4.8 Article

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

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 56, 期 12, 页码 8278-8289

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c05632

关键词

toxicity estimation; new approach methods; aquatic toxicology; water quality criteria; ecological risk assessment; computational toxicology

资金

  1. Gulf Ecosystem Modeling and Management Division, U.S. EPA

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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. The toxicity-normalized species sensitivity distribution (SSDn) approach is a novel method for developing compound-specific hazard concentrations. This method shows promise for developing statistically robust hazard concentrations when adequate taxonomic representation is not available for a single chemical.
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.

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