Institute of Integrated Natural Sciences, University Koblenz-Landau, Universitätsstr. 1, 56070, Koblenz, Germany.
Department of Animal Ecology, Federal Institute of Hydrology, Am Mainzer Tor 1, 56068, Koblenz, Germany.
Anal Bioanal Chem. 2019 Nov;411(28):7409-7418. doi: 10.1007/s00216-019-02089-2. Epub 2019 Nov 18.
Identification and quantification of microplastics (MP) in environmental samples is crucial for understanding the risk and distribution of MP in the environment. Currently, quantification of MP particles in environmental samples and the comparability of different matrices is a major research topic. Research also focusses on sample preparation, since environmental samples must be free of inorganic and organic matrix components for the MP analysis. Therefore, we would like to propose a new method that allows the comparison of the results of MP analysis from different environmental matrices and gives a MP concentration in mass of MP particles per gram of environmental sample. This is possible by developing and validating an optimized and consistent sample preparation scheme for quantitative analysis of MP particles in environmental model samples in conjunction with quantitative H-NMR spectroscopy (qNMR). We evaluated for the first time the effects of different environmental matrices on identification and quantification of polyethylene terephthalate (PET) fibers using the qNMR method. Furthermore, high recovery rates were obtained from spiked environmental model samples (without matrix ~ 90%, sediment ~ 97%, freshwater ~ 94%, aquatic biofilm ~ 95%, and invertebrate matrix ~ 72%), demonstrating the high analytical potential of the method. Graphical abstract.
鉴定和量化环境样品中的微塑料(MP)对于了解环境中 MP 的风险和分布至关重要。目前,量化环境样品中的 MP 颗粒和不同基质的可比性是一个主要的研究课题。研究还集中在样品制备上,因为环境样品必须不含无机和有机基质成分,才能进行 MP 分析。因此,我们希望提出一种新的方法,允许比较来自不同环境基质的 MP 分析结果,并给出每克环境样品中 MP 颗粒的 MP 浓度。这可以通过开发和验证一种优化且一致的样品制备方案来实现,该方案用于与定量核磁共振光谱学(qNMR)结合对环境模型样品中的 MP 颗粒进行定量分析。我们首次使用 qNMR 方法评估了不同环境基质对鉴定和量化聚对苯二甲酸乙二醇酯(PET)纤维的影响。此外,从添加的环境模型样品中获得了高回收率(无基质90%,沉积物97%,淡水94%,水生生物膜95%,无脊椎动物基质~72%),证明了该方法的高分析潜力。