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Title: Estimating species sensitivity distributions for microplastics by quantitively considering particle characteristics using a recently created ecotoxicity database
Authors: Iwasaki, Yuichi
Takeshita, Kazutaka M.
Ueda, Koji
Issue Date: 2023
Publisher: Springer
Abstract: Estimation of a species sensitivity distribution (SSD) by fitting a statistical distribution to ecotoxicity data is a promising approach to deriving “safe” concentrations for microplastics. However, most existing SSDs do not quantitatively consider the diverse characteristics of microplastics, such as particle size and shape. To address this issue, based on 38 mass-based chronic no observed effect concentrations (NOECs) obtained from a recently created database, we estimated SSDs that quantitatively consider the influences of three types of microplastic characteristics (particle length, shape, and polymer type) and habitat of the test species (freshwater vs. marine) by using Bayesian modeling.
Description: CC-BY
URI: https://link.springer.com/article/10.1186/s43591-023-00070-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/9479
Appears in CollectionsOER - Khoa học Vật liệu, Ứng dụng
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