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

Takeshita, Kazutaka M; Iwasaki, Yuichi; Sinclair, Thomas M; Hayashi, Takehiko I; Naito, Wataru

Takeshita, Kazutaka M; Iwasaki, Yuichi; Sinclair, Thomas M; Hayashi, Takehiko I; Naito, Wataru.

Afiliación

Takeshita KM; Health and Environmental Risk Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.
Iwasaki Y; Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan.
Sinclair TM; Department of Animal and Plant Sciences, University of Sheffield, Sheffield, United Kingdom.
Hayashi TI; Social Systems Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.
Naito W; Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan.

Environ Toxicol Chem ; 41(4): 954-960, 2022 04.

Article en En | MEDLINE | ID: mdl-35226391

Asunto(s)

Microplásticos; Contaminantes Químicos del Agua; Teorema de Bayes; Ecotoxicología; Microplásticos/toxicidad; Plásticos; Medición de Riesgo; Contaminantes Químicos del Agua/análisis; Contaminantes Químicos del Agua/toxicidad

Palabras clave

Aquatic organisms; Bayesian estimation; Ecotoxicity; Particle size; Polymer type; Test type of medium

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Microplásticos Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Toxicol Chem Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Estados Unidos

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