Issue 17, 2022

Raman spectroscopy for the differentiation of Enterobacteriaceae: a comparison of two methods

Abstract

Enterobacteriaceae are the leading cause of urinary tract infections, and include pathogens such as E. coli, K. pneumoniae and P. mirabilis. Due to their similarity, the correct identification of these pathogens is difficult and time-consuming. Raman spectroscopy has been demonstrated extensively as a tool for rapid microbiological differentiation. However, for pathogenic Enterobacteriaceae the application of Raman spectroscopy has been particularly challenging. In this study, two promising methods for Raman-based microbiological diagnostics were compared for differentiating Enterobacteriaceae. Spectra were collected from single-cells with Raman microspectroscopy and from colonies on agar with an NIR Raman fiber-probe. A comprehensive dataset of spectra from 8 different, clinically relevant, genera was collected. Visually, the spectra obtained from both methods presented little difference between the genera. For classification, single cell analysis yielded limited results, while the fiber-probe spectra enabled perfect classification of all 16 isolates. Moreover, the model was validated on new replicates and 15/16 strains were correctly identified (94% overall accuracy). This is the first study to focus on the closely related Enterobacteriaceae, who have previously been avoided or differentiated poorly. It shows how, with the correct spectroscopic setup, even challenging questions in clinical microbiology can be resolved with Raman spectroscopy, highlighting the method's potential for improving patient care.

Graphical abstract: Raman spectroscopy for the differentiation of Enterobacteriaceae: a comparison of two methods

Supplementary files

Article information

Article type
Paper
Submitted
16 May 2022
Accepted
02 Aug 2022
First published
03 Aug 2022

Analyst, 2022,147, 3938-3946

Raman spectroscopy for the differentiation of Enterobacteriaceae: a comparison of two methods

A. Nakar, A. Wagenhaus, P. Rösch and J. Popp, Analyst, 2022, 147, 3938 DOI: 10.1039/D2AN00822J

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