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Zheng J, Liu H, Zhang J, Yu B. De Novo Biosynthesis of L-Azetidine-2-Carboxylic Acid in Escherichia coli Strains for Powdery Mildew Treatment. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024. [PMID: 39353152 DOI: 10.1021/acs.jafc.4c06730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2024]
Abstract
L-Azetidine-2-carboxylic acid (L-Aze), a natural nonproteinogenic amino acid found widely in plants, has recently been identified as an environmentally friendly agent for controlling powdery mildew with low toxicity. In this study, a biological route for L-Aze production via the methionine salvage pathway (Yang Cycle) was first in silico designed for Escherichia coli. Subsequently, systematic engineering strategies were employed to enhance the production efficiency, including the enhancement of the 5-phosphoribosyl 1-pyrophosphate (PRPP) supply, construction of the ATP-adenine cycle, and engineering of the strain's resistance to L-Aze. The final strain produced L-Aze from glucose with a titer of 568.5 mg/L. The antifungal activity of the produced L-Aze in the fermentation broth was also confirmed for treating powdery mildew in cucurbits. This approach not only provides a sustainable and green route for pesticide production to control powdery mildew but also expands our understanding of the exogenous construction of the Yang Cycle in E. coli.
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Affiliation(s)
- Jie Zheng
- Department of Microbial Physiological & Metabolic Engineering, State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongxiang Liu
- College of Chemistry & Pharmacy, Northwest A&F University, Yangling 712100, China
- Key Laboratory of Botanical Pesticide R&D in Shaanxi Province, Yangling 712100, China
| | - Jiwen Zhang
- College of Chemistry & Pharmacy, Northwest A&F University, Yangling 712100, China
- Key Laboratory of Botanical Pesticide R&D in Shaanxi Province, Yangling 712100, China
| | - Bo Yu
- Department of Microbial Physiological & Metabolic Engineering, State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
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Zhao J, Guo C, Yang Q, Liu W, Zhang H, Luo Y, Zhang Y, Wang L, Chen C, Xu J. Comprehensive monitoring and prioritizing for contaminants of emerging concern in the Upper Yangtze River, China: An integrated approach. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:135835. [PMID: 39276734 DOI: 10.1016/j.jhazmat.2024.135835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 09/06/2024] [Accepted: 09/12/2024] [Indexed: 09/17/2024]
Abstract
Contaminants of emerging concern (CECs) in aquatic environments can adversely impact ecosystems and human health even at low concentrations. This study assessed the risk of 162 CECs, including neonicotinoid pesticides, triazine pesticides, carbamate pesticides, psychoactive substances, organophosphate esters, antidepressants, per- and polyfluoroalkyl substances, and antibiotics in 10 drinking water sources and two tributaries (Jialing and Wujiang Rivers) of the Upper Yangtze River in Chongqing, China. Target screening detected 156 CECs at 0.01-2218.2 ng/L, while suspect screening via LC-QTOF-MS identified 64 CECs, with 13 pesticides, 29 pharmaceuticals and personal care products, and 2 industrial chemicals reported for the first time in the Yangtze River Basin. Risk quotient-based ecological risk assessment revealed that 48 CECs posed medium to high risks (RQ > 0.1) to aquatic life, with antibiotics (n = 20) as the main contributors. Non-carcinogenic risks were below negligible levels, but carcinogenic risks from neonicotinoids, triazines, antidepressants, and antibiotics were concerning. A multi-criteria prioritization approach integrating occurrence, physico-chemical properties, and toxicological data ranked 26 CECs as high priority. This study underscores the importance of comprehensive CEC screening in rivers and provides insights for future monitoring and management strategies.
