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Zhu S, Xiao Y, Xia L, Li J, Lei S, Liu J, Liu L. Occurrence, spatiotemporal distribution, and health risk of antibiotics in the Wuhan section of the Yangtze River, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:64152-64170. [PMID: 39531106 DOI: 10.1007/s11356-024-35513-x] [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: 07/24/2024] [Accepted: 11/01/2024] [Indexed: 11/16/2024]
Abstract
The occurrence, spatiotemporal changes, and health hazard of antibiotics in source water and finished water in the Wuhan section of the Yangtze River are not well understood. In this study, 43 source water and finished water samples were collected from 11 water plants in Wuhan in August 2021 and May 2022. Fifty-one antibiotics from eight categories were measured. A total of 41 antibiotics were detected in the source water samples, and 24 in the finished water samples. The total antibiotic concentration in source water ranged from 1.68 to 437.18 ng/L, which is significantly higher than that in finished water (2.04-87.25 ng/L). Sulfonamides and lincosamides were predominant, accounting for nearly 80% of the total antibiotic concentration. Lincomycin constituted nearly 30% of the total antibiotic concentration in the source water. In August 2021, the average total antibiotic concentration in source water was 107.12 ng/L, higher than in May 2022 (63.13 ng/L). Spatially, the total antibiotic concentrations in samples collected from the Han River, a tributary of the Yangtze River, were higher than those in the main stream of the Yangtze River. Ecological risk assessment indicated that the hazard posed by most antibiotics were negligible. Lincomycin potentially posed a high health hazard, and clarithromycin and roxithromycin posed a moderate hazard to infants.
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Affiliation(s)
- Sijia Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Yonghua Xiao
- Wuhan Centers for Disease Prevention and Control, Wuhan, Hubei, 430024, People's Republic of China
| | - Lu Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Jia Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Shengxi Lei
- Wuhan Britain-China School, Wuhan, Hubei, 430030, People's Republic of China
| | - Junling Liu
- Wuhan Centers for Disease Prevention and Control, Wuhan, Hubei, 430024, People's Republic of China
| | - Li Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China.
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Hain E, Adejumo H, Anger B, Orenstein J, Blaney L. Advances in antimicrobial activity analysis of fluoroquinolone, macrolide, sulfonamide, and tetracycline antibiotics for environmental applications through improved bacteria selection. JOURNAL OF HAZARDOUS MATERIALS 2021; 415:125686. [PMID: 34088184 DOI: 10.1016/j.jhazmat.2021.125686] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 02/13/2021] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
The widespread use of antibiotics has led to their ubiquitous presence in water and wastewater and raised concerns about antimicrobial resistance. Clinical antibiotic susceptibility assays have been repurposed to measure removal of antimicrobial activity during water and wastewater treatment processes. The corresponding protocols have mainly employed growth inhibition of Escherichia coli. The present work focused on optimizing bacteria selection to improve the sensitivity of residual antimicrobial activity measurements by broth microdilution assays. Thirteen antibiotics from four classes (i.e., fluoroquinolones, macrolides, sulfonamides, tetracyclines) were investigated against three gram-negative organisms, namely E. coli, Mycoplasma microti, and Pseudomonas fluorescens. The minimum inhibitory concentration (MIC) and half-maximal inhibitory concentration (IC50) were calculated for each antibiotic-bacteria pair. P. fluorescens produces a fluorescent siderophore, pyoverdine, that was used to assess sublethal effects and further enhance the sensitivity of antimicrobial activity measurements. The optimal antibiotic-bacteria pairs were as follows: fluoroquinolone-E. coli (growth inhibition); macrolide- and sulfonamide-M. microti (growth inhibition); and, tetracycline-P. fluorescens (pyoverdine inhibition). Compared to E. coli growth inhibition, the sensitivity of antimicrobial activity analysis was improved by up to 728, 19, and 2.7 times for macrolides (tylosin), sulfonamides (sulfamethoxazole), and tetracyclines (chlortetracycline), facilitating application of these bioassays at environmentally-relevant conditions.
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Affiliation(s)
- Ethan Hain
- University of Maryland Baltimore County, Department of Chemical, Biochemical, and Environmental Engineering, 1000 Hilltop Circle, Engineering 314, Baltimore, MD 21250, USA
| | - Hollie Adejumo
- University of Maryland Baltimore County, Department of Chemical, Biochemical, and Environmental Engineering, 1000 Hilltop Circle, Engineering 314, Baltimore, MD 21250, USA; University of Michigan, Department of Civil and Environmental Engineering, 2350 Hayward Street, 2105 GG Brown Building, Ann Arbor, MI 48109-2125, USA
| | - Bridget Anger
- University of Maryland Baltimore County, Department of Chemical, Biochemical, and Environmental Engineering, 1000 Hilltop Circle, Engineering 314, Baltimore, MD 21250, USA
| | - Joseph Orenstein
- University of Maryland Baltimore County, Department of Chemical, Biochemical, and Environmental Engineering, 1000 Hilltop Circle, Engineering 314, Baltimore, MD 21250, USA
| | - Lee Blaney
- University of Maryland Baltimore County, Department of Chemical, Biochemical, and Environmental Engineering, 1000 Hilltop Circle, Engineering 314, Baltimore, MD 21250, USA.
