A tiered probabilistic approach to assess antibiotic ecological and resistance development risks in the fresh surface waters of China.
A tiered probabilistic approach to assess antibiotic ecological and resistance development risks in the fresh surface waters of China.
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DOI：
10.1016/j.ecoenv.2022.114018
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发表时间：
2022-08
影响因子：
6.8
通讯作者：
Jiawei Zhang;Hui Ge;Jianghong Shi;Huanyu Tao;Bin Li;Xiangyi Yu;Mengtao Zhang;Zonglin Xu
中科院分区：
文献类型：
--
作者：
Jiawei Zhang;Hui Ge;Jianghong Shi;Huanyu Tao;Bin Li;Xiangyi Yu;Mengtao Zhang;Zonglin Xu
接触抗生素不仅会对水生生物产生生态毒性，还会产生抗生素耐药性。本研究筛选了36种抗生素的生态毒性数据和最低抑菌浓度，并以此为基础推导了36种抗生素在中国表层淡水沃茨中的预测无效应生态风险浓度（PNECeco）和预测耐药性发展风险浓度（PNECres）。推导的PNECco和PNECres值分别为0.00175 - 2351 μg/L和0.037-50 μg/L。抗生素生态和耐药性发展风险在地理上广泛存在，特别是在中国的永定河、大清河和子牙河流域。基于风险因子，36种目标抗生素中的11种和14种分别在至少一个流域中处于高生态风险和高耐药性发展风险。更高级别的评估提供了更详细的概率值风险描述，β-内酰胺类（青霉素和阿莫西林）的生态和耐药性发展风险水平最高。尽管基于有限的数据和现有方法存在不确定性，但本研究可以表明现有风险水平的总体情况，并提供支持抗生素管理的重要见解和数据。
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 (PNECeco) and resistance development risks (PNECres) for 36 antibiotics in fresh surface waters of China. The derived PNECecoand PNECresvalues 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.