中文版 | English
Title

A tiered probabilistic approach to assess antibiotic ecological and resistance development risks in the fresh surface waters of China

Author
Corresponding AuthorShi,Jianghong
Publication Years
2022-09-15
DOI
Source Title
ISSN
0147-6513
EISSN
1090-2414
Volume243
Abstract
Exposure to antibiotics can result in not only ecotoxicity on aquatic organisms but also the development of antibiotic resistance. In the study, the ecotoxicity data and minimum inhibitory concentrations of the antibiotics were screened to derive predicted no-effect concentrations of ecological (PNEC) and resistance development risks (PNEC) for 36 antibiotics in fresh surface waters of China. The derived PNEC and PNEC values were ranged from 0.00175 to 2351 μg/L and 0.037–50 μg/L, respectively. Antibiotic ecological and resistance development risks were geographically widespread, especially in the Yongding River, Daqing River, and Ziya River basins of China. Based on the risk quotients, 11 and 14 of 36 target antibiotics were at high ecological risks and high resistance development risks in at least one basin, respectively. The higher tiered assessments provided more detailed risk descriptions by probability values and β-lactams (penicillin and amoxicillin) were present at the highest levels for ecological and resistance development risks. Although there was uncertainty based on the limited data and existing methods, this study can indicate the overall situation of the existing risk levels and provide essential insights and data supporting antibiotic management.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
National Natural Science Foundation of China[21976079];Science, Technology and Innovation Commission of Shenzhen Municipality[JCYJ20190809171201660];
WOS Research Area
Environmental Sciences & Ecology ; Toxicology
WOS Subject
Environmental Sciences ; Toxicology
WOS Accession No
WOS:000861051800006
Publisher
ESI Research Field
ENVIRONMENT/ECOLOGY
Scopus EID
2-s2.0-85136518894
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/395080
DepartmentSchool of Environmental Science and Engineering
Affiliation
1.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
2.Department of Civil Engineering,Faculty of Engineering,The University of Hong Kong,Hong Kong
3.Solid Waste and Chemicals Management Center of Ministry of Ecology and Environment,Beijing,100029,China
First Author AffilicationSchool of Environmental Science and Engineering
Corresponding Author AffilicationSchool of Environmental Science and Engineering
First Author's First AffilicationSchool of Environmental Science and Engineering
Recommended Citation
GB/T 7714
Zhang,Jiawei,Ge,Hui,Shi,Jianghong,et al. A tiered probabilistic approach to assess antibiotic ecological and resistance development risks in the fresh surface waters of China[J]. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,2022,243.
APA
Zhang,Jiawei.,Ge,Hui.,Shi,Jianghong.,Tao,Huanyu.,Li,Bin.,...&Li,Xiaoyan.(2022).A tiered probabilistic approach to assess antibiotic ecological and resistance development risks in the fresh surface waters of China.ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,243.
MLA
Zhang,Jiawei,et al."A tiered probabilistic approach to assess antibiotic ecological and resistance development risks in the fresh surface waters of China".ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 243(2022).
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