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非传统物种敏感性分布方法分析海洋水中微塑料的危险浓度。

Non-traditional species sensitivity distribution approaches to analyze hazardous concentrations of microplastics in marine water.

机构信息

Department of Environmental Health Science, Konkuk University, Seoul 05029, Republic of Korea.

Department of Environmental Health Science, Konkuk University, Seoul 05029, Republic of Korea.

出版信息

J Hazard Mater. 2023 Oct 5;459:132174. doi: 10.1016/j.jhazmat.2023.132174. Epub 2023 Jul 27.

Abstract

Owing to their ubiquitous nature, microplastics are a major environmental concern. This study reviewed the toxicity data of microplastics in marine water, and analyzed their species sensitivity distribution (SSD) curves and hazardous concentrations (HCs). Toxicity database of no-observed effect concentration (NOEC), 50% effect concentration (EC), and highest observed no-effect concentration (HONEC), and lethal, developing, reproductive, biochemical, and behavioral toxicity endpoints was used. Using 169 chronic NOEC databases, all non-traditional toxicity endpoint databases showed stronger HC values, better fit, and more variable toxicity sensitivity than those derived from traditional values. Moreover, using 426 chronic NOEC, EC, and HONEC data points, HC values calculated from traditional plus HONEC toxicity values showed weaker HC values, slightly better fit, and more variable toxicity sensitivity than those derived from traditional toxicity values. The SSD approach using non-traditional toxicity and marine water toxicity data can expand the marine water toxicity database, including information on SSD curves and HCs of diverse microplastics.

摘要

由于其无处不在的特性,微塑料是一个主要的环境关注点。本研究综述了海洋水中微塑料的毒性数据,并分析了它们的物种敏感性分布(SSD)曲线和危害浓度(HCs)。使用了无观察效应浓度(NOEC)、50%效应浓度(EC)和最高观察无效应浓度(HONEC)的毒性数据库,以及致死、发育、生殖、生化和行为毒性终点。利用 169 个慢性 NOEC 数据库,所有非传统毒性终点数据库都显示出更强的 HC 值、更好的拟合度和更具变异性的毒性敏感性,而不是传统值。此外,利用 426 个慢性 NOEC、EC 和 HONEC 数据点,从传统加 HONEC 毒性值计算得到的 HC 值显示出较弱的 HC 值、稍好的拟合度和更具变异性的毒性敏感性,而不是从传统毒性值得出的 HC 值。使用非传统毒性和海洋水毒性数据的 SSD 方法可以扩展海洋水毒性数据库,包括不同微塑料的 SSD 曲线和 HCs 信息。

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