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Artikel ; Online: TUM-ParticleTyper 2: automated quantitative analysis of (microplastic) particles and fibers down to 1 [Formula: see text]m by Raman microspectroscopy.

Jacob, Oliver / Ramírez-Piñero, Alejandro / Elsner, Martin / Ivleva, Natalia P

Analytical and bioanalytical chemistry

2023  Band 415, Heft 15, Seite(n) 2947–2961

Abstract: Accurate quantification of small microplastics in environmental and food samples is a prerequisite for studying their potential hazard. Knowledge of numbers, size distributions and polymer type for particles and fibers is particularly relevant in this ... ...

Abstract Accurate quantification of small microplastics in environmental and food samples is a prerequisite for studying their potential hazard. Knowledge of numbers, size distributions and polymer type for particles and fibers is particularly relevant in this respect. Raman microspectroscopy can identify particles down to 1 [Formula: see text]m in diameter. Here, a fully automated procedure for quantifying microplastics across the entire defined size range is presented as the core of the new software TUM-ParticleTyper 2. This software implements the theoretical approaches of random window sampling and on-the-fly confidence interval estimation during ongoing measurements. It also includes improvements to image processing and fiber recognition (when compared to the previous software TUM-ParticleTyper for analysis of particles/fibers [Formula: see text] [Formula: see text]m), and a new approach to adaptive de-agglomeration. Repeated measurements of internally produced secondary reference microplastics were evaluated to assess the precision of the whole procedure.
Sprache Englisch
Erscheinungsdatum 2023-06-08
Erscheinungsland Germany
Dokumenttyp Journal Article
ZDB-ID 201093-8
ISSN 1618-2650 ; 0016-1152 ; 0372-7920
ISSN (online) 1618-2650
ISSN 0016-1152 ; 0372-7920
DOI 10.1007/s00216-023-04712-9
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