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

Title data

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. Vol. 140 (2015) Issue 15 . - pp. 5120-5128.
ISSN 0003-2654
DOI: https://doi.org/10.1039/C5AN00942A

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Abstract in another language

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.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Result of work at the UBT:	No
DDC Subjects:	500 Science > 530 Physics
Date Deposited:	15 May 2023 09:07
Last Modified:	15 May 2023 09:07
URI:	https://eref.uni-bayreuth.de/id/eprint/76373