Suppr超能文献

水生生境预测无效应浓度推导-全氟辛烷磺酸

Aquatic predicted no-effect-concentration derivation for perfluorooctane sulfonic acid.

机构信息

School of Environment, Beijing Normal University, Beijing, China.

出版信息

Environ Toxicol Chem. 2011 Apr;30(4):836-42. doi: 10.1002/etc.460. Epub 2011 Feb 8.

Abstract

Perfluorooctane sulfonic acid (PFOS), a representative perfluorinated surfactant, is an anthropogenic pollutant detected in various environmental and biological matrices. Some laboratory and field work has been conducted to assess the aquatic toxicity of PFOS, but little is known regarding its toxicity threshold to the aquatic ecosystem. In the present study, predicted no-effect concentrations (PNECs) were derived by four different approaches. The interspecies correlation estimation (ICE) program and final acute-to-chronic ratio (FACR) were applied to the development of PNEC based on the toxic mode of action (MOA) of PFOS. By comparison of the different PNECs, the recommended aquatic toxicity thresholds for PFOS are in the range of 0.61 to 6.66 µg/L. Based on comparison of PNEC values, microcosm results, and reported environmental concentrations, PFOS appears not to pose a serious threat to aquatic organisms. The present results demonstrate that MOA is an important consideration for the derivation of reliable PNECs; moreover, the ICE-based species sensitivity distribution (SSD) method can be used to derive PNECs when toxicological data are limited. The application of MOA and ICE for deriving PNEC values in the present study may facilitate studies on using a combination of quantitative structure-activity relationship (QSAR) models and ICE to estimate PNECs.

摘要

全氟辛烷磺酸(PFOS)是一种典型的全氟表面活性剂,是在各种环境和生物基质中检测到的人为污染物。已经进行了一些实验室和现场工作来评估 PFOS 的水生毒性,但对于其对水生生态系统的毒性阈值知之甚少。在本研究中,通过四种不同的方法推导出了预测无效应浓度(PNEC)。物种相关性估计(ICE)程序和最终急性到慢性比(FACR)被应用于基于 PFOS 的毒性作用模式(MOA)来开发 PNEC。通过比较不同的 PNEC,PFOS 的推荐水生毒性阈值在 0.61 至 6.66μg/L 范围内。基于 PNEC 值、微宇宙结果和报告的环境浓度的比较,PFOS 似乎不会对水生生物构成严重威胁。本研究结果表明,MOA 是推导出可靠 PNEC 的重要考虑因素;此外,当毒理学数据有限时,基于 ICE 的物种敏感性分布(SSD)方法可用于推导出 PNEC。本研究中应用 MOA 和 ICE 推导出 PNEC 值,可能有助于使用定量构效关系(QSAR)模型和 ICE 组合来估算 PNEC。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验