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Pyrolysis-GC/MS Reference Data for Polymeric and Refractory Materials to Evaluate C-PVC Indicator Specificity

Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research) 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 43 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Isabel Goßmann, Wirth, Corinna, Scholz-Böttcher, Barbara M

Summary

This paper provides a reference dataset of chemical fingerprints — generated by pyrolysis gas chromatography-mass spectrometry — to help researchers accurately identify chlorinated polyvinyl chloride (C-PVC) microplastics in environmental samples without confusing them with other materials. Environmental samples often contain complex mixtures of polymers, charcoal, soot, and natural materials that can produce overlapping signals, so having validated reference data is essential for reliable microplastic identification. Better analytical tools for distinguishing plastic types will improve the accuracy of microplastic contamination assessments.

Polymers

This dataset presents pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) data used to evaluate the specificity of proposed indicator compounds for identifying polyvinyl chloride (C-PVC) in environmental micro- and nanoplastic (MNP) samples. Pure standards of synthetic polymers - including various chlorinated and non-chlorinated types - refractory materials such as soot and charcoal, and natural polymers including different cotton-derived samples were analyzed under controlled conditions. Each polymer and material was pre-treated when applicable (e.g., Fenton oxidation), and subjected to Py-GC/MS using standardized protocols including on-line thermochemolysis with tetramethylammonium hydroxide (TMAH). Internal standardization was performed using deuterated polystyrene (d8-PS). Generated pyrograms were used to compare the presence and intensity of target indicator ions, such as those from naphthalene and its alkylated derivatives, and evaluate potential interference across sample types. This reference dataset aims to support method development and interpretation in the thermal analysis of C-PVC in complex environmental matrices.

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