Chemical Fingerprinting of Synthetic Polymers via Direct Insertion Probe Mass Spectrometry.

Ville H Nissinen, Nea Heilala, Krista Grönlund, Paavo Auvinen, Mika Suvanto, Jarkko J Saarinen, Janne Jänis

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Article in Macromolecules, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Ville H NissinenDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, P. O. Box 111, FI-80101 Joensuu, Finland.ORCID https://orcid.org/0000-0002-3709-4421

Nea HeilalaDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, P. O. Box 111, FI-80101 Joensuu, Finland.ORCID https://orcid.org/0009-0005-4476-6010

Krista GrönlundDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, P. O. Box 111, FI-80101 Joensuu, Finland.ORCID https://orcid.org/0009-0006-6113-1460

Paavo AuvinenDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, P. O. Box 111, FI-80101 Joensuu, Finland.ORCID https://orcid.org/0000-0003-4120-0212

Mika SuvantoDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, P. O. Box 111, FI-80101 Joensuu, Finland.

Jarkko J SaarinenDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, P. O. Box 111, FI-80101 Joensuu, Finland.

Janne JänisDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, P. O. Box 111, FI-80101 Joensuu, Finland.ORCID https://orcid.org/0000-0002-8446-4704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report on the chemical fingerprinting of synthetic polymers using direct insertion probe mass spectrometry (DIP-MS), an analytical approach requiring only minimal sample preparation. A total of 38 different polymers were analyzed using temperature-programmed DIP-MS with atmospheric pressure chemical ionization (APCI) to establish a comprehensive spectral library. The studied polymers included homo- and copolymers from various classes, such as polyolefins, polyethers, polyesters, polyamides, styrenics, thermoplastic elastomers, and fluoropolymers. DIP-APCI-MS provided detailed structural information, enabling reliable identification of nearly all polymers based on their characteristic thermal decomposition patterns. Moreover, the utilization of temperature-programmed approach allowed monitoring of sample degradation as a function of temperature, further aiding polymer identification. Overall, temperature-programmed DIP-APCI-MS proved to be a robust and efficient method for the chemical fingerprinting of synthetic polymers, with potential applications in areas such as microplastic analysis and plastic recycling.

Identifiers

PMID41907201

DOI10.1021/acs.macromol.5c03190

PMCPMC13019992

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