Illustrating a Species Sensitivity Distribution for Nano‐ and Microplastic Particles Using Bayesian Hierarchical Modeling

Takeshita Kazutaka M.; Iwasaki Yuichi; Sinclair Thomas M.Hayashi Takehiko INaito Wataru

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Illustrating a Species Sensitivity Distribution for Nano‐ and Microplastic Particles Using Bayesian Hierarchical Modeling

机译：Illustrating a Species Sensitivity Distribution for Nano‐ and Microplastic Particles Using Bayesian Hierarchical Modeling

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Environmental contamination with nano- and microplastic (NMP) particles is an emerging global concern. The derivation of species sensitivity distributions (SSDs) is an essential step in estimating a hazardous concentration for 5% of the species (HC5), and this HC5 value is often used as a "safe" concentration in ecological risk assessment, that is, predicted-no-effect concentration. Although properties of plastics such as particle size can affect toxic effect concentrations, such influences have not yet been quantitatively considered in estimating SSDs for NMP particles. We illustrate a log-normal SSD using chronic lowest-observed-effect concentrations (LOECs) of NMP particles from readily available toxicity data sets, considering the influence of particle size, polymer type, and freshwater or marine test media by adopting Bayesian hierarchical modeling techniques. Results of the hierarchical SSD modeling suggest that the SSD mean was negatively associated with particle size and was lower in marine media than in freshwater media. The posterior medians of the HC5 estimated from the LOEC-based SSD varied by a factor of 10 depending on these factors (e.g., 1.8-20 mu g/L for the particle size range of 0.1-5000 mu m in the marine environment). Hierarchical SSD modeling allows us to clarify the influences of important factors such as NMP properties on effect concentrations, thereby helping to guide more relevant ecological risk assessments for NMP. Environ Toxicol Chem 2022;00:1-7. (c) 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

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《Environmental toxicology and chemistry /》 |2022年第4期|954-960|共7页
作者
Takeshita Kazutaka M.; Iwasaki Yuichi; Sinclair Thomas M.Hayashi Takehiko INaito Wataru;
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作者单位

Natl Inst Environm Studies, Hlth & Environm Risk Div, Tsukuba, Ibaraki, Japan;

Natl Inst Adv Ind Sci & Technol, Res Inst Sci Safety & Sustainabil, Tsukuba, Ibaraki, Japan;

Univ Sheffield, Dept Anim & Plant Sci, Sheffield, S Yorkshire, EnglandNatl Inst Environm Studies, Social Syst Div, Tsukuba, Ibaraki, Japan;

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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
正文语种英语
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关键词
Aquatic organisms; Bayesian estimation; Ecotoxicity; Particle size; Polymer type; Test type of medium;

Illustrating a Species Sensitivity Distribution for Nano‐ and Microplastic Particles Using Bayesian Hierarchical Modeling

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