Literature DB >> 20582405

The influence of intracellular storage material on bacterial identification by means of Raman spectroscopy.

Valerian Ciobotă1, Eva-Maria Burkhardt, Wilm Schumacher, Petra Rösch, Kirsten Küsel, Jürgen Popp.   

Abstract

Previous studies dealing with bacterial identification by means of Raman spectroscopy have demonstrated that micro-Raman is a suitable technique for single-cell microbial identification. Raman spectra yield fingerprint-like information about all chemical components within one cell, and combined with multivariate methods, differentiation down to species or even strain level is possible. Many microorganisms may accumulate high amounts of polyhydroxyalkanoates (PHA) as carbon and energy storage materials within the cell and the Raman bands of PHA might impede the identification and differentiation of cells. To date, the identification by means of Raman spectroscopy have never been tested on bacteria which had accumulated PHA. Therefore, the aim of this study is to investigate the effect of intracellular polymer accumulation on the bacterial identification rate. Combining fluorescence imaging and Raman spectroscopy, we identified polyhydroxybutyrate (PHB) as a storage polymer accumulating in the investigated cells. The amount of energy storage material present within the cells was dependent on the physiological status of the microorganisms and strongly influenced the identification results. Bacteria in the stationary phase formed granules of crystalline PHB, which obstructed the Raman spectroscopic identification of bacterial species. The Raman spectra of bacteria in the exponential phase were dominated by signals from the storage material. However, the bands from proteins, lipids, and nucleic acids were not completely obscured by signals from PHB. Cells growing under either oxic or anoxic conditions could also be differentiated, suggesting that changes in Raman spectra can be interpreted as an indicator of different metabolic pathways. Although the presence of PHB induced severe changes in the Raman spectra, our results suggest that Raman spectroscopy can be successfully used for identification as long as the bacteria are not in the stationary phase.

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Year:  2010        PMID: 20582405     DOI: 10.1007/s00216-010-3895-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  6 in total

1.  Raman spectroscopy as a potential tool for detection of Brucella spp. in milk.

Authors:  Susann Meisel; Stephan Stöckel; Mandy Elschner; Falk Melzer; Petra Rösch; Jürgen Popp
Journal:  Appl Environ Microbiol       Date:  2012-06-01       Impact factor: 4.792

2.  Biochemical characterization of pathogenic bacterial species using Raman spectroscopy and discrimination model based on selected spectral features.

Authors:  Fernanda SantAna de Siqueira E Oliveira; Adriano Moraes da Silva; Marcos Tadeu Tavares Pacheco; Hector Enrique Giana; Landulfo Silveira
Journal:  Lasers Med Sci       Date:  2020-06-05       Impact factor: 3.161

3.  Quantitative Raman Spectroscopy Analysis of Polyhydroxyalkanoates Produced by Cupriavidus necator H16.

Authors:  Ota Samek; Stanislav Obruča; Martin Šiler; Petr Sedláček; Pavla Benešová; Dan Kučera; Ivana Márova; Jan Ježek; Silva Bernatová; Pavel Zemánek
Journal:  Sensors (Basel)       Date:  2016-10-28       Impact factor: 3.576

4.  Bacterial Community and PHB-Accumulating Bacteria Associated with the Wall and Specialized Niches of the Hindgut of the Forest Cockchafer (Melolontha hippocastani).

Authors:  Pol Alonso-Pernas; Erika Arias-Cordero; Alexey Novoselov; Christina Ebert; Jürgen Rybak; Martin Kaltenpoth; Martin Westermann; Ute Neugebauer; Wilhelm Boland
Journal:  Front Microbiol       Date:  2017-02-28       Impact factor: 5.640

Review 5.  In situ identification of environmental microorganisms with Raman spectroscopy.

Authors:  Dongyu Cui; Lingchao Kong; Yi Wang; Yuanqing Zhu; Chuanlun Zhang
Journal:  Environ Sci Ecotechnol       Date:  2022-05-21

6.  A Machine Learning-Based Raman Spectroscopic Assay for the Identification of Burkholderia mallei and Related Species.

Authors:  Amira A Moawad; Anja Silge; Thomas Bocklitz; Katja Fischer; Petra Rösch; Uwe Roesler; Mandy C Elschner; Jürgen Popp; Heinrich Neubauer
Journal:  Molecules       Date:  2019-12-10       Impact factor: 4.411

  6 in total

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