Bacterial identification in real samples by means of micro-Raman spectroscopy

Petra Rösch; Stephan Stöckel; Susann Meisel; Anja Bossecker; Ute Münchberg; Sandra Kloss; Wilm Schumacher; Jürgen Popp

doi:10.1117/12.890085

8 June 2011 Bacterial identification in real samples by means of micro-Raman spectroscopy

Petra Rösch, Stephan Stöckel, Susann Meisel, Anja Bossecker, Ute Münchberg, Sandra Kloss, Wilm Schumacher, Jürgen Popp

Proceedings Volume 8087, Clinical and Biomedical Spectroscopy and Imaging II; 808708 (2011) https://doi.org/10.1117/12.890085
Event: European Conferences on Biomedical Optics, 2011, Munich, Germany

Abstract

Pathogen detection is essential without time delay especially for severe diseases like sepsis. Here, the survival rate is dependent on a prompt antibiosis. For sepsis three hours after the onset of shock the survival rate of the patient drops below 60 %. Unfortunately, the results from standard diagnosis methods like PCR or microbiology can normally be received after 12 or 36 h, respectively. Therefore diagnosis methods which require less cultivation or even no cultivation at all have to be established for medical diagnosis. Here, Raman spectroscopy, as a vibrational spectroscopic method, is a very sensitive and selective approach and monitors the biochemical composition of the investigated sample. Applying micro-Raman spectroscopy allows for a spatial resolution below 1 μm and is therefore in the size range of bacteria. Raman spectra of bacteria depend on the physiological status. Therefore, the databases require the inclusion of the necessary environmental parameters such as temperature, pH, nutrition, etc. Such large databases therefore require a specialized chemometric approach, since the variation between different strains is small. In this contribution we will demonstrate the capability of Raman spectroscopy to identify pathogens without cultivation even from real environmental or medical samples.

Citation Download Citation

Petra Rösch, Stephan Stöckel, Susann Meisel, Anja Bossecker, Ute Münchberg, Sandra Kloss, Wilm Schumacher, and Jürgen Popp "Bacterial identification in real samples by means of micro-Raman spectroscopy", Proc. SPIE 8087, Clinical and Biomedical Spectroscopy and Imaging II, 808708 (8 June 2011); https://doi.org/10.1117/12.890085

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