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优先考虑大湖支流中的药物污染物,使用基于风险的筛选技术。

Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques.

机构信息

Upper Midwest Water Science Center, US Geological Survey, Madison, Wisconsin, USA.

Laboratory & Analytical Services Division, US Geological Survey, Denver, Colorado, USA.

出版信息

Environ Toxicol Chem. 2022 Sep;41(9):2221-2239. doi: 10.1002/etc.5403. Epub 2022 Jul 21.

Abstract

In a study of 44 diverse sampling sites across 16 Great Lakes tributaries, 110 pharmaceuticals were detected of 257 monitored. The present study evaluated the ecological relevance of detected chemicals and identified heavily impacted areas to help inform resource managers and guide future investigations. Ten pharmaceuticals (caffeine, nicotine, albuterol, sulfamethoxazole, venlafaxine, acetaminophen, carbamazepine, gemfibrozil, metoprolol, and thiabendazole) were distinguished as having the greatest potential for biological effects based on comparison to screening-level benchmarks derived using information from two biological effects databases, the ECOTOX Knowledgebase and the ToxCast database. Available evidence did not suggest substantial concern for 75% of the monitored pharmaceuticals, including 147 undetected pharmaceuticals and 49 pharmaceuticals with screening-level alternative benchmarks. However, because of a lack of biological effects information, screening values were not available for 51 detected pharmaceuticals. Samples containing the greatest pharmaceutical concentrations and having the highest detection frequencies were from Lake Erie, southern Lake Michigan, and Lake Huron tributaries. Samples collected during low-flow periods had higher pharmaceutical concentrations than those collected during increased-flow periods. The wastewater-treatment plant effluent content in streams correlated positively with pharmaceutical concentrations. However, deviation from this correlation demonstrated that secondary factors, such as multiple pharmaceutical sources, were likely present at some sites. Further research could investigate high-priority pharmaceuticals as well as those for which alternative benchmarks could not be developed. Environ Toxicol Chem 2022;41:2221-2239. Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

摘要

在对 16 条大湖支流的 44 个不同采样点进行的研究中,在所监测的 257 种药物中发现了 110 种药物。本研究评估了所检测化学物质的生态相关性,并确定了受影响严重的地区,以帮助向资源管理者提供信息并指导未来的调查。根据从两个生物效应数据库,即 ECOTOX 知识库和 ToxCast 数据库中获取的信息,利用筛选水平基准值进行比较,确定了 10 种药物(咖啡因、尼古丁、沙丁胺醇、磺胺甲恶唑、文拉法辛、对乙酰氨基酚、卡马西平、吉非贝齐、美托洛尔和噻苯达唑)具有最大的生物效应潜力。对于监测到的 75%的药物,包括 147 种未检测到的药物和 49 种具有筛选水平替代基准值的药物,现有证据并未表明存在实质性问题。然而,由于缺乏生物效应信息,对于 51 种已检测到的药物,没有筛选值。含有最高药物浓度和最高检测频率的样本来自伊利湖、密歇根湖南部和休伦湖支流。在低流量期采集的样本中的药物浓度高于在流量增加期采集的样本。溪流中的污水处理厂出水含量与药物浓度呈正相关。然而,这种相关性的偏差表明,在某些地点可能存在多种药物来源等次要因素。进一步的研究可以调查高优先级药物以及那些无法制定替代基准值的药物。环境毒理化学 2022;41:2221-2239。2022 年出版。本文是美国政府的作品,在美国属于公有领域。由 Wiley Periodicals LLC 代表 SETAC 出版的《环境毒理学与化学》。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4730/9542422/32428ac04439/ETC-41-2221-g001.jpg

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