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Detection of unlabeled polystyrene micro- and nanoplastics in mammalian tissue by optical photothermal infrared spectroscopy
RECENDT GmbH─Research Center for Non-Destructive Testing, Linz, Upper Austria, Austria; CBmed GmbH─Center for Biomarker Research in Medicine, Graz, Styria, Austria.
CBmed GmbH─Center for Biomarker Research in Medicine, Graz, Styria, Austria; Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, University Vienna, Vienna, Austria.
CBmed GmbH─Center for Biomarker Research in Medicine, Graz, Styria, Austria; Clinical Institute of Pathology, Department for Experimental and Laboratory Animal Pathology, Medical University of Vienna, Vienna, Austria; Comprehensive Cancer Center, Medical University Vienna, Vienna, Austria; Department for Radiation Oncology, Medical University of Vienna, Vienna, Austria.
CBmed GmbH─Center for Biomarker Research in Medicine, Graz, Styria, Austria.
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2025 (English)In: Analytical Chemistry, ISSN 0003-2700, E-ISSN 1520-6882, Vol. 97, no 31, p. 16714-16722Article in journal (Refereed) Published
Abstract [en]

In this study, we investigate the efficacy of optical photothermal infrared (O-PTIR) spectroscopy, also known as mid-infrared photothermal (MIP) microscopy, for label-free and nondestructive detection of micro- and nanoplastics (MNPs) down to diameters of 200 nm in mammalian tissues. Experiments with both in vitro three-dimensional cell cultures derived from HTC116 colorectal cancer cell line and in vivo mouse tissue models were conducted. Spherical polystyrene particles served as reliable model systems for evaluating spatial resolution limits and quality of spectra. Our findings demonstrate the superior resolution of O-PTIR in imaging individual particles of 200 nm in mouse kidney tissues, surpassing the capabilities of traditional Fourier transform infrared (FTIR) spectroscopy. Furthermore, we apply a semiautomated image analysis that incorporates machine learning algorithms to accelerate the detection process, thus improving throughput and minimizing the potential for human error. The results confirm that O-PTIR is able to provide high-quality, artifact-free spectral images in a contact-less manner and significantly outperforms traditional infrared spectroscopy in terms of spatial resolution and signal-to-noise ratio in complex biological matrices.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2025. Vol. 97, no 31, p. 16714-16722
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:umu:diva-243641DOI: 10.1021/acs.analchem.4c05400ISI: 001542697900001PubMedID: 40749980Scopus ID: 2-s2.0-105013667301OAI: oai:DiVA.org:umu-243641DiVA, id: diva2:1993131
Funder
EU, Horizon 2020, 675712EU, Horizon 2020, P101072735EU, Horizon 2020, 101119427Available from: 2025-08-29 Created: 2025-08-29 Last updated: 2025-08-29Bibliographically approved

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Kenner, Lukas

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