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Inactivation of Antibiotic Resistant Bacteria and Degradation of Plasmid-Encoded Antibiotic Resistance Genes in Groundwater by Conventional Ozonation and Electro-Peroxone Process

SSRN

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SSRN 2022年

作者： Zheng, Quan Zhang, Yinqiao Zhang, Qianxin Wang, Yujue Yu, Gang School of Environment Beijing Key Laboratory for Emerging Organic Contaminants Control State Key Joint Laboratory of Environmental Simulation and Pollution Control Tsinghua University Beijing100084 China

The electro-peroxone (EP) process is an emerging advanced oxidation process that combines ozonation with electrochemical hydrogen peroxide (H 2 O 2 ) production to drive the peroxone (O 3 /H 2 O 2 ) process for water treatment. Prior studies have shown that the EP process can considerably enhance ozone-resistant pollutant abatement and mitigate bromate formation during water treatment compared to conventional ozonation. This study further compared the inactivation of antibiotic resistant bacteria (ARB) and the degradation of plasmid-encoded antibiotic resistance genes (ARGs) during groundwater treatment by conventional ozonation and the EP process. Due to the enhanced transformation of ozone (O 3 ) to hydroxyl radicals (•OH) by electro-generated H 2 O 2 , higher •OH exposures, but lower O 3 exposures were obtained during the EP process than conventional ozonation. The inverse change of O 3 and •OH exposures decreases the efficiency of ARB inactivation and ARG degradation moderately during the EP process compared to conventional ozonation. These results suggest that regarding ARB inactivation and ARG degradation, the decrease of O 3 exposures cannot be fully compensated by the increase of •OH exposures during the EP process. However, due to the increase of •OH exposure, plasmid DNA was more thoroughly cleaved to shorter fragments during the EP process than conventional ozonation, which may decrease the risks of natural transformation of ARGs in the treated water. The results of this study highlight that the influence of the EP process on ARB and ARGs inactivation needs to be taken into account when implementing this process to enhance micropollutant abatement in water treatment. © 2022, The Authors. All rights reserved.

关键词： Ozone

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Removal of Antibiotic Resistant Bacteria and Plasmid-Encoded Antibiotic Resistance Genes in Groundwater by Ozonation and Electro-Peroxone Process

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SSRN 2022年

The electro-peroxone (EP) process is an electricity-based oxidation process that electrochemically produces hydrogen peroxide (H2O2) during ozonation to drive the peroxone (O3/H2O2) process. Prior studies have shown that the EP process can substantially increase ozone-resistant contaminant degradation and reduce bromate generation during water treatment compared with ozonation alone. This study further compared the removal of antibiotic resistant bacteria (ARB) and plasmid-encoded antibiotic resistance genes (ARGs) during groundwater treatment by ozonation alone and the EP process. Owing to the H2O2-promoted ozone (O3) conversion to hydroxyl radicals (•OH), higher •OH exposures, but lower O3 exposures were obtained during the EP process than ozonation alone. This opposite change of O3 and •OH exposures decreases the efficiency of ARB inactivation and ARG degradation moderately during the EP process compared with single ozonation. These results suggest that regarding ARB inactivation and ARG degradation, the reduction of O3 exposures may not be fully counterbalanced by the rise of •OH exposures when changing ozonation to the EP process. However, due to the rise of •OH exposure, plasmid DNA was more thoroughly cleaved to shorter fragments during the EP process than single ozonation, which may decrease the risks of natural transformation of ARGs. These findings highlight that the influence of the EP process on ARB and ARG inactivation needs to be considered when implementing this process to enhance contaminant degradation in water treatment. © 2022, The Authors. All rights reserved.

