Suppr超能文献

饮用水源中抗生素的持久性、生物累积性、毒性和抗性 (PBTR) 风险评估框架。

The persistent, bioaccumulative, toxic, and resistance (PBTR) risk assessment framework of antibiotics in the drinking water sources.

机构信息

Key Laboratory of Pesticide Environmental Assessment and Pollution Control, Nanjing Institute of Environmental Science, Ministry of Ecology and Environment of the People's Republic of China, Nanjing, 210042, China.

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.

出版信息

J Environ Manage. 2023 Jan 15;326(Pt B):116776. doi: 10.1016/j.jenvman.2022.116776. Epub 2022 Nov 23.

Abstract

Antibiotics are emerging pollutants largely considered to have a lower risk based on persistent, bioaccumulative, toxic (PBT) risk assessments. However, an increasing number of studies have illustrated that antibiotics are responsible for the global increase in antimicrobial resistance (AMR), which suggests that the risk of antibiotics has been largely underestimated by using PBT risk assessment. Here, we designed an integrated innovation risk assessment framework of persistent, bioaccumulative, toxic, and resistance (PBTR) that accounts for antibiotic resistance to better represent the antibiotic environmental risk. This novel antibiotic risk assessment framework was further verified via application to 39 target antibiotics in the 23 drinking water sources of the lower Yangtze River (LYR), China, during the normal and flood seasons. In contrast with the PBT assessment, single toxicity assessment and single resistance assessment, in the PBTR assessment, 7 of 39 target antibiotics with bacterial insensitivity were observed to represent a more prominent risk, as were the sites sampled during the flood season with low concentrations but high pollution loads, which confirmed that the sensitivity of PBTR risk assessment was instructive. The PBTR risk assessment for the screened priority antibiotics contributes not only representative data but also an innovative approach for identifying resistance risks. Using the positive matrix factorization (PMF) model, the sources of priority antibiotics can be predicted and thus supported the corresponding policy. Overall, this study first constructed a PBTR risk assessment framework, then applied it to facilitate the accurate management of antibiotic pollution at the basin level.

摘要

抗生素是新兴污染物,根据持久性、生物累积性和毒性(PBT)风险评估,它们被认为风险较低。然而,越来越多的研究表明,抗生素是导致全球抗菌药物耐药性(AMR)增加的原因,这表明使用 PBT 风险评估方法,抗生素的风险被大大低估了。在这里,我们设计了一个持久性、生物累积性、毒性和耐药性(PBTR)综合创新风险评估框架,考虑抗生素耐药性,以更好地代表抗生素的环境风险。该新型抗生素风险评估框架进一步通过在中国长江下游(LYR)23 个饮用水源的正常和洪水季节的 39 种目标抗生素中的应用得到了验证。与 PBT 评估、单一毒性评估和单一耐药性评估相比,在 PBTR 评估中,观察到 39 种目标抗生素中有 7 种对细菌不敏感,代表着更突出的风险,而在洪水季节浓度较低但污染负荷较高的采样点也是如此,这证实了 PBTR 风险评估的敏感性是有指导意义的。筛选出的优先抗生素的 PBTR 风险评估不仅提供了有代表性的数据,而且还为识别耐药风险提供了一种创新方法。使用正定矩阵因子分解(PMF)模型,可以预测优先抗生素的来源,从而为相应的政策提供支持。总的来说,本研究首次构建了 PBTR 风险评估框架,然后将其应用于促进流域层面抗生素污染的准确管理。

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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验