3.8 Proceedings Paper

Microplastic Detection and Analysis in Water Samples

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SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-76081-6_12

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  1. BMBF

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Microplastic detection in water samples is crucial for tracing their sources, as they can cause harm to desalination facilities and disrupt the marine food chain. Thermoanalytical methods and spectroscopic methods are commonly used for analyzing microplastics, providing fast and accurate results on their size and composition. Machine learning algorithms ensure reliable classification of different plastic materials.
Microplastic detection in water samples becomes important for tracing microplastic sources. Microplastic may harm desalination facilities by blocking filters and disturbing the marine food chain. Thermoanalytical methods, such as aspyrolysis gas chromatography mass spectroscopy and spectroscopic methods like (micro) Raman spectroscopy or (micro) Fourier-transform infrared spectroscopy, in combination with appropriate filters and sample preparation are suitable for analyzing microplastics on a scale from to 1000 mu m: fast and unambiguous. While the thermo analytical methods are suitable for larger sample volumes, Raman spectroscopy and Fourier-transform infrared spectroscopy are able to detect and analyze single microplastic particles, for instance in bottled water. Machine learning algorithms ensure a reliable classification of different plastic materials.

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