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Olschewski, Konstanze ; Kämmer, Evelyn ; Stöckel, Stephan ; Bocklitz, Thomas ; Deckert-Gaudig, Tanja ; Zell, Roland ; Cialla-May, Dana ; Weber, Karina ; Deckert, Volker ; Popp, Jürgen:
A Manual and an automatic TERS based virus discrimination.
In: Nanoscale.
Bd. 7
(2015)
Heft 10
.
- S. 4545-4552.
ISSN 2040-3372
DOI: https://doi.org/10.1039/C4NR07033J
Abstract
Rapid techniques for virus identification are more relevant today than ever. Conventional virus detection and identification strategies generally rest upon various microbiological methods and genomic approaches, which are not suited for the analysis of single virus particles. In contrast, the highly sensitive spectroscopic technique tip-enhanced Raman spectroscopy (TERS) allows the characterisation of biological nano-structures like virions on a single-particle level. In this study, the feasibility of TERS in combination with chemometrics to discriminate two pathogenic viruses, Varicella-zoster virus (VZV) and Porcine teschovirus (PTV), was investigated. In a first step, chemometric methods transformed the spectral data in such a way that a rapid visual discrimination of the two examined viruses was enabled. In a further step, these methods were utilised to perform an automatic quality rating of the measured spectra. Spectra that passed this test were eventually used to calculate a classification model, through which a successful discrimination of the two viral species based on TERS spectra of single virus particles was also realised with a classification accuracy of 91%.
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 12:59 |
| Letzte Änderung: | 15 Mai 2023 12:59 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76352 |