关键词： Antibiotics

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Bulk Quantification and Molecular Characterization of Thermal Decomposition from the Thermal Desorption of Organic Aerosol

ACS ES&T Air

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ACS ES&T Air 2024年第7期1卷 628-636页

作者： Qingfeng Guo Wei Hu Min Hu Yujue Wang Song Guo Zhijun Wu Jing Zheng Limin Zeng State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering International Joint Laboratory for Regional Pollution Control Ministry of Education (IJRC) Peking University Beijing 100871 China Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin 300072 China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing 210044 China Key Laboratory of Marine Environment and Ecology Ministry of Education of China Ocean University of China Qingdao 266100 China

The thermal desorption (TD) technique has been widely employed to measure the molecular composition and volatility of organic aerosols through coupling to mass spectrometry. Although the impact of thermal decomposition on TD instruments has been discussed in the literature, its extent has not yet been quantified. Here, we quantify the decomposition of organic aerosol at the bulk level and qualitatively distinguish between compounds evaporating and decomposing at the molecular level through the combination of online thermodenuder aerosol mass spectrometer (TD-AMS), offline organic carbon/elemental carbon (OC/EC) analyzer, and ultra-high resolution mass spectrometer. Results show that up to 56% of organic mass in ambient aerosol decomposes at a desorption temperature lower than 180 °C, which means that large amounts of organics cannot be detected by TD-coupled instruments. Sulfur-containing compounds with larger molecular masses exhibit weaker thermal stability, making them more susceptible to thermal decomposition than other compounds not containing sulfur. This work provides a means to obtain quantitative and qualitative insights into the thermal decomposition of organic aerosol, which will aid in understanding secondary organic aerosol (SOA) formation and reducing the gap between SOA measurements and model simulations.

关键词： Aerosols Desorption Organic compounds Organic reactions Thermodynamic properties

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Polyethylene microplastics hamper aged biochar’s potential in mitigating greenhouse gas emissions

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Carbon Research 2025年第1期4卷 1-14页

作者： Chen, Yalan Wang, Zhibo Zhang, Anqi Li, Yang Sun, Ke Jiang, Chenrun Gunina, Anna Aloufi, Abeer S. Liang, Xinru Han, Zichen Xiao, Yue Zhang, Yunqian Du, Zhangliu Zhu, Shishu Kuzyakov, Yakov State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing100875 China College of Life Sciences Beijing Normal University Beijing100875 China Department of Urban Engineering Graduate School of Engineering The University of Tokyo Tokyo113-8656 Japan Agrarian and Technological Institute RUDN University Miklukho-Maklaya st. 6 Moscow117198 Russia Department of Biology College of Science Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia Beijing Key Laboratory of Biodiversity and Organic Farming College of Resources and Environmental Sciences China Agricultural University Beijing100193 China The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters Ministry of Education School of Environment and Energy South China University of Technology Guangzhou510006 China Department of Soil Science of Temperate Ecosystems Department of Agricultural Soil Science University of Goettingen Göttingen37077 Germany Moscow117198 Russia

While biochar effectively reduces greenhouse gas emissions, the coincident microplastics will alter these benefits. To assess the long-term efficacy of biochar application in reducing emissions amidst microplastic interference, we investigated the interactive effects of polyethylene microplastics (1%–5% wt) and decadal biochar addition (aged biochar) on C and N stability in a Fluvic Cambisol. Aged biochar and polyethylene individually reduced CO2 emissions by 49% and 18%, respectively, over 91-day incubation. This was due to decreased soil aggregation, dissolved organic matter (DOM) content, and increased DOM aromaticity, which reduced microbial biomass and chitinase activity associated with soil organic matter (SOM) decomposition. This ultimately led to increased accumulation of microbial necromass carbon (MNC) to soil stable carbon pool. Interestingly, the coexistence of polyethylene diminished the efficacy of biochar in mitigating CO2 emissions (+ 44 ~ 82%) and stabilizing MNC (-18 ~ 23%). This was because the interaction between polyethylene and biochar facilitated macroaggregate formation and DOM accumulation and decreased DOM aromaticity, which increased microbial biomass and chitinase activity for SOM decomposition. Similar to soil C dynamics, aged biochar largely reduced N2O emissions by 54%, due to decreased nirK but increased nifH genes. Polyethylene increased N2O emissions by 5% and 25% in biochar-free and aged biochar soil, respectively, likely through upregulation of nirS and nirK but downregulating nifH gene expression. Thus, polyethylene microplastics may undermine the benefits of biochar in mitigating climate change, highlighting the necessity to recognize microplastics as a global change factor and to incorporate their role in elemental cycling alongside their global transport. Graphic Abstract: (Figure presented.) © The Author(s) 2025.

