This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowReprints and Permissions
Right arrow Copyright Information
Right arrow Books from ASM Press
Right arrow MicrobeWorld
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Rösch, P.
Right arrow Articles by Popp, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rösch, P.
Right arrow Articles by Popp, J.
Agricola
Right arrow Articles by Rösch, P.
Right arrow Articles by Popp, J.

 Previous Article  |  Next Article 

Applied and Environmental Microbiology, March 2005, p. 1626-1637, Vol. 71, No. 3
0099-2240/05/$08.00+0     doi:10.1128/AEM.71.3.1626-1637.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.

Chemotaxonomic Identification of Single Bacteria by Micro-Raman Spectroscopy: Application to Clean-Room-Relevant Biological Contaminations

Petra Rösch,1 Michaela Harz,1 Michael Schmitt,1 Klaus-Dieter Peschke,2 Olaf Ronneberger,2 Hans Burkhardt,2 Hans-Walter Motzkus,3 Markus Lankers,4 Stefan Hofer,5 Hans Thiele,5 and Jürgen Popp1*

Institut für Physikalische Chemie, Friedrich-Schiller-Universität Jena, Jena,1 Lehrstuhl für Mustererkennung und Bildverarbeitung, Institut für Informatik, Albert-Ludwigs-Universität Freiburg, Freiburg,2 Schering AG,3 rap.ID Particle Systems GmbH, Berlin,4 Kayser-Threde GmbH, Munich, Germany5

Received 10 June 2004/ Accepted 29 September 2004

Microorganisms, such as bacteria, which might be present as contamination inside an industrial food or pharmaceutical clean room process need to be identified on short time scales in order to minimize possible health hazards as well as production downtimes causing financial deficits. Here we describe the first results of single-particle micro-Raman measurements in combination with a classification method, the so-called support vector machine technique, allowing for a fast, reliable, and nondestructive online identification method for single bacteria.

* Corresponding author. Mailing address: Institut für Physikalische Chemie, Friedrich-Schiller-Universität Jena, Helmholtzweg 4, D-07743 Jena, Germany. Phone: (49-3641) 948320. Fax: (49-3641) 948302. E-mail: Juergen.popp{at}uni-jena.de.

Applied and Environmental Microbiology, March 2005, p. 1626-1637, Vol. 71, No. 3
0099-2240/05/$08.00+0     doi:10.1128/AEM.71.3.1626-1637.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.





Copyright © 2009 by the American Society for Microbiology.   For an alternate route to Journals.ASM.org, visit: http://intl-journals.asm.org | More Info»