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APPLICATION OF CHEMICAL TOXICITY DISTRIBUTIONS TO ECOTOXICOLOGY DATA REQUIREMENTS UNDER REACH

机译:化学毒性分布在生态毒理学数据要求中的应用

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摘要

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.
机译:欧盟的REACH法规进一步强调了市场上物质缺乏生态毒理学数据。 REACH规定的任务(化学品的注册,评估,授权和限制)旨在产生数据并最小化对脊椎动物的测试,这为使用交叉读取的先进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)的概率生态毒理危害评估方法上。使用具有相似作用模式或化学类别内化学物质的可用数据,可以基于生态受体中特定终点的毒性值的概率分布,选择用于开发环境安全值的筛选点值(SPV) 。大型蚤(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来自多个数据源,包括美国环境保护署的ECOTOX和农药生态毒性数据库,经过同行评审的文献以及人类与环境风险评估(HERA)项目。随后开发了化学毒性分布,并将第一和第五个百分数用作SPV,用于开发筛选预测的无效应浓度(sPNEC)。根据REACH指南的建议,将这些分布的第一和第五个百分位数除以评估系数1000。使用通过这些技术创建的筛选值可以支持数据档案开发和环境暴露评估的过程,从而可以在测试和监视中严格地确定优先级,以填补数据空白。

著录项

  • 来源
    《Environmental toxicology and chemistry》 |2011年第8期|p.1943-1954|共12页
  • 作者单位

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

    Department of Environmental Science, Center for Reservoir and Aquatic Systems Research, Baylor University, Waco, Texas, USA,Institute of Biomedical Studies, Baylor University, Waco, Texas, USA;

    Department of Environmental Science, Center for Reservoir and Aquatic Systems Research, Baylor University, Waco, Texas, USA,Institute of Biomedical Studies, Baylor University, Waco, Texas, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    REACH; probabilistic ecological hazard assessment; read-across; chemical toxicity distribution;

    机译:达到;概率性生态危害评估;跨读化学毒性分布;

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