Aquatic Ecology and Water Quality Management group, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands.
TG Environmental Research, Sharnbrook, Bedfordshire MK44 1PL, U.K.
Environ Sci Technol. 2020 Oct 6;54(19):11692-11705. doi: 10.1021/acs.est.0c03057. Epub 2020 Sep 15.
In the literature, there is widespread consensus that methods in plastic research need improvement. Current limitations in quality assurance and harmonization prevent progress in our understanding of the true effects of microplastic in the environment. Following the recent development of quality assessment methods for studies reporting concentrations in biota and water samples, we propose a method to assess the quality of microplastic effect studies. We reviewed 105 microplastic effect studies with aquatic biota, provided a systematic overview of their characteristics, developed 20 quality criteria in four main criteria categories (particle characterization, experimental design, applicability in risk assessment, and ecological relevance), propose a protocol for future effect studies with particles, and, finally, used all the information to define the weight of evidence with respect to demonstrated effect mechanisms. On average, studies scored 44.6% (range 20-77.5%) of the maximum score. No study scored positively on all criteria, reconfirming the urgent need for better quality assurance. Most urgent recommendations for improvement relate to avoiding and verifying background contamination, and to improving the environmental relevance of exposure conditions. The majority of the studies (86.7%) evaluated on particle characteristics properly, nonetheless it should be underlined that by failing to provide characteristics of the particles, an entire experiment can become irreproducible. Studies addressed environmentally realistic polymer types fairly well; however, there was a mismatch between sizes tested and those targeted when analyzing microplastic in environmental samples. In far too many instances, studies suggest and speculate mechanisms that are poorly supported by the design and reporting of data in the study. This represents a problem for decision-makers and needs to be minimized in future research. In their papers, authors frame 10 effects mechanisms as "suggested", whereas 7 of them are framed as "demonstrated". When accounting for the quality of the studies according to our assessment, three of these mechanisms remained. These are , , and . We recommend that risk assessment addresses these mechanisms with higher priority.
在文献中,人们普遍认为塑料研究方法需要改进。目前在质量保证和协调方面的限制阻碍了我们对环境中微塑料真实影响的理解。在最近开发了用于报告生物群和水样中浓度的研究的质量评估方法之后,我们提出了一种评估微塑料影响研究质量的方法。我们回顾了 105 项涉及水生生物群的微塑料影响研究,系统地概述了它们的特征,在四个主要标准类别(颗粒特征描述、实验设计、在风险评估中的适用性和生态相关性)中制定了 20 个质量标准,提出了未来颗粒影响研究的方案,并最终利用所有信息定义了关于已证明的影响机制的证据权重。平均而言,研究的得分为满分的 44.6%(范围为 20-77.5%)。没有一项研究在所有标准上都得分阳性,这再次证实了迫切需要更好的质量保证。最迫切的改进建议涉及避免和验证背景污染,并提高暴露条件的环境相关性。大多数研究(86.7%)对颗粒特性进行了适当的评估,但应该强调的是,如果不提供颗粒特性,整个实验可能变得无法重现。研究很好地解决了环境现实聚合物类型的问题;然而,在测试的大小与分析环境样本中的微塑料时的目标大小之间存在不匹配。在太多情况下,研究提出并推测了数据设计和报告在研究中支持不足的机制。这对决策者来说是一个问题,需要在未来的研究中加以最小化。在他们的论文中,作者将 10 种影响机制框定为“建议”,而其中 7 种被框定为“证明”。当根据我们的评估考虑研究的质量时,其中三种机制仍然存在。这些是 、 和 。我们建议风险评估应优先考虑这些机制。