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ZrO₂ nanoparticles labeled via a native protein corona : detection by fluorescence microscopy and Raman microspectroscopy in rat lungs

Titelangaben

Silge, Anja ; Bräutigam, Katharina ; Bocklitz, Thomas ; Rösch, Petra ; Vennemann, Antje ; Schmitz, Inge ; Popp, Jürgen ; Wiemann, Martin:
ZrO₂ nanoparticles labeled via a native protein corona : detection by fluorescence microscopy and Raman microspectroscopy in rat lungs.
In: Analyst. Bd. 140 (2015) Heft 15 . - S. 5120-5128.
ISSN 0003-2654
DOI: https://doi.org/10.1039/C5AN00942A

Volltext

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Abstract

ZrO2 nanoparticles are frequently used in composite materials such as dental fillers from where they may be released and inhaled upon polishing and grinding. Since the overall distribution of ZrO2 NP inside the lung parenchyma can hardly be observed by routine histology, here a labeling with a fluorphore was used secondary to the adsorption of serum proteins. Particles were then intratracheally instilled into rat lungs. After 3 h fluorescent structures consisted of agglomerates scattered throughout the lung parenchyma, which were mainly concentrated in alveolar macrophages after 3 d. A detection method based on Raman microspectroscopy was established to investigate the chemical composition of those fluorescent structures in detail. Raman measurements were arranged such that no spectral interference with the protein-bound fluorescence label was evident. Applying chemometrical methods, Raman signals of the ZrO2 nanomaterial were co-localized with the fluorescence label, indicating the stability of the nanomaterial-protein-dye complex inside the rat lung. The combination of Raman microspectroscopy and adsorptive fluorescence labeling may, therefore, become a useful tool for studying the localization of protein-coated nanomaterials in cells and tissues.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 530 Physik
Eingestellt am: 15 Mai 2023 09:07
Letzte Änderung: 15 Mai 2023 09:07
URI: https://eref.uni-bayreuth.de/id/eprint/76373