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基于各种毒性终点及相关风险推导布洛芬和磺胺甲恶唑的水生生物预测无效应浓度(PNEC)

Derivation of aquatic predicted no-effect concentration (PNEC) for ibuprofen and sulfamethoxazole based on various toxicity endpoints and the associated risks.

作者信息

Huang Qiusen, Bu Qingwei, Zhong Wenjue, Shi Kaichong, Cao Zhiguo, Yu Gang

机构信息

School of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing 100083, PR China; Key Laboratory of Water and Sediment Sciences of Ministry of Education, College of Water Sciences, Beijing Normal University, Beijing 100875, PR China.

School of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing 100083, PR China; School of Environment, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing Key Laboratory for Emerging Organic Contaminants Control, Tsinghua University, Beijing 100084, PR China.

出版信息

Chemosphere. 2018 Feb;193:223-229. doi: 10.1016/j.chemosphere.2017.11.029. Epub 2017 Nov 8.

Abstract

For pharmaceuticals, the ecological risk assessment based on traditional endpoints of toxicity could not be properly protective in the long run since the mode of action could vary because they are intended for different therapeutic uses. In this study, the predicted no-effect concentrations (PNECs) of two selected pharmaceuticals, ibuprofen (IBU) and sulfamethoxazole (SMX), were derived based on either traditional endpoints of survival and growth data or some nonlethal endpoints such as reproduction, biochemical and molecular data. The PNECs of IBU based on biochemical-cellular and reproduction data were 0.018 and 0.026 μg L that were significantly lower than those derived from other endpoints, while the lowest PNEC for SMX derived from growth data with the concentration of 0.89 μg L. Ecological risk assessment was performed for IBU and SMX to the aquatic environment by applying hazard quotient and probabilistic distribution based quotient (DBQs) methods. The results showed that the probability of DBQs of IBU exceeding 0.1 was 11.2%, while for SMX the probability was 0.9% that could be neglected.

摘要

对于药物而言,从长远来看,基于传统毒性终点的生态风险评估可能无法提供充分的保护,因为其作用方式可能因药物的不同治疗用途而有所差异。在本研究中,两种选定药物布洛芬(IBU)和磺胺甲恶唑(SMX)的预测无效应浓度(PNECs)是基于生存和生长数据的传统终点或者一些非致死终点(如繁殖、生化和分子数据)得出的。基于生化细胞和繁殖数据得出的IBU的PNECs分别为0.018和0.026μg/L,显著低于从其他终点得出的数值,而SMX基于生长数据得出的最低PNEC为0.89μg/L。通过应用危险商数和基于概率分布的商数(DBQs)方法,对IBU和SMX对水生环境进行了生态风险评估。结果表明,IBU的DBQs超过0.1的概率为11.2%,而SMX的这一概率为0.9%,可忽略不计。

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