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Affiliation(s)
- Jianglu Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Changsheng Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Queping Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; National Joint Research Center for Yangtze River Conservation, Beijing 100012, China
| | - Weiling Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; National Joint Research Center for Yangtze River Conservation, Beijing 100012, China
| | - Heng Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Ying Luo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Lei Wang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Chao Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jian Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
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Zhao J, Hou S, Zhang H, Sun S, Guo C, Zhang X, Song G, Xu J. Spatiotemporal variations and priority ranking of emerging contaminants in nanwan reservoir: A case study from the agricultural region in huaihe river basin in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 368:122195. [PMID: 39137638 DOI: 10.1016/j.jenvman.2024.122195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 08/08/2024] [Accepted: 08/09/2024] [Indexed: 08/15/2024]
Abstract
The presence of emerging contaminants (ECs) in drinking water sources is an increasing concern, yet limited data exists on their occurrence and risk in the upper Huaihe River Basin, an important agricultural region in Central China. This study investigated 70 ECs, including pesticide and antibiotics in surface water from drinking water source areas in Nanwan Reservoir along the upper reaches of the Huaihe River Basin to prioritize the ECs based on ecological risk and health risk assessment. A total of 66 ECs were detected in the surface water at least once at the selected 38 sampling sites, with concentrations ranging from 0.04 to 2508 ng/L. Ecological risk assessment using the risk quotient (RQ) method revealed high risks (RQ > 1) from 7 ECs in the dry season and 15 ECs in the wet season, with triazine pesticides as the main contributors. Non-carcinogenic risks were below negligible levels, but carcinogenic risks from neonicotinoid and carbamate pesticides and macrolide antibiotics were concerning for teenagers. Ciprofloxacin exhibited a high level of resistance risk during the wet season. A multi-indicator prioritization approach integrating occurrence, risk, and chemical property data ranked 6 pesticides and 3 antibiotics as priority pollutants. The results highlight EC contamination of drinking water sources in this agriculturally-intensive region and the need for targeted monitoring and management to protect water quality.
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Affiliation(s)
- Jianglu Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Song Hou
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Heng Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Shanwei Sun
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Changsheng Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
| | - Xuezhi Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Gangfu Song
- School of Environmental and Municipal Engineering, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China
| | - Jian Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
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Liao L, Sun T, Gao Z, Lin J, Gao M, Li A, Gao T, Gao Z. Neonicotinoids as emerging contaminants in China's environment: a review of current data. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:51098-51113. [PMID: 39110283 DOI: 10.1007/s11356-024-34571-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/24/2024] [Indexed: 09/06/2024]
Abstract
Neonicotinoids (NEOs), the most widely used class of insecticides, are pervasive in the environment, eliciting concerns due to their hydrophilicity, persistence, and potential ecological risks. As the leading pesticide consumer, China shows significant regional disparities in NEO contamination. This review explores NEO distribution, sources, and toxic risks across China. The primary NEO pollutants identified in environmental samples include imidacloprid, thiamethoxam, and acetamiprid. In the north, corn cultivation represents the principal source of NEOs during wet seasons, while rice dominates in the south year-round. The high concentration levels of NEOs have been detected in the aquatic environment in the southern regions (130.25 ng/L), the urban river Sects. (157.66 ng/L), and the downstream sections of the Yangtze River (58.9 ng/L), indicating that climate conditions and urban pollution emissions are important drivers of water pollution. Neonicotinoids were detected at higher levels in agricultural soils compared to other soil types, with southern agricultural areas showing higher concentrations (average 27.21 ng/g) than northern regions (average 12.77 ng/g). Atmospheric NEO levels were lower, with the highest concentration at 1560 pg/m3. The levels of total neonicotinoid pesticides in aquatic environments across China predominantly exceed the chronic toxicity ecological threshold of 35 ng/L, particularly in the regions of Beijing and the Qilu Lake Basin, where they likely exceed the acute toxicity ecological threshold of 200 ng/L. In the future, efforts should focus on neonicotinoid distribution in agriculturally developed regions of Southwest China, while also emphasizing their usage in urban greening and household settings.
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Affiliation(s)
- Lingzhi Liao
- Institute of Eco-Environmental Forensics, Shandong University, Qingdao, 266237, PR China
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, PR China
- Laboratory for Marine Ecology and Environmental Science, Laoshan Laboratory, Qingdao, 266237, PR China
| | - Ting Sun
- Institute of Eco-Environmental Forensics, Shandong University, Qingdao, 266237, PR China
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, PR China
| | - Zhenhui Gao
- Institute of Eco-Environmental Forensics, Shandong University, Qingdao, 266237, PR China
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, PR China
| | - Jianing Lin
- Institute of Eco-Environmental Forensics, Shandong University, Qingdao, 266237, PR China.
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, PR China.
