Comparison of two rapid automated analysis tools for large FTIR microplastic datasets.
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Moses, Sonya R.
Löder, Martin G. J.
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One of the biggest issues in microplastic (MP, plastic items <5 mm) research is the lack of standardisation and harmonisation in all fields, reaching from sampling methodology to sample purification, analytical methods and data analysis. This hampers comparability as well as reproducibility among studies. Concerning chemical analysis of MPs, Fourier-transform infrared (FTIR) spectroscocopy is one of the most powerful tools. Here, focal plane array (FPA) based micro-FTIR (μFTIR) imaging allows for rapid measurement and identification without manual preselection of putative MP and therefore enables large sample throughputs with high spatial resolution. The resulting huge datasets necessitate automated algorithms for data analysis in a reasonable time frame. Although solutions are available, little is known about the comparability or the level of reliability of their output. For the first time, within our study, we compare two well-established and frequently applied data analysis .....
JournalAnalytical and Bioanalytical Chemistry
Sustainable Development Goals (SDG)14.a
CitationMoses, S.R., Roscher, L., Primpke, S. et al. (2023) Comparison of two rapid automated analysis tools for large FTIR microplastic datasets. Analytical and Bioanalytical Chemistry, 415, pp.2975–2987. DOI: https://doi.org/10.1007/s00216-023-04630-w
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