中国
抗性(生态学)
环境科学
抗生素耐药性
概率风险评估
生态学
概率逻辑
抗生素
生物
地理
微生物学
数学
统计
考古
作者
Jiawei Zhang,Hui Min Ge,Jianghong Shi,Huanyu Tao,Bin Li,Xiangyi Yu,Mengtao Zhang,Zonglin Xu,Ruijie Xiao,Xiaoyan Li
标识
DOI:10.1016/j.ecoenv.2022.114018
摘要
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 PNECeco and PNECres 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.
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