关键词： Greenhouse gas emissions

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Biodegradation of Tetracycline by Enriched Bacterial Consortia: Microbial Community Succession and Degradation Characteristics and Mechanism

SSRN

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SSRN 2022年

作者： Chen, Xiuli Ke, Yanchu Zhu, Ying Xu, Mingbang Chen, Chao Xie, Shuguang State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing100871 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China

Tetracycline (TC) is an emerging pollutant with poor biodegradability and persistent existence. Biodegradation has a tremendous potential for the clean-up of TC residues. In this study, two microbial consortia (named SL and SI) were respectively enriched from activated sludge and soil after more than three months of acclimation. Diversity dramatically decreased in these finally enriched consortia compared with the original microbiotas. Microbial compositions of the two consortia as revealed by 16S rRNA sequencing were similar to some extent, and the dominant genera Pseudomonas, Sphingobacterium, and Achromobacter were identified as the potential TC degraders. In addition, most ARGs quantified during the acclimation process became lower in the finally enriched microbial consortia. Consortia SL and SI were capable of efficiently biodegrading TC by 82.92% and 86.83% within 7 days, respectively. They could retain high degradation capabilities under a wide range of pH (4-10) and moderate/high temperatures (25–40 °C). Peptone with concentrations of 4-10 g/L could serve as a desirable primary growth substrate for consortia to remove TC through co-metabolism. A total of 16 possible intermediates including a novel biodegradation product TP245 were detected during TC degradation. Peroxidases and tetX-like genes as revealed by metagenomic sequencing were likely responsible for TC biodegradation. © 2022, The Authors. All rights reserved.

关键词： Biodegradation

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New Insights into the Inhibition Performance and Mechanisms of Sodium Dodecyl Benzene Sulfonate (Sdbs) on Nitrogen Removal in Activated Sludge-Biofilm System

SSRN

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SSRN 2024年

作者： Qu, Yanhui Huang, Xiao Dong, Wenyi Zhang, Shuai Zhou, Guorun Zheng, Zhihao Teng, Xindong 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 Nanjing210044 China Shenzhen518055 China

To investigate the effect of sodium dodecyl benzene sulfonate (SDBS), a common constituent in electroplating wastewater, on nitrogen (N) removal performance and biological mechanism, a gradient of SDBS concentrations was introduced into a set of sequencing batch biofilm reactors (SBBRs). Analytical outcomes indicated a negative correlation between SDBS levels, ranging from 0 to 5 mg L-1, and the removal efficiencies of key pollutants: chemical oxygen demand (COD), ammonia nitrogen (NH4+-N), and nitrate nitrogen (NO3-N), which exhibited the maximum average declines of 11.83%, 12.15%, and 8.11%, respectively. Despite shifts in operational conditions, Proteobacteria, Patescibacteria, and Actinobacteria remained dominant within the microbial community. Moreover, the presence of SDBS led to a suppression of key genes and enzymes in the N and Tricarboxylic acid (TCA) cycles, thus impinging upon the generation of electron donors. This study provides a nuanced understanding of the effect of SDBS on the N removal efficacy of activated sludge-biofilm systems, as well as crucial insights into the adaptive responses of microbial communities to SDBS exposure. © 2024, The Authors. All rights reserved.