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Tang J, Sun J, Wang W, Yang L, Xu Y. Pharmaceuticals in two watersheds in Eastern China and their ecological risks. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 277:116773. [PMID: 33640818 DOI: 10.1016/j.envpol.2021.116773] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 02/14/2021] [Accepted: 02/15/2021] [Indexed: 06/12/2023]
Abstract
Pharmaceuticals are of increasing environmental concern due to their potential threat to aquatic ecosystems. Intensive human activities are a major factor influencing the level of pharmaceutical pollution in aquatic ecosystems. In this study, we investigated the occurrence, ecological risks of 31 pharmaceuticals and the possible influence of human activities on pharmaceutical distribution in two watersheds in the Yangtze River Delta, Eastern China. The target compounds were grouped into six categories: three non-steroidal anti-inflammatory drugs, ten antibiotics, six cardiovascular drugs, five hormones, six psychotropic drugs, and one antiparasitic. All target pharmaceuticals were detected in the surface water samples, with dexamethasone (100% of samples), tetracycline (100% of samples), and cefradine (100% of samples) being the dominant compounds (maximum concentrations of 686, 128, and 2280 ng/L, respectively). The total pharmaceutical concentrations were significantly higher in the urban watershed (711-2790 ng/L, mean = 1150 ng/L) than in the peri-urban watershed (467-1525 ng/L, mean = 863 ng/L) (p < 0.05). Distinct variation in the total pharmaceutical concentration also occurred between the dry season (507-2790 ng/L, mean = 1100 ng/L) and the wet season (467-1525 ng/L, mean = 943 ng/L). Ecological risk assessment showed that in the two watersheds, benzylpenicillin potassium, tetracycline hydrochloride, chlormadinone, ampicillin, cefotaxime acid, atorvastatin, sertraline hydrochloride, and oxazepam posed a medium potential risk (0.1 < risk quotient < 1), while norethisterone posed a high potential risk (risk quotient > 1). Redundancy analysis revealed that the concentrations of pharmaceuticals in various categories were positively correlated with land-use type (urban and agricultural land-use percentages), population density, and distance from town in both watersheds. Urban and agricultural activities were likely the main factors influencing the concentrations and composition of pharmaceuticals in these aquatic environments. Positive correlations were also found between total pharmaceutical concentrations and population density in both watersheds, suggesting a significant contribution of human disturbance to pharmaceutical pollution. The results provide useful information for pharmaceutical pollution control, ecological risk assessment, and sustainable water management at the watershed scale.
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Affiliation(s)
- Jianfeng Tang
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo Urban Environment Observation and Research Station, Chinese Academy of Sciences, Ningbo, 315800, China.
| | - Jing Sun
- College of Resources and Environment, Chengdu University of Information Technology, Chengdu, 610225, China
| | - Wendong Wang
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo Urban Environment Observation and Research Station, Chinese Academy of Sciences, Ningbo, 315800, China
| | - Lei Yang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Yaoyang Xu
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo Urban Environment Observation and Research Station, Chinese Academy of Sciences, Ningbo, 315800, China
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Zhao W, Yu G, Blaney L, Wang B. Development of emission factors to estimate discharge of typical pharmaceuticals and personal care products from wastewater treatment plants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 769:144556. [PMID: 33485210 DOI: 10.1016/j.scitotenv.2020.144556] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 11/30/2020] [Accepted: 12/13/2020] [Indexed: 06/12/2023]
Abstract
Due to the potential ecological and human health risks, pharmaceuticals and personal care products (PPCPs) are considered as contaminants of emerging concern. PPCPs can be discharged to the aquatic environment from various sources, including municipal wastewater treatment plants (WWTPs), animal feeding operations, hospitals, and pharmaceutical manufacturers. A major challenge to regional characterization of ecological and human health risks is identification of the environmental emissions of PPCPs. This study established a facile approach for calculation of PPCP emission factors from raw wastewater and wastewater effluent. Using reported concentrations from WWTPs, nine PPCPs, namely carbamazepine, ciprofloxacin, erythromycin, ibuprofen, ketoprofen, ofloxacin, sulfadiazine, sulfamethoxazole, and trimethoprim, were identified as priority contaminants based on environmental significance (i.e., high detection frequency and potential ecological risk) and data availability. Emission factors were calculated for the nine PPCPs in raw wastewater, secondary effluent, and tertiary effluent for low, medium and high emission scenarios according to the concentration distributions of these nine PPCPs. The emission factors were used to estimate the mass of the PPCPs discharged from the nine provinces and two municipalities of the Yangtze River valley. The total mass of the nine PPCPs emitted into the watershed was estimated as 3867 kg, 8808 kg and 21,464 kg for low, medium and high emission scenarios respectively in 2018. Although uncertainty is inevitable in the emission factors, the reported approach provides a viable alternative to top-down and multimedia fugacity estimation strategies that require an abundance of sewershed-, WWTP-, and compound-specific information that is difficult to collect in developing countries.