| | - Meng Gao
- Institute of Eco-Environmental Forensics, Shandong University, Qingdao, 266237, PR China
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, PR China
| | - Ao Li
- Institute of Eco-Environmental Forensics, Shandong University, Qingdao, 266237, PR China
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, PR China
| | - Teng Gao
- Institute of Eco-Environmental Forensics, Shandong University, Qingdao, 266237, PR China
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, PR China
| | - Ziqin Gao
- Fuxin Experimental Middle School, Fuxin, 123099, PR China
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Zhu C, Yu Z, Chen Y, Pan Y, Yang R, Zhang Q, Jiang G. Distribution patterns and origins of organophosphate esters in soils from different climate systems on the Tibetan Plateau. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 351:124085. [PMID: 38697247 DOI: 10.1016/j.envpol.2024.124085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/26/2024] [Accepted: 04/29/2024] [Indexed: 05/04/2024]
Abstract
Organophosphate esters (OPEs) are extensively applied in various materials as flame retardants and plasticizers, and have high biological toxicity. OPEs are detected worldwide, even in distant polar regions and the Tibetan Plateau (TP). However, few studies have been performed to evaluate the distribution patterns and origins of OPEs in different climate systems on the TP. This study investigated the distribution characteristics, possible sources, and ecological risks of OPEs in soils from the different climate systems on the TP and its surroundings. The total concentrations of OPEs in soil varied from 468 to 17,451 pg g-1 dry weight, with greater concentrations in southeast Tibet (monsoon zone), followed by Qinghai (transition zone) and, finally, southern Xingjiang (westerly zone). OPE composition profiles also differed among the three areas with tri-n-butyl phosphate dominant in the westerly zone and tris(2-butoxyethyl) phosphate dominant in the Indian monsoon zone. Correlations between different compounds and altitude, soil organic carbon, or longitude varied in different climate zones, indicating that OPE distribution originates from both long-range atmospheric transport and local emissions. Ecological risk assessment showed that tris(2-chloroethyl) phosphate and tri-phenyl phosphate exhibited medium risks in soil at several sites in southeast Tibet. Considering the sensitivity and vulnerability of TP ecosystems to anthropogenic pollutants, the ecological risks potentially caused by OPEs in this region should be further assessed.
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Affiliation(s)
- Chengcheng Zhu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhigang Yu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China
| | - Yifan Chen
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China
| | - Yiyao Pan
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ruiqiang Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Qinghua Zhang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
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Marumure J, Simbanegavi TT, Makuvara Z, Karidzagundi R, Alufasi R, Goredema M, Gufe C, Chaukura N, Halabowski D, Gwenzi W. Emerging organic contaminants in drinking water systems: Human intake, emerging health risks, and future research directions. CHEMOSPHERE 2024; 356:141699. [PMID: 38554874 DOI: 10.1016/j.chemosphere.2024.141699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/24/2024] [Accepted: 03/11/2024] [Indexed: 04/02/2024]
Abstract
Few earlier reviews on emerging organic contaminants (EOCs) in drinking water systems (DWS) focused on their detection, behaviour, removal and fate. Reviews on multiple exposure pathways, human intake estimates, and health risks including toxicokinetics, and toxicodynamics of EOCs in DWS are scarce. This review presents recent advances in human intake and health risks of EOCs in DWS. First, an overview of the evidence showing that DWS harbours a wide range of EOCs is presented. Multiple human exposure to EOCs occurs via ingestion of drinking water and beverages, inhalation and dermal pathways are discussed. A potential novel exposure may occur via the intravenous route in dialysis fluids. Analysis of global data on pharmaceutical pollution in rivers showed that the cumulative concentrations (μg L-1) of pharmaceuticals (mean ± standard error of the mean) were statistically more than two times significantly higher (p = 0.011) in South America (11.68 ± 5.29), Asia (9.97 ± 3.33), Africa (9.48 ± 2.81) and East Europe (8.09 ± 4.35) than in high-income regions (2.58 ± 0.48). Maximum cumulative concentrations of pharmaceuticals (μg L-1) decreased in the order; Asia (70.7) had the highest value followed by South America (68.8), Africa (51.3), East Europe (32.0) and high-income regions (17.1) had the least concentration. The corresponding human intake via ingestion of untreated river water was also significantly higher in low- and middle-income regions than in their high-income counterparts. For each region, the daily intake of pharmaceuticals was highest in infants, followed by children and then adults. A critique of the human health hazards, including toxicokinetics and toxicodynamics of EOCs is presented. Emerging health hazards of EOCs in DWS include; (1) long-term latent and intergenerational effects, (2) the interactive health effects of EOC mixtures, (3) the challenges of multifinality and equifinality, and (4) the Developmental Origins of Health and Disease hypothesis. Finally, research needs on human health hazards of EOCs in DWS are presented.
