Leusch Frederic Dl, Lu Hsuan-Cheng, Perera Kushani, Neale Peta A, Ziajahromi Shima
Australian Rivers Institute, School of Environment and Science, Griffith University, Southport, Qld, 4222, Australia.
Australian Rivers Institute, School of Environment and Science, Griffith University, Southport, Qld, 4222, Australia.
Environ Pollut. 2023 Feb 15;319:120984. doi: 10.1016/j.envpol.2022.120984. Epub 2022 Dec 29.
Microplastics come in a variety of shapes, polymer types and sizes. Due to the lack of a harmonised approach to analyse and quantify microplastics, there are huge disparities in size detection limits and size classifications used in the literature. This has caused large variations in reported microplastic data and has made comparing microplastic abundance between studies extremely challenging. Herein, we applied a simple mathematical approach that allows for a meaningful comparison between size and abundance (number of particles) of microplastics irrespective of the size classifications used. This method was validated using two separate datasets (microplastics in air and sediment) and applied to re-analyse 127 publications reporting microplastics in various environmental matrices. We demonstrate a strong negative linear relationship between microplastic concentrations and their sizes with comparable slopes across all matrices. Using this method, it is possible to compare the concentration of microplastics of various sizes between studies. It also allows estimation of the abundance of microplastics of a specific size where data are not available. This enables researchers to predict environmentally relevant concentrations of microplastics (particularly for smaller microplastics) and provide realistic exposure scenarios in future toxicity studies, which will greatly improve our understanding of the risks that microplastics pose to living organisms.
微塑料有多种形状、聚合物类型和尺寸。由于缺乏分析和量化微塑料的统一方法,文献中使用的尺寸检测限和尺寸分类存在巨大差异。这导致了所报告的微塑料数据有很大差异,并使得比较不同研究之间的微塑料丰度极具挑战性。在此,我们应用了一种简单的数学方法,该方法能够对微塑料的尺寸和丰度(颗粒数量)进行有意义的比较,而无需考虑所使用的尺寸分类。该方法使用两个独立的数据集(空气中和沉积物中的微塑料)进行了验证,并应用于重新分析127篇报告不同环境基质中微塑料的出版物。我们证明了微塑料浓度与其尺寸之间存在强烈的负线性关系,且所有基质的斜率具有可比性。使用这种方法,可以比较不同研究之间各种尺寸微塑料的浓度。它还能够在没有数据的情况下估计特定尺寸微塑料的丰度。这使研究人员能够预测与环境相关的微塑料浓度(特别是对于较小的微塑料),并在未来的毒性研究中提供实际的暴露情况,这将极大地增进我们对微塑料对生物体构成的风险的理解。