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The application of label-free Raman microscopy to monitor particle-cell interactions in in vitro experiments

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Titel: The application of label-free Raman microscopy to monitor particle-cell interactions in in vitro experiments
Autoren: Ghosh, Manosij, Ronsmans, Steven, Hoet, Peter H.M.
Quelle: Comput Struct Biotechnol J
Verlagsinformationen: Elsevier BV, 2025.
Publikationsjahr: 2025
Schlagwörter: Biochemistry & Molecular Biology, Microscopy, 3101 Biochemistry and cell biology, Science & Technology, SPECTROSCOPY, 0103 Numerical and Computational Mathematics, Short Communication, Particle uptake, 4601 Applied computing, DNA, NANOPARTICLE UPTAKE, Raman microscopy, Biotechnology & Applied Microbiology, TiO2, Nanotoxicology, Life Sciences & Biomedicine, 0802 Computation Theory and Mathematics
Beschreibung: Characterizing particle–cell interactions is a critical component of nanotoxicology research, complementing material characterization to better interpret observed biological effects and explore dose–response relationships. However, accurate assessment of particle uptake remains challenging due to limitations in distinguishing internalized particles from those bound to the cell surface, labor-intensive sample preparation, and constraints in quantification methods. To address these challenges, label-free techniques with minimal sample processing are being explored. In this study, we present findings from a series of experiments using confocal Raman microscopy as a non-destructive, label-free method to evaluate particle–cell interactions. Suspensions of anatase (NM-102; 21 ± 10 nm) and rutile (NM-104; 26 ± 10 nm) TiO₂ nanoparticles were analyzed in two in vitro models: THP-1 (suspension) and 16HBE14o− (adherent) cells. Raman spectral analysis enabled the detection of cell-associated particles based on their unique chemical fingerprints. We further observed concentration-dependent trends in particle–cell interaction using semi-quantitative metrics such as particle area and spectral match. Lastly, optimal scan parameters were identified to improve detection efficiency while preserving simple sample preparation workflows.
Publikationsart: Article
Other literature type
Sprache: English
ISSN: 2001-0370
DOI: 10.1016/j.csbj.2025.06.002
Zugangs-URL: https://lirias.kuleuven.be/handle/20.500.12942/767371
https://doi.org/10.1016/j.csbj.2025.06.002
Rights: CC BY
Dokumentencode: edsair.doi.dedup.....b666f8336d2ceb8dda831ea14da51b49
Datenbank: OpenAIRE
Beschreibung
Abstract:Characterizing particle–cell interactions is a critical component of nanotoxicology research, complementing material characterization to better interpret observed biological effects and explore dose–response relationships. However, accurate assessment of particle uptake remains challenging due to limitations in distinguishing internalized particles from those bound to the cell surface, labor-intensive sample preparation, and constraints in quantification methods. To address these challenges, label-free techniques with minimal sample processing are being explored. In this study, we present findings from a series of experiments using confocal Raman microscopy as a non-destructive, label-free method to evaluate particle–cell interactions. Suspensions of anatase (NM-102; 21 ± 10 nm) and rutile (NM-104; 26 ± 10 nm) TiO₂ nanoparticles were analyzed in two in vitro models: THP-1 (suspension) and 16HBE14o− (adherent) cells. Raman spectral analysis enabled the detection of cell-associated particles based on their unique chemical fingerprints. We further observed concentration-dependent trends in particle–cell interaction using semi-quantitative metrics such as particle area and spectral match. Lastly, optimal scan parameters were identified to improve detection efficiency while preserving simple sample preparation workflows.
ISSN:20010370
DOI:10.1016/j.csbj.2025.06.002