Literature DB >> 10655628

Raman spectroscopic method for identification of clinically relevant microorganisms growing on solid culture medium.

K Maquelin1, L P Choo-Smith, T van Vreeswijk, H P Endtz, B Smith, R Bennett, H A Bruining, G J Puppels.   

Abstract

Routine clinical microbiological identification of pathogenic microorganisms is largely based on nutritional and biochemical tests. In the case of severely ill patients, the unavoidable time delay associated with such identification procedures can be fatal. We present a novel identification method based on confocal Raman microspectroscopy. With this approach it is possible to obtain Raman spectra directly from microbial microcolonies on the solid culture medium, which have developed after only 6 h of culturing for the most commonly encountered organisms. Due to the limited thickness of microcolonies, some of the underlying culture medium is sampled together with the bacteria. Spectra measured at different depths in a microcolony contain different amounts of the medium signal. A mathematical routine, involving vector algebra, is described for the nonsubjective correction of spectra for variable signal contributions of the medium. To illustrate the possibilities of our approach for the identification of microorganisms, Raman spectra were collected from 6-h microcolonies of five bacterial strains on solid culture medium. The classification results show that confocal Raman microspectroscopy has great potential as a powerful new tool in clinical diagnostic microbiology.

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Year:  2000        PMID: 10655628     DOI: 10.1021/ac991011h

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  38 in total

1.  Investigating microbial (micro)colony heterogeneity by vibrational spectroscopy.

Authors:  L P Choo-Smith; K Maquelin; T van Vreeswijk; H A Bruining; G J Puppels; N A Ngo Thi; C Kirschner; D Naumann; D Ami; A M Villa; F Orsini; S M Doglia; H Lamfarraj; G D Sockalingum; M Manfait; P Allouch; H P Endtz
Journal:  Appl Environ Microbiol       Date:  2001-04       Impact factor: 4.792

2.  Classification and identification of enterococci: a comparative phenotypic, genotypic, and vibrational spectroscopic study.

Authors:  C Kirschner; K Maquelin; P Pina; N A Ngo Thi; L P Choo-Smith; G D Sockalingum; C Sandt; D Ami; F Orsini; S M Doglia; P Allouch; M Mainfait; G J Puppels; D Naumann
Journal:  J Clin Microbiol       Date:  2001-05       Impact factor: 5.948

3.  Rapid identification of Candida species by confocal Raman microspectroscopy.

Authors:  K Maquelin; L P Choo-Smith; H P Endtz; H A Bruining; G J Puppels
Journal:  J Clin Microbiol       Date:  2002-02       Impact factor: 5.948

4.  Identification of different bacterial species in biofilms using confocal Raman microscopy.

Authors:  Brooke D Beier; Robert G Quivey; Andrew J Berger
Journal:  J Biomed Opt       Date:  2010 Nov-Dec       Impact factor: 3.170

5.  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

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.  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

8.  Antimicrobial susceptibility testing of Gram-positive and -negative bacterial isolates directly from spiked blood culture media with Raman spectroscopy.

Authors:  H E Dekter; C C Orelio; M C Morsink; S Tektas; B Vis; R Te Witt; W B van Leeuwen
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-09-08       Impact factor: 3.267

9.  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

10.  Rapid and sensitive detection of rotavirus molecular signatures using surface enhanced Raman spectroscopy.

Authors:  Jeremy D Driskell; Yu Zhu; Carl D Kirkwood; Yiping Zhao; Richard A Dluhy; Ralph A Tripp
Journal:  PLoS One       Date:  2010-04-19       Impact factor: 3.240

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