Effective Py-GC/MS Analysis Method for the Quantification of Microplastics in Various Kinds of Environmental Matrix

Authors

Young-Min Kim
Department of Environmental Engineering, Daegu University
Hyein Kim
Department of Environmental Engineering, Daegu University
Jihye Kwon
Department of Environmental Engineering, Daegu University
Juhye Kim
Department of Environmental Engineering, Daegu University
Heejeong Kim
Department of Environmental Engineering, Daegu University
Atushi Watanabe
Frontier Laboratories Ltd., Japan

Synopsis

Recently, several improvements on microplastics filtration, reference material, and Py-GC/MS methods, were achieved by our research team and are being applied to worldwide research area for the analysis of microplastics using Py-GC/MS analysis. Based on our experiments, the higher recovery than 90 % in weight dimension and the quantification for 11 kinds of microplastics, ranging from 0.1 to 2.0 µg level as minimum detection limit, were able to be achieved by the use of our filtration system and reference material on Py-GC/MS analysis. In this presentation, we propose the open discussion for our recent improvement with the basic talk for microplastics analysis principle using a micro furnace type Py-GC/MS system together with the introduction of our recent publications.

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Published
November 3, 2022