Literature DB >> 29909167

Label-free Raman characterization of bacteria calls for standardized procedures.

Cristina García-Timermans1, Peter Rubbens2, Frederiek-Maarten Kerckhof1, Benjamin Buysschaert1, Dmitry Khalenkow3, Willem Waegeman2, Andre G Skirtach3, Nico Boon4.   

Abstract

Raman spectroscopy has gained relevance in single-cell microbiology for its ability to detect bacterial (sub)populations in a non-destructive and label-free way. However, the Raman spectrum of a bacterium can be heavily affected by abiotic factors, which may influence the interpretation of experimental results. Additionally, there is no publicly available standard for the annotation of metadata describing sample preparation and acquisition of Raman spectra. This article explores the importance of sample manipulations when measuring bacterial subpopulations using Raman spectroscopy. Based on the results of this study and previous findings in literature we propose a Raman metadata standard that incorporates the minimum information that is required to be reported in order to correctly interpret data from Raman spectroscopy experiments. Its aim is twofold: 1) mitigate technical noise due to sample preparation and manipulation and 2) improve reproducibility in Raman spectroscopy experiments studying microbial communities.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Label-free Raman spectroscopy; Phenotypic identification; Raman standardization; Single-cell analysis

Mesh:

Year:  2018        PMID: 29909167     DOI: 10.1016/j.mimet.2018.05.027

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  6 in total

1.  Coculturing Bacteria Leads to Reduced Phenotypic Heterogeneities.

Authors:  Jasmine Heyse; Benjamin Buysschaert; Ruben Props; Peter Rubbens; Andre G Skirtach; Willem Waegeman; Nico Boon
Journal:  Appl Environ Microbiol       Date:  2019-04-04       Impact factor: 4.792

2.  Discrimination of Stressed and Non-Stressed Food-Related Bacteria Using Raman-Microspectroscopy.

Authors:  Daniel Klein; René Breuch; Jessica Reinmüller; Carsten Engelhard; Peter Kaul
Journal:  Foods       Date:  2022-05-22

3.  Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning.

Authors:  Benjamin Lundquist Thomsen; Jesper B Christensen; Olga Rodenko; Iskander Usenov; Rasmus Birkholm Grønnemose; Thomas Emil Andersen; Mikael Lassen
Journal:  Sci Rep       Date:  2022-09-30       Impact factor: 4.996

4.  Raman Spectroscopy-Based Measurements of Single-Cell Phenotypic Diversity in Microbial Populations.

Authors:  Cristina García-Timermans; Ruben Props; Boris Zacchetti; Myrsini Sakarika; Frank Delvigne; Nico Boon
Journal:  mSphere       Date:  2020-10-28       Impact factor: 4.389

Review 5.  Applications of Raman Spectroscopy in Bacterial Infections: Principles, Advantages, and Shortcomings.

Authors:  Liang Wang; Wei Liu; Jia-Wei Tang; Jun-Jiao Wang; Qing-Hua Liu; Peng-Bo Wen; Meng-Meng Wang; Ya-Cheng Pan; Bing Gu; Xiao Zhang
Journal:  Front Microbiol       Date:  2021-07-19       Impact factor: 5.640

6.  Isolation of bacteria from artificial bronchoalveolar lavage fluid using density gradient centrifugation and their accessibility by Raman spectroscopy.

Authors:  Christina Wichmann; Petra Rösch; Jürgen Popp
Journal:  Anal Bioanal Chem       Date:  2021-07-02       Impact factor: 4.142

  6 in total

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