Literature DB >> 11000428

Single-cell analysis of bacteria by Raman microscopy: spectral information on the chemical composition of cells and on the heterogeneity in a culture.

K C Schuster1, E Urlaub, J R Gapes.   

Abstract

In the acetone-butanol (ABE) fermentation process, the utilised organisms from the group of the solventogenic Clostridia go through a complex cell-cycle. The role of different cell types in product formation is not understood in detail yet. We aim to use Raman spectroscopy to characterise the population distribution in Clostridium cultures. Cell suspensions were dried on calcium fluoride carriers. Raman spectra of single cells were obtained using a confocal Raman microscope (Dilor, Lille, France). The laser beam was focused on individual cells through the microscope objective. Spectra with good signal-to-noise ratio were obtained. Cells of different morphology, but also apparently similar cells, showed different spectra. Several cell components could be detected and varied in quantity. Compared to other methods for single-cell analysis, the new method is much more time-consuming to analyse one individual cell. However, a large amount of chemical information is obtained from each single cell in a non-destructive, non-invasive way. Raman microscopy appears to be a suitable method for studying population distributions in bacterial cultures.

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Year:  2000        PMID: 11000428     DOI: 10.1016/s0167-7012(00)00169-x

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


  33 in total

Review 1.  Single-cell microbiology: tools, technologies, and applications.

Authors:  Byron F Brehm-Stecher; Eric A Johnson
Journal:  Microbiol Mol Biol Rev       Date:  2004-09       Impact factor: 11.056

2.  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

3.  Fourier transform infrared and raman spectroscopy for characterization of Listeria monocytogenes strains.

Authors:  Astrid Oust; Trond Møretrø; Kristine Naterstad; Ganesh D Sockalingum; Isabelle Adt; Michel Manfait; Achim Kohler
Journal:  Appl Environ Microbiol       Date:  2006-01       Impact factor: 4.792

4.  Chemotaxonomic identification of single bacteria by micro-Raman spectroscopy: application to clean-room-relevant biological contaminations.

Authors:  Petra Rösch; Michaela Harz; Michael Schmitt; Klaus-Dieter Peschke; Olaf Ronneberger; Hans Burkhardt; Hans-Walter Motzkus; Markus Lankers; Stefan Hofer; Hans Thiele; Jürgen Popp
Journal:  Appl Environ Microbiol       Date:  2005-03       Impact factor: 4.792

5.  Raman spectroscopy detects biochemical changes due to proliferation in mammalian cell cultures.

Authors:  Kurt W Short; Susan Carpenter; James P Freyer; Judith R Mourant
Journal:  Biophys J       Date:  2005-03-11       Impact factor: 4.033

6.  Raman spectroscopic measurement of relative concentrations in mixtures of oral bacteria.

Authors:  Qingyuan Zhu; Robert G Quivey; Andrew J Berger
Journal:  Appl Spectrosc       Date:  2007-11       Impact factor: 2.388

7.  Development and application of flow-cytometric techniques for analyzing and sorting endospore-forming clostridia.

Authors:  Bryan P Tracy; Stefan M Gaida; Eleftherios T Papoutsakis
Journal:  Appl Environ Microbiol       Date:  2008-10-17       Impact factor: 4.792

8.  Spatial Mapping of Pyocyanin in Pseudomonas Aeruginosa Bacterial Communities Using Surface Enhanced Raman Scattering.

Authors:  Sneha Polisetti; Nameera F Baig; Nydia Morales-Soto; Joshua D Shrout; Paul W Bohn
Journal:  Appl Spectrosc       Date:  2016-07-20       Impact factor: 2.388

Review 9.  Determining biological noise via single cell analysis.

Authors:  Edgar A Arriaga
Journal:  Anal Bioanal Chem       Date:  2008-10-29       Impact factor: 4.142

10.  Surface enhanced Raman spectroscopy (SERS) for the discrimination of Arthrobacter strains based on variations in cell surface composition.

Authors:  Kate E Stephen; Darren Homrighausen; Glen DePalma; Cindy H Nakatsu; Joseph Irudayaraj
Journal:  Analyst       Date:  2012-07-30       Impact factor: 4.616

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