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Affiliation(s)
- Wenxing Zhao
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Gang Yu
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Research Institute for Environmental Innovation (Suzhou), Tsinghua, Building 16, 101 Business Park, No, 158 Jinfeng Road, New District, Suzhou 215163, China
| | - Lee Blaney
- Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, Baltimore, MD 21250, USA
| | - Bin Wang
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Research Institute for Environmental Innovation (Suzhou), Tsinghua, Building 16, 101 Business Park, No, 158 Jinfeng Road, New District, Suzhou 215163, China.
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Zhang Y, Duan L, Wang B, Liu CS, Jia Y, Zhai N, Blaney L, Yu G. Efficient multiresidue determination method for 168 pharmaceuticals and metabolites: Optimization and application to raw wastewater, wastewater effluent, and surface water in Beijing, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 261:114113. [PMID: 32044613 DOI: 10.1016/j.envpol.2020.114113] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 01/19/2020] [Accepted: 01/30/2020] [Indexed: 05/23/2023]
Abstract
New analytical methods are needed to efficiently measure the growing list of priority pharmaceuticals in environmental samples. In this regard, a rapid, sensitive, and robust method was developed for quantitation of 168 pharmaceuticals and pharmaceutical metabolites using solid-phase extraction (SPE) and liquid chromatography with tandem mass spectrometry. The extraction protocol and instrumental efficiency were specifically addressed to increase analytical workload and throughput. The optimized protocols, which are five times more efficient than US EPA Method 1694, enabled analyte recoveries that ranged from 77% to 117% for 162 analytes with method quantitation limits (MQLs) as low as 0.1 ng L-1. To verify the suitability of the improved analytical method for environmental samples, 24-h composite samples of raw wastewater and wastewater effluent, along with downstream surface water, were analyzed. Overall, 143/168 target compounds were identified in at least one of the samples, and 130/168 analytes were present at concentrations above their MQLs. The total mass concentration of the measured analytes decreased by 93% during wastewater treatment. The analyte concentrations in the wastewater effluent were comparable to those measured in surface water 1 km downstream of the wastewater discharge point. Ultimately, the comprehensive method will serve as an important tool to inform the occurrence, fate, transport, and toxicity of a large suite of priority pharmaceuticals and pharmaceutical metabolites in natural and engineered systems.
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Affiliation(s)
- Yizhe Zhang
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou, 215163, China
| | - Lei Duan
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Bin Wang
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou, 215163, China.
| | - Cristina Su Liu
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Yanbo Jia
- Shanghai AB Sciex Analytical Instrument Trading Co., Ltd Beijing Branch Company, Beijing, 100015, China
| | - Nannan Zhai
- Shanghai AB Sciex Analytical Instrument Trading Co., Ltd Beijing Branch Company, Beijing, 100015, China
| | - Lee Blaney
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; University of Maryland Baltimore County, Department of Chemical, Biochemical, and Environmental Engineering, 1000 Hilltop Circle, Baltimore, MD, 21250, United States
| | - Gang Yu
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou, 215163, China
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Nitrofurantoin-Microbial Degradation and Interactions with Environmental Bacterial Strains. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16091526. [PMID: 31052168 PMCID: PMC6539117 DOI: 10.3390/ijerph16091526] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 04/16/2019] [Accepted: 04/26/2019] [Indexed: 02/07/2023]
Abstract
The continuous exposure of living organisms and microorganisms to antibiotics that have increasingly been found in various environmental compartments may be perilous. One group of antibacterial agents that have an environmental impact that has been very scarcely studied is nitrofuran derivatives. Their representative is nitrofurantoin (NFT)-a synthetic, broad-spectrum antibiotic that is often overdosed. The main aims of the study were to: (a) isolate and characterize new microbial strains that are able to grow in the presence of NFT, (b) investigate the ability of isolates to decompose NFT, and (c) study the impact of NFT on microbial cell properties. As a result, five microbial species were isolated. A 24-h contact of bacteria with NFT provoked modifications in microbial cell properties. The greatest differences were observed in Sphingobacterium thalpophilum P3d, in which a decrease in both total and inner membrane permeability (from 86.7% to 48.3% and from 0.49 to 0.42 µM min-1) as well as an increase in cell surface hydrophobicity (from 28.3% to 39.7%) were observed. Nitrofurantoin removal by selected microbial cultures ranged from 50% to 90% in 28 days, depending on the bacterial strain. Although the isolates were able to decompose the pharmaceutical, its presence significantly affected the bacterial cells. Hence, the environmental impact of NFT should be investigated to a greater extent.
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