at Google ScholarTitle data
Nakar, Amir ; Pistiki, Aikaterini ; Ryabchykov, Oleg ; Bocklitz, Thomas ; Rösch, Petra ; Popp, Jürgen:
Label‐free differentiation of clinical E. coli and Klebsiella isolates with Raman spectroscopy.
In: Journal of Biophotonics.
Vol. 15
(2022)
Issue 7
.
- e202200005.
ISSN 1864-0648
DOI: https://doi.org/10.1002/jbio.202200005
Abstract in another language
Raman spectroscopy is a promising spectroscopic technique for microbiological diagnostics. In routine diagnostic, the differentiation of pathogens of the Enterobacteriaceae family remain challenging. In this study, Raman spectroscopy was applied for the differentiation of 24 clinical E. coli, Klebsiella pneumoniae and Klebsiella oxytoca isolates. Spectra were collected with two spectroscopic approaches: UV-Resonance Raman spectroscopy (UVRR) and single-cell Raman microspectroscopy with 532 nm excitation. A description of the different biochemical profiles provided by the different excitation wavelengths was performed followed by machine-learning models for the classification at the genus and species levels. UVRR was shown to outperform 532 nm excitation, enabling correct classification at the genus level of 23/24 isolates. Furthermore, for the first time, Klebsiella species were correctly classified at the species level with 92% accuracy, classifying all three K. oxytoca isolates correctly. These findings should guide future applicative studies, increasing the scope of Raman spectroscopy's suitability for clinical applications.
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: | 31 May 2023 12:53 |
| Last Modified: | 31 May 2023 12:53 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/81068 |