关键词： Microorganisms

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simulation and Optimization of Comprehensive 4e-Assessments of Carbon Dioxide Capture of Flue Gas by Water-Lean Solvent

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SSRN 2023年

作者： Zhan, Guoxiong Yuan, Bingling Bai, Yongfeng Duan, Yuanmeng Chen, Zhen Chen, Jianjun Li, Junhua State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Department of Chemical and Biochemical Engineering Technical University of Denmark Kgs. Lyngby2800 Denmark

Amine-based chemisorption technology with water-lean solvent is a promising route towards low-cost CO2 capture. This paper proposes a process simulation and optimization strategy for CO2-rich solvent to reduce external steam consumption and increase the energy efficiency by split-flow heat exchange. Optimized water-lean amine-based solvent, composed of blend amines and physical solvent, was employed and its CO2 capture performance analyzed for a bench-scale continuous system. A rigorously validated process simulation method is proposed for operational optimization and comprehensive economic, exergy, environment, energy (4E) analysis of the capture process on an industrial scale. The experimental and simulation results indicated that the optimal ratio of split-flow was 0.55-0.70, with this ratio resulting in the reflux temperature increasing from 90 to 110 °C. The proportion of total energy duty that went to reaction heat was increased to 79.6% from 61% in the benchmark case;this increase was ascribed to the synergistic promotion of physical solvent and split-flow heat exchange configuration. The water-lean solvent could operate at a regeneration duty of 2.07 GJ/t CO2 with a total capture cost of US $50.40/t CO2 (27% lower than the benchmark value) from coal-fired flue gas. In summary, the net CO2 reduction can be increased by 28%, taking the utility heat-cold consumption into account. This research indicates a feasible method of taking full advantage of water-lean solvent to achieve efficient CO2 capture. © 2023, The Authors. All rights reserved.

关键词： Energy utilization

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Cadmium distribution and availability in different particle-size aggregates of post-harvest paddy soil amended with bio-based materials

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Science of the Total environment 2024年 957卷 177739页

作者： Luo, Huilong Chen, Juan Yang, Bin Li, Yake Wang, Panpan Yu, Jingjing Yuan, Bei Zhang, Yunhui Ren, Jie Du, Ping Li, Fasheng State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Institute of Resources and Environment Beijing Academy of Science and Technology Beijing100089 China Technical Center for Soil Agriculture and Rural Ecology and Environment Ministry of Ecology and Environment Beijing100012 China State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing100875 China Inner Mongolia Key Laboratory of Environmental Pollution Control and Waste Resource Recycle School of Ecology and Environment Inner Mongolia University Hohhot010021 China

Research on the use of organic materials as soil amendments for the remediation of Cd-contaminated agricultural land exists. However, the mechanisms based on which organic materials affect the distribution and availability of Cd in soil aggregates remain unclear. Here, Cd-contaminated paddy soil and different bio-based materials were used for rice pot experiments. Rhizosphere soils were separated into six particle sizes. Cd fractions were analyzed with BCR sequential extraction and specific functional groups associated with Cd were characterized using XPS. We found that bio-based materials promoted the formation of large aggregates to different extents. Cd tended to be enriched in fine- and coarse-grained soil particles, which is mainly related to the soil organic matter. Bio-based materials reduced the relative content of the weak-acid extractable fraction and increased the relative content of the reducible fraction, resulting in soil Cd immobilization. Soil dissolved organic matter (DOM) was the key factor affecting the distribution and availability of Cd in soil aggregates and different organic matter and Cd-binding functional groups in aggregates altered the Cd availability in soil. The results provide insight and guidance for understanding the cadmium immobilization mechanism and screening appropriate materials in the remediation of agricultural land. © 2024 Elsevier B.V.

