Empa, Swiss Federal Laboratories for Materials Science and Technology, St. Gallen, Switzerland.
Environ Toxicol Chem. 2019 Feb;38(2):436-447. doi: 10.1002/etc.4323. Epub 2019 Jan 11.
Microplastics have been detected in freshwaters all over the world in almost all samples, and ecotoxicological studies have shown adverse effects of microplastics on organisms. However, no risk assessment of microplastics has been performed specifically in freshwater so far. The aim of the present study was therefore to review all exposure and ecotoxicity data available for microplastics in freshwaters and to perform a preliminary probabilistic risk assessment. The exposure probability distribution was based on 391 concentrations measured in Asia, Europe, and North America. Because exposure data are mainly available in particle number-based metrics but results from hazard studies are mostly mass-based, the hazard results were converted into particle number concentrations. A statistical analysis of the hazard data showed that there was no significant influence of particle shape or type of polymer on the no-observed-effect concentration. The predicted-no-effect concentration (PNEC) was calculated as the fifth percentile of the probabilistic species sensitivity distribution, based on 53 values from 14 freshwater species, to have a mode of 7.4 × 10 particles · m (25th and 75th quantiles of 6.1 × 10 and 1.3 × 10 particles · m , respectively). The exposure probability distribution was divided by the PNEC probability distribution to calculate risk characterization ratios (RCRs), with modes of 1.3 × 10 in North America, 3.3 × 10 in Europe, and 4.6 × 10 in Asia. Probability distributions associated with the RCRs showed that ecological risks cannot be entirely excluded in Asia, where 0.4% of the RCR values were above 1. Environ Toxicol Chem 2019;38:436-447. © 2018 SETAC.
微塑料已在世界各地的淡水环境中几乎所有样本中被检测到,生态毒理学研究表明微塑料对生物具有不良影响。然而,迄今为止,尚未针对淡水环境对微塑料进行专门的风险评估。因此,本研究旨在综述淡水环境中微塑料的所有暴露和生态毒性数据,并进行初步概率风险评估。暴露概率分布基于亚洲、欧洲和北美的 391 个浓度测量值。由于暴露数据主要以颗粒数为基础的指标提供,但危害研究的结果主要以质量为基础,因此将危害结果转换为颗粒数浓度。对危害数据的统计分析表明,颗粒形状或聚合物类型对无观察效应浓度没有显著影响。预测无效应浓度(PNEC)是基于 14 种淡水物种的 53 个值,根据物种敏感性分布的概率分布的第五个百分位数计算得出的,其模式为 7.4×10 个颗粒·m(25%和 75%的分位数分别为 6.1×10 和 1.3×10 个颗粒·m)。将暴露概率分布除以 PNEC 概率分布来计算风险特征比(RCR),北美的模式为 1.3×10,欧洲为 3.3×10,亚洲为 4.6×10。与 RCR 相关的概率分布表明,在亚洲,生态风险不能完全排除,其中 0.4%的 RCR 值大于 1。Environ Toxicol Chem 2019;38:436-447. © 2018 SETAC.