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Affiliation(s)
- Jerikias Marumure
- Department of Physics, Geography and Environmental Science, School of Natural Sciences, Great Zimbabwe University, Masvingo, Zimbabwe; Department of Life and Consumer Sciences, School of Agriculture and Life Sciences, College of Agriculture and Environmental Sciences, University of South Africa, South Africa
| | - Tinoziva T Simbanegavi
- Department of Soil Science and Environment, Faculty of Agriculture, Environment, and Food Systems, University of Zimbabwe, P. O. Box MP 167, Mount Pleasant, Harare, Zimbabwe
| | - Zakio Makuvara
- Department of Physics, Geography and Environmental Science, School of Natural Sciences, Great Zimbabwe University, Masvingo, Zimbabwe; Department of Life and Consumer Sciences, School of Agriculture and Life Sciences, College of Agriculture and Environmental Sciences, University of South Africa, South Africa
| | - Rangarirayi Karidzagundi
- Materials Development Unit, Zimbabwe Open University, P.O. Box MP1119 Mount Pleasant, Harare, Zimbabwe
| | - Richwell Alufasi
- Biological Sciences Department, Bindura University of Science Education, 741 Chimurenga Road, Off Trojan Road, P. Bag 1020, Bindura, Zimbabwe
| | - Marvelous Goredema
- Biological Sciences Department, Bindura University of Science Education, 741 Chimurenga Road, Off Trojan Road, P. Bag 1020, Bindura, Zimbabwe
| | - Claudious Gufe
- Department of Veterinary Technical Services, Central Veterinary Laboratories, Box CY55, 18A Borrowdale Road, Harare, Zimbabwe
| | - Nhamo Chaukura
- Department of Physical and Earth Sciences, Sol Plaatje University, Kimberley, 8301, South Africa
| | - Dariusz Halabowski
- University of Lodz, Faculty of Biology and Environmental Protection, Department of Ecology and Vertebrate Zoology, Lodz, Poland
| | - Willis Gwenzi
- Currently: Biosystems and Environmental Engineering Research Group, 380, New Adylin, Westgate, Harare, Zimbabwe; Formerly: Alexander von Humboldt Fellow & Guest/Visiting Professor, Grassland Science and Renewable Plant Resources, Faculty of Organic Agricultural Sciences, Universität Kassel, Steinstraße 19, D-37213, Witzenhausen, Germany; Formerly: Alexander von Humboldt Fellow and Guest Professor, Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB), Max-Eyth-Allee 100, D-14469 Potsdam, Germany.
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Chen M, Hong Y, Jin X, Guo C, Zhao X, Liu N, Lu H, Liu Y, Xu J. Ranking the risks of eighty pharmaceuticals in surface water of a megacity: A multilevel optimization strategy. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:163184. [PMID: 37001676 DOI: 10.1016/j.scitotenv.2023.163184] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 03/01/2023] [Accepted: 03/27/2023] [Indexed: 05/13/2023]
Abstract
Pharmaceuticals in freshwater posed ecological risks to aquatic ecosystem, however, most risk assessments of pharmaceuticals were conducted at screening level, which were limited by the availability of the toxicity data. In this study, risks of 80 pharmaceuticals including 35 antibiotics, 13 antiviral drugs, 13 illicit drugs, and 19 antidepressants in surface water of Beijing were assessed with a proposed multilevel environmental risk optimization strategy. Target pharmaceuticals were detected in surface water samples with the detection frequency from 1.7 % to 100 % and the total concentrations from 31.1 ng/L to 2708 ng/L. Antiviral drugs were the dominant pharmaceuticals. Preliminary screening-level risk assessment indicated that 20 pharmaceuticals posed low to high risks with risk quotient from 0.14 (chloroquine diphosphate) to 27.8 (clarithromycin). Thirteen pharmaceuticals were recognized with low to high risks by an optimized risk assessment method. Of them, the refined probabilistic risk assessment of joint probability curves coupling with a quantitative structure activity relationship-interspecies correlation estimation (QSAR-ICE) model was applied. Clarithromycin, erythromycin and ofloxacin were identified to pose low risks with maximum risk products (RP) of 1.23 %, 0.41 % and 0.35 %, respectively, while 10 pharmaceuticals posed de minimis risks. Structural equation modeling disclosed that human land use and climate conditions influenced the risks of pharmaceuticals by indirectly influencing the concentrations of pharmaceuticals. The results indicated that the multilevel strategy coupling with QSAR-ICE model was appropriate and effective for screening priority pollutants, and the strategy can be used to prioritize pharmaceuticals and other emerging contaminants in the aquatic environment.
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Affiliation(s)
- Miao Chen
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Yajun Hong
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; School of Chemical and Environmental Engineering, Anhui Polytechnic University, Wuhu 241000, China
| | - Xiaowei Jin
- China National Environmental Monitoring Centre, Beijing 100012, China.
| | - Changsheng Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Xu Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; China National Environmental Monitoring Centre, Beijing 100012, China
| | - Na Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Haijian Lu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yang Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jian Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
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