关键词： Bio-based amendment Cd availability Cd immobilization mechanism Geochemical speciation Particle-size fractions Soil aggregate

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Enhancing the Efficiency of Enterprise Shutdowns for environmental Protection:An Agent-Based Modeling Approach with High Spatial–Temporal Resolution Data

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Engineering 2024年第11期42卷 295-307页

作者： Qi Zhou Shen Qu Miaomiao Liu Jianxun Yang Jia Zhou Yunlei She Zhouyi Liu Jun Bi School of Management and Economics Beijing Institute of TechnologyBeijing 100081China Center for Energy and Environmental Policy Research Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjing 210023China The Center of Enterprise Green Governance Chinese Academy of Environmental PlanningBeijing 100012China State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation Chinese Academy of Environmental PlanningBeijing 100012China

Top-down environmental policies aim to mitigate environmental risks but inevitably lead to economic losses due to the market entry or exit of *** study developed a universal dynamic agent-based supply chain model to achieve tradeoffs between environmental risk reduction and economic *** model was used to conduct high-resolution daily simulations of the dynamic shifts in enterprise operations and their cascading effects on supply chain *** includes production,con-sumption,and transportation agents,attributing economic features to supply chain components and cap-turing their *** also accounts for adaptive responses to daily external shocks and replicates realistic firm *** coupling high spatial-temporal resolution firm-level data from 18916 chemical enterprises,this study investigates the economic and environmental impacts of an environmen-tal policy resulting in the closure of 1800 chemical enterprises over three *** results revealed a significant economic loss of 25.8 billion USD,ranging from 23.8 billion to 31.8 billion ***,over 80%of this loss was attributed to supply chain *** analyses indicated that imple-menting a staggered shutdown strategy prevented 18.8%of supply chain losses,highlighting the impor-tance of a gradual policy implementation to prevent abrupt supply chain ***,the study highlights the effectiveness of a multi-objective policy design in reducing economic losses(about 29%)and environmental risks(about 40%),substantially enhancing the efficiency of the environmental *** high-resolution simulations provide valuable insights for policy designers to formulate strategies with staggered implementation and multiple objectives to mitigate supply chain losses and environmental risks and ensure a sustainable future.

关键词： Agent-based model Supply chain network Economic sustainability environmental policy

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Fish forewarning of comprehensive toxicity in water environment based on Bayesian sequential method

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Journal of environmental Sciences 2021年第12期33卷 150-159页

作者： Kaifeng Rao Li Tang Xin Zhang Heyu Xiang Liang Tang Yong Liu Wei Wang Jie Jiang Mei Ma Yiping Xu Zijian Wang State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Shenzhen Monitoring Centre of Ecology and Environment Shenzhen 518049China Department of Basic Courses Beijing Union UniversityBeijing 100101China Faculty of Mathematics and Statistics Hubei UniversityWuhan 430062China CASA(Wuxi)Environmental Technology Co.Ltd. Wuxi 214024China College of Resources and Environment University of Chinese Academy of SciencesBeijing 101407China

environmental impact of pollutants can be analyzed effectively by acquiring fish behavioral signals in water with biological behavior sensors. However, a variety of factors, such as the complexity of biological organisms themselves, the device error and the environmental noise, may compromise the accuracy and timeliness of model predictions. The current methods lack prior knowledge about the fish behavioral signals corresponding to characteristic pollutants, and in the event of a pollutant invasion, the fish behavioral signals are poorly discriminated. Therefore, we propose a novel method based on Bayesian sequential,which utilizes multi-channel prior knowledge to calculate the outlier sequence based on wavelet feature followed by calculating the anomaly probability of observed values. Furthermore, the relationship between the anomaly probability and toxicity is analyzed in order to achieve forewarning effectively. At last, our algorithm for fish toxicity detection is verified by integrating the data on laboratory acceptance of characteristic pollutants. The results show that only one false positive occurred in the six experiments, the present algorithm is effective in suppressing false positives and negatives, which increases the reliability of toxicity detections, and thereby has certain applicability and universality in engineering applications.

关键词： Bayesian sequential method Fish electrical signal Outlier detection Anomaly probability Time series forecasting

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