A novel measurement strategy and a dedicated sampling cell for the parallel characterization of organic and inorganic constituents in polymer samples by concurrent laser ablation ICP-OES and EI-MS

Polymeric composite materials are gaining importance due to their universal applicability and easy adaptability for their intended use. For the comprehensive characterization of these materials, the concurrent determination of the organic and the elemental constituents is necessary, which cannot be...

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Veröffentlicht in:Analytica chimica acta 2023-07, Vol.1264, p.341305-341305, Article 341305
Hauptverfasser: Kronlachner, Laura, Frank, Johannes, Rosenberg, Erwin, Limbeck, Andreas
Format: Artikel
Sprache:eng
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Zusammenfassung:Polymeric composite materials are gaining importance due to their universal applicability and easy adaptability for their intended use. For the comprehensive characterization of these materials, the concurrent determination of the organic and the elemental constituents is necessary, which cannot be provided by classical analysis methods. In this work, we present a novel approach for advanced polymer analysis. The proposed approach is based on firing a focused laser beam onto a solid sample placed in an ablation cell. The generated gaseous and particular ablation products are measured online parallelly by EI-MS and ICP-OES. This bimodal approach allows direct characterization of the main organic and inorganic constituents of solid polymer samples. The LA-EI-MS data showed excellent agreement with the literature EI-MS data allowing not only the identification of pure polymers but also of copolymers, as demonstrated with acrylonitrile butadiene styrene (ABS) as the sample. The concurrent collection of ICP-OES elemental data is vital for classification, provenance determination, or authentication studies. The applicability of the proposed procedure has been demonstrated by analysis of various polymer samples from everyday use. [Display omitted] •New ablation cell design allows direct coupling of laser ablation with EI-MS and ICP-OES.•EI-MS data allows identification of polymers even in mixture.•ICP-OES data is vital for detection of additives and impurities.•Method enables classification and differentiation of polymeric composite material.
ISSN:0003-2670
1873-4324
DOI:10.1016/j.aca.2023.341305