School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; Department of Civil Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China.
School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Ecotoxicol Environ Saf. 2022 Sep 15;243:114018. doi: 10.1016/j.ecoenv.2022.114018. Epub 2022 Aug 26.
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.
抗生素的暴露不仅会对水生生物产生生态毒性,还会导致抗生素耐药性的产生。在这项研究中,筛选了抗生素的生态毒性数据和最小抑菌浓度,以推导出中国淡水地表水 36 种抗生素的预测无效应浓度(PNEC)和耐药发展风险(PNEC)。推导得出的 PNEC 和 PNEC 值范围分别为 0.00175 至 2351μg/L 和 0.037 至 50μg/L。抗生素的生态和耐药发展风险在地理上广泛存在,尤其是在中国的永定河、大庆河和子牙河流域。根据风险商数,36 种目标抗生素中有 11 种和 14 种在至少一个流域具有高生态风险和高耐药发展风险。更高层次的评估通过概率值提供了更详细的风险描述,β-内酰胺类(青霉素和阿莫西林)在生态和耐药发展风险方面处于最高水平。尽管基于有限的数据和现有方法存在不确定性,但本研究可以说明现有风险水平的总体情况,并为抗生素管理提供必要的见解和数据支持。