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群组化学危害评估新方法的评估:毒性归一化物种敏感性分布(SSDn)。

Assessment of a New Approach Method for Grouped Chemical Hazard Estimation: The Toxicity-Normalized Species Sensitivity Distribution (SSDn).

机构信息

Office of Research and Development, U.S. Environmental Protection Agency, Gulf Breeze, Florida 32561, United States.

出版信息

Environ Sci Technol. 2022 Jun 21;56(12):8278-8289. doi: 10.1021/acs.est.1c05632. Epub 2022 May 9.

Abstract

New approach methods are being developed to address the challenges of reducing animal testing and assessing risks to the diversity of species in aquatic environments for the multitude of chemicals with minimal toxicity data. The toxicity-normalized species sensitivity distribution (SSDn) approach is a novel method for developing compound-specific hazard concentrations using data for toxicologically similar chemicals. This approach first develops an SSDn composed of acute toxicity values for multiple related chemicals that have been normalized by the sensitivity of a common species tested with each compound. A toxicity-normalized hazard concentration (HC5n) is then computed from the fifth percentile of the SSDn. Chemical-specific HC5 values are determined by back-calculating the HC5n using the chemical-specific sensitivity of the normalization species. A comparison of the SSDn approach with the single-chemical SSD method was conducted by using data for nine transition metals to generate and compare HC5 values between the two methods. We identified several guiding principles for this method that, when applied, resulted in accurate HC5 values based on comparisons with results from single-metal SSDs. The SSDn approach shows promise for developing statistically robust hazard concentrations when adequate taxonomic representation is not available for a single chemical.

摘要

正在开发新的方法来应对减少动物测试和评估水生环境中多种具有最小毒性数据的化学物质对物种多样性的风险的挑战。毒性归一化物种敏感性分布(SSDn)方法是一种使用具有相似毒性的化学物质的数据来开发化合物特异性危害浓度的新方法。该方法首先通过用每种化合物测试的共同物种的敏感性对多个相关化学物质的急性毒性值进行归一化来构建 SSDn。然后,从 SSDn 的第五个百分位数计算毒性归一化的危害浓度(HC5n)。通过使用归一化物种的化学特异性敏感性向后计算 HC5n 来确定化学特异性 HC5 值。通过使用九种过渡金属的数据,比较了 SSDn 方法和单种化学 SSD 方法,以生成和比较两种方法之间的 HC5 值。我们确定了该方法的几个指导原则,当应用于根据单金属 SSD 的结果进行比较时,这些原则可以得出准确的 HC5 值。当单一化学物质没有足够的分类学代表性时,SSDn 方法有望开发出具有统计学稳健性的危害浓度。

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Ecological Thresholds of Toxicological Concern: A Review.毒理学关注的生态阈值:综述
Front Toxicol. 2021 Mar 5;3:640183. doi: 10.3389/ftox.2021.640183. eCollection 2021.

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