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利用非靶向筛选和机器学习方法在生活污水和受纳河流中发现药品的转化产物。

Discovering transformation products of pharmaceuticals in domestic wastewaters and receiving rivers by using non-target screening and machine learning approaches.

机构信息

SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.

SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.

出版信息

Sci Total Environ. 2024 Oct 20;948:174715. doi: 10.1016/j.scitotenv.2024.174715. Epub 2024 Jul 11.

DOI:10.1016/j.scitotenv.2024.174715
PMID:39002592
Abstract

Wastewater treatment plants (WWTPs) are an important source of pharmaceuticals in surface water, but information about their transformation products (TPs) is very limited. Here, we investigated occurrence and transformation of pharmaceuticals and TPs in WWTPs and receiving rivers by using suspect and non-target analysis as well as target analysis. Results showed identification of 113 pharmaceuticals and 399 TPs, including mammalian metabolites (n = 100), environmental microbial degradation products (n = 250), photodegradation products (n = 44) and hydrolysis products (n = 5). The predominant parent pharmaceuticals (n = 37) and transformation products (n = 68) were mainly derived from antimicrobials, accounting for 32.7 % and 17.0 %, respectively. The identified compounds were found in the influent (387-428) and effluent (227-400) of WWTPs, as well as upstream (290-451) and downstream (322-416) of receiving rivers, most predominantly from antimicrobials, followed by analgesic and antipyretic drugs. A total of 399 identified TPs were transformed by 110 pathways, of which the oxidation reaction was predominant (27.0 %), followed by photodegradation reaction (10.7 %). Of the 399 TPs, 49 (with lower PNECs) were predicted to be more toxic than their parents. Compounds with potential high risks (hazard quotient >1 and risk index (RI) > 0.1) were found in the WWTP influent (126), effluent (53) and river (61), and the majority were from the antimicrobial and antihypertensive classes. In particular, the potential risks (RI) of TPs from roxithromycin and irbesartan were found higher than those for their corresponding parents. The findings from this study highlight the need to monitor TPs from pharmaceuticals in the environment.

摘要

污水处理厂(WWTP)是地表水药物的重要来源,但有关其转化产物(TPs)的信息非常有限。在这里,我们通过可疑和非靶向分析以及靶向分析,研究了 WWTP 和受纳河流中药物和 TPs 的发生和转化。结果表明,共鉴定出 113 种药物和 399 种 TPs,包括哺乳动物代谢物(n=100)、环境微生物降解产物(n=250)、光降解产物(n=44)和水解产物(n=5)。主要的母体药物(n=37)和转化产物(n=68)主要来源于抗生素,分别占 32.7%和 17.0%。在所研究的 WWTP 的进水(387-428)和出水(227-400)以及受纳河流的上游(290-451)和下游(322-416)中都发现了所识别的化合物,最主要的是抗生素,其次是镇痛药和解热药。总共鉴定出 399 种 TPs 经历了 110 种转化途径,其中氧化反应占主导地位(27.0%),其次是光降解反应(10.7%)。在所鉴定的 399 种 TPs 中,有 49 种(具有较低的 PNECs)被预测比其母体更具毒性。在 WWTP 进水(126)、出水(53)和河流(61)中发现了具有潜在高风险(危害商数>1 和风险指数(RI)>0.1)的化合物,它们主要来自抗生素和降压药类别。特别是,罗红霉素和厄贝沙坦的 TPs 的潜在风险(RI)被发现高于其相应母体。本研究结果强调了需要监测环境中药物的 TPs。

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