Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, 9014, Sankt Gallen, Switzerland.
Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, 9014, Sankt Gallen, Switzerland.
Aquat Toxicol. 2021 Jan;230:105689. doi: 10.1016/j.aquatox.2020.105689. Epub 2020 Nov 25.
Microplastics are ubiquitous in the environment and given the large number of published hazard and exposure studies, quantitative environmental risks assessments of microplastics become feasible. We present here the first environmental risk assessment for marine waters based only on measured concentrations. The Thevariability and uncertainty of the measured data was accounted for in the exposure assessment, while probabilistic species sensitivity distributions were used for hazard assessment, from which a probability distribution was extracted for the predicted no-effect concentration (PNEC). By dividing the exposure distribution by the PNEC-distribution, we were able to calculate probabilistic risk characterisation ratios for each water body in which measurements were performed. Results show a good coverage of the world's major water bodies by measured exposure concentrations (MECs), while the hazard assessment could be improved by aligning the type of particles tested in hazard studies (size, form, polymer) to those actually found in the oceans. Overall, the mean predicted no-effect concentration (PNEC) is 3.84·10 part m, with Oryzias melastigma being the most sensitive species (calculated mean NOEC of 3.90·10 part m). Interestingly, the only type of dose descriptor that could be extracted from the literature for particles above 10-20 μm was the highest observed no effect concentration (HONEC), which indicates a very low or null toxicity of these larger MPs towards marine organisms. The mean MEC is 1.5·10 part m, the highest concentrations being measured in the Atlantic and Pacific Ocean. Although there is a very small overlap of the probability distribution associated with the RCR (0.00002 % of the data points), the mean RCR is 4·10 and therefore risks are unlikely given the available data. However, as increasing amounts of plastic reach the environment, RCRs can be expected to increase in the future.
微塑料在环境中无处不在,鉴于大量已发表的危害和暴露研究,对微塑料进行定量环境风险评估变得可行。我们在此展示了第一个仅基于测量浓度的海洋水域环境风险评估。在暴露评估中考虑了测量数据的变异性和不确定性,而概率物种敏感性分布则用于危害评估,从中提取出预测无效应浓度 (PNEC) 的概率分布。通过将暴露分布除以 PNEC 分布,我们能够为进行测量的每个水体计算出概率风险特征比。结果表明,世界上主要的水体都被测量到的暴露浓度 (MEC) 所覆盖,而通过将危害研究中测试的颗粒类型(大小、形状、聚合物)与海洋中实际发现的颗粒类型对齐,可以改进危害评估。总体而言,平均预测无效应浓度 (PNEC) 为 3.84·10 部分 m,其中 Oryzias melastigma 是最敏感的物种(计算得出的平均无效应浓度为 3.90·10 部分 m)。有趣的是,从文献中可以提取出的唯一一种大于 10-20 μm 的颗粒剂量描述符是最高观察到的无效应浓度 (HONEC),这表明这些较大的 MPs 对海洋生物的毒性非常低或为零。平均 MEC 为 1.5·10 部分 m,最高浓度在大西洋和太平洋测量到。尽管与 RCR 相关的概率分布有很小的重叠(数据点的 0.00002%),但平均 RCR 为 4·10,因此根据现有数据,风险不太可能。然而,随着越来越多的塑料进入环境,预计未来 RCR 会增加。