Suppr超能文献

化学毒性分布在 REACH 生态毒理学数据要求中的应用。

Application of chemical toxicity distributions to ecotoxicology data requirements under REACH.

机构信息

Department of Environmental Science, Center for Reservoir and Aquatic Systems Research, Baylor University, Waco, Texas, USA.

出版信息

Environ Toxicol Chem. 2011 Aug;30(8):1943-54. doi: 10.1002/etc.583. Epub 2011 Jun 8.

Abstract

The European Union's REACH regulation has further highlighted the lack of ecotoxicological data for substances in the marketplace. The mandates under REACH (registration, evaluation, authorization, and restriction of chemicals) to produce data and minimize testing on vertebrates present an impetus for advanced hazard assessment techniques using read-across. Research in our group has recently focused on probabilistic ecotoxicological hazard assessment approaches using chemical toxicity distributions (CTDs). Using available data for chemicals with similar modes of action or within a chemical class may allow for selection of a screening point value (SPV) for development of environmental safety values, based on a probabilistic distribution of toxicity values for a specific endpoint in an ecological receptor. Ecotoxicity data for acetylcholinesterase inhibitors and surfactants in Daphnia magna and Pimephales promelas were gathered from several data sources, including the U.S. Environmental Protection Agency's ECOTOX and Pesticides Ecotoxicity databases, the peer-reviewed literature, and the Human and Environmental Risk Assessment (HERA) project. Chemical toxicity distributions were subsequently developed, and the first and fifth centiles were used as SPVs for the development of screening-predicted no-effect concentrations (sPNECs). The first and fifth centiles of these distributions were divided by an assessment factor of 1,000, as recommended by REACH guidance. Use of screening values created using these techniques could support the processes of data dossier development and environmental exposure assessment, allowing for rigorous prioritization in testing and monitoring to fill data gaps.

摘要

欧盟的 REACH 法规进一步凸显了市场上物质缺乏生态毒理学数据的问题。REACH(注册、评估、授权和限制化学品)法规要求生成数据并减少对脊椎动物的测试,这为使用同源物推断进行高级危害评估技术提供了动力。我们小组的研究最近集中在使用化学毒性分布(CTD)进行概率生态毒理学危害评估方法上。使用具有相似作用模式或在同一化学类别内的化学品的现有数据,可能允许根据生态受体特定终点的毒性值概率分布,选择用于开发环境安全值的筛选点值(SPV)。我们从多个数据源收集了 Daphnia magna 和 Pimephales promelas 中乙酰胆碱酯酶抑制剂和表面活性剂的生态毒性数据,包括美国环境保护署的 ECOTOX 和农药生态毒性数据库、同行评议文献以及人类和环境风险评估(HERA)项目。随后开发了化学毒性分布,将第一和第五个百分位数用作开发筛选预测无效应浓度(sPNEC)的 SPV。这些分布的第一和第五个百分位数除以 1,000,这是 REACH 指南建议的评估因子。使用这些技术创建的筛选值可用于支持数据档案开发和环境暴露评估过程,从而在测试和监测中进行严格的优先级排序,以填补数据空白。

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