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Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms

Overview
Journal Molecules
Publisher MDPI
Specialty Biology
Date 2024 Mar 13
PMID 38474589
Authors
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Abstract

Raman spectroscopy is an emerging method for the identification of bacteria. Nevertheless, a lot of different parameters need to be considered to establish a reliable database capable of identifying real-world samples such as medical or environmental probes. In this review, the establishment of such reliable databases with the proper design in microbiological Raman studies is demonstrated, shining a light into all the parts that require attention. Aspects such as the strain selection, sample preparation and isolation requirements, the phenotypic influence, measurement strategies, as well as the statistical approaches for discrimination of bacteria, are presented. Furthermore, the influence of these aspects on spectra quality, result accuracy, and read-out are discussed. The aim of this review is to serve as a guide for the design of microbiological Raman studies that can support the establishment of this method in different fields.

Citing Articles

Lighting the Path: Raman Spectroscopy's Journey Through the Microbial Maze.

Salbreiter M, Frempong S, Even S, Wagenhaus A, Girnus S, Rosch P Molecules. 2025; 29(24).

PMID: 39770046 PMC: 11870064. DOI: 10.3390/molecules29245956.

References
1.
Yamamoto T, Taylor J, Koseki S, Koyama K . Classification of food spoilage bacterial species and their sodium chloride, sodium acetate and glycine tolerance using chemometrics analysis and Raman spectroscopy. J Microbiol Methods. 2021; 190:106326. DOI: 10.1016/j.mimet.2021.106326. View

2.
Klein D, Breuch R, von der Mark S, Wickleder C, Kaul P . Detection of spoilage associated bacteria using Raman-microspectroscopy combined with multivariate statistical analysis. Talanta. 2019; 196:325-328. DOI: 10.1016/j.talanta.2018.12.094. View

3.
Liu B, Liu K, Wang N, Ta K, Liang P, Yin H . Laser tweezers Raman spectroscopy combined with deep learning to classify marine bacteria. Talanta. 2022; 244:123383. DOI: 10.1016/j.talanta.2022.123383. View

4.
Garcia-Timermans C, Rubbens P, Kerckhof F, Buysschaert B, Khalenkow D, Waegeman W . Label-free Raman characterization of bacteria calls for standardized procedures. J Microbiol Methods. 2018; 151:69-75. DOI: 10.1016/j.mimet.2018.05.027. View

5.
Stockel S, Meisel S, Elschner M, Melzer F, Rosch P, Popp J . Raman spectroscopic detection and identification of Burkholderia mallei and Burkholderia pseudomallei in feedstuff. Anal Bioanal Chem. 2014; 407(3):787-94. DOI: 10.1007/s00216-014-7906-5. View