aligned carbon nanotube/activated carbon composite electrodes for efficient water purification via capacitive deionization enhanced ultrafiltration

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Frontiers of environmental Science & Engineering 2020年第6期14卷 181-190页

作者： Min Li Shuai Liang Yang Wu Meiyue Yang Xia Huang Beijing Key Laboratory for Source Control Technology of Water Pollution College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China Department of Mechanical Engineering and Tsinghua Foxconn Nanotechnology Research Center Tsinghua UniversityBeijing 100084China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

The practical application of the capacitive deionization(CDI)enhanced ultrafiltration(CUF)technology is hampered due to low performance of *** current study demonstrated a novel super-aligned carbon nanotube(SACNT)/activated carbon(AC)composite electrode,which was prepared through coating AC on a cross-stacked SACNT *** desalination capability and water purification performance of the prepared electrode were systematically investigated at different applied voltages(0.8-1.2 V)with a CDI system and a CUF system,*** the CDI tests,as compared with 5ie control AC electrode,the SACNT/AC electrode achieved an approximately 100%increase in both maximum salt adsorption capacity and average salt adsorption rate under all the applied voltage conditions,demonstrating a superior desalination ***,a conspicuous increase by an average of-26%in charge efficiency was also achieved at all the *** the CUF tests,as compared with the control run at 0 V,the treatment runs at 0.8,1.0,and 1.2 V achieved a 2.40-fold,2.08-fold,and 2.43-fold reduction in membrane fouling(calculated according to the final transmembrane pressure(TMP)data at the end of every purification stage),*** average TMP increasing rates at 0.8,1.0,and 1.2 V were also roughly two times smaller than that at 0 V,indicating a dramatical reduction of membrane *** SACNT/AC electrode also maintained its superior desalination capability in the CUF process,resulting in an overall improved water purification efficiency.

关键词： Carbon nanotube Super aligned Conductive membrane Capacitive deionization Ultrafiltration Desalination

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Knowledge-guided machine learning reveals pivotal drivers for gasto-particle conversion of atmospheric nitrate

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environmental Science and Ecotechnology 2024年第3期19卷 100-108页

作者： Bo Xu Haofei Yu Zongbo Shi Jinxing Liu Yuting Wei Zhongcheng Zhang Yanqi Huangfu Han Xu Yue Li Linlin Zhang Yinchang Feng Guoliang Shi State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin Key Laboratory of Urban Transport Emission ResearchCollege of Environmental Science and EngineeringNankai UniversityTianjin300350China CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research(CLAER) College of Environmental Science and EngineeringNankai UniversityTianjin300350China Department of Civil Environmentaland Construction EngineeringUniversity of Central FloridaOrlandoFLUSA School of Geography Earth and Environment Sciences University of BirminghamBirminghamB152TTUK State Key Laboratory of Precision Measuring Technology and Instruments Tianjin Key Laboratory of air Pollutants Monitoring TechnologySchool of Precision Instrument and Opto-electronics EngineeringTianjin UniversityTianjin300072China Gigantic Technology(Tianjin)Co. LtdTianjin300072China College of Computer Science Nankai UniversityTianjin300350China China National Environmental Monitoring Centre Beijing100012China

Particulate nitrate,a key component of fine particles,forms through the intricate gas-to-particle conversion *** process is regulated by the gas-to-particle conversion coefficient of nitrate(ε(NO_(3)^(-))).The mechanism betweenε(NO_(3)^(-))and its drivers is highly complex and nonlinear,and can be characterized by machine learning ***,conventional machine learning often yields results that lack clear physical meaning and may even contradict established physical/chemical mechanisms due to the influence of ambient *** urgently needs an alternative approach that possesses transparent physical interpretations and provides deeper insights into the impact ofε(NO_(3)^(-)).Here we introduce a supervised machine learning approachdthe multilevel nested random forest guided by theory *** approach robustly identifies NH4 t,SO_(4)^(2-),and temperature as pivotal drivers forε(NO_(3)^(-)).Notably,substantial disparities exist between the outcomes of traditional random forest analysis and the anticipated actual ***,our approach underscores the significance of NH4 t during both daytime(30%)and nighttime(40%)periods,while appropriately downplaying the influence of some less relevant drivers in comparison to conventional random forest *** research underscores the transformative potential of integrating domain knowledge with machine learning in atmospheric studies.

关键词： Machine learning Data driven Theoretical approach Domain knowledge Guide

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