巴西地表水中药物混合物的优先级排序和环境风险评估。

Prioritization and environmental risk assessment of pharmaceuticals mixtures from Brazilian surface waters.

机构信息

Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; Federal Institute of Education, Science and Technology of South of Minas Gerais -IFSULDEMINAS, Inconfidentes, Minas, Gerais, Brazil.

Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; Department of Chemical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

出版信息

Environ Pollut. 2021 Nov 1;288:117803. doi: 10.1016/j.envpol.2021.117803. Epub 2021 Jul 19.

Abstract

The present study provides an environmental risk assessment of the pharmaceutical mixtures detected in Brazilian surface waters, based on Toxic Units and Risk Quotients. Furthermore, the applicability of a previously proposed prioritization methodology was evaluated. The pharmaceuticals were classified according to their properties (occurrence, persistence, bioaccumulation, and toxicity) and the contribution of the prioritized compounds to the mixture risk was determined. The mixture risk quotients, based on acute and chronic toxicity data, often exceed 1, demonstrating a potential risk for the environment. While algae were most affected by acute effects, fish were the most sensitive organism to sublethal effects. The lipid regulator atorvastatin was the main driver for the mixture risk. Despite their lower occurrence, the antibiotics norfloxacin and enrofloxacin were critical compounds for the algae group. The prioritized pharmaceuticals contributed to more than 75% of the mixture risk in most of cases, indicating the applicability of prioritization approaches for risk management.

摘要

本研究基于毒性单位和风险商数,对巴西地表水检测到的药物混合物进行环境风险评估。此外,还评估了先前提出的优先级排序方法的适用性。根据药物的特性(出现、持久性、生物累积性和毒性)对药物进行分类,并确定优先化合物对混合物风险的贡献。基于急性和慢性毒性数据的混合物风险商数经常超过 1,表明对环境存在潜在风险。藻类对急性影响最敏感,而鱼类对亚致死影响最敏感。脂质调节剂阿托伐他汀是混合物风险的主要驱动因素。尽管它们的出现频率较低,但抗生素诺氟沙星和恩诺沙星对藻类群体是关键化合物。在大多数情况下,优先药物对混合物风险的贡献率超过 75%,表明优先级排序方法在风险管理中的适用性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索