This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplemental material
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 HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Rebuffo-Scheer, C. A.
Right arrow Articles by Scherer, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rebuffo-Scheer, C. A.
Right arrow Articles by Scherer, S.
Agricola
Right arrow Articles by Rebuffo-Scheer, C. A.
Right arrow Articles by Scherer, S.

 Previous Article

Applied and Environmental Microbiology, February 2007, p. 1036-1040, Vol. 73, No. 3
0099-2240/07/$08.00+0     doi:10.1128/AEM.02004-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.

SHORT REPORT

Differentiation of Listeria monocytogenes Serovars by Using Artificial Neural Network Analysis of Fourier-Transformed Infrared Spectra{triangledown} ,{dagger}

Cecilia A. Rebuffo-Scheer,1 Jürgen Schmitt,2 and Siegfried Scherer1*

Abteilung Mikrobiologie, Zentralinstitut für Ernährungs- und Lebensmittelforschung, Technische Universität München, D-85350 Freising, Germany,1 Synthon GmbH, Im Neuenheimer Feld 583, D-69120 Heidelberg, Germany2

Received 23 August 2006/ Accepted 18 November 2006

A classification system based on Fourier transform infrared (FTIR) spectroscopy combined with artificial neural network analysis was designed to differentiate 12 serovars of Listeria monocytogenes using a reference database of 106 well-defined strains. External validation was performed using a test set of another 166 L. monocytogenes strains. The O antigens (serogroup) of 164 strains (98.8%) could be identified correctly, and H antigens were correctly determined in 152 (91.6%) of the test strains. Importantly, 40 out of 41 potentially epidemic serovar 4b strains were unambiguously identified. FTIR analysis is superior to PCR-based systems for serovar differentiation and has potential for the rapid, simultaneous identification of both species and serovar of an unknown Listeria isolate by simply measuring a whole-cell infrared spectrum.


* Corresponding author. Mailing address: Abteilung Mikrobiologie, Zentralinstitut für Ernährungs- und Lebensmittelforschung, Technische Universität München, Weihenstephaner Berg 3, D-85350 Freising, Germany. Phone: 49 8161 713516. Fax: 49 8161 714512. E-mail: siegfried.scherer{at}wzw.tum.de.

{triangledown} Published ahead of print on 1 December 2006.

{dagger} Supplemental material for this article may be found at http://aem.mcb.org/.


Applied and Environmental Microbiology, February 2007, p. 1036-1040, Vol. 73, No. 3
0099-2240/07/$08.00+0     doi:10.1128/AEM.02004-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.




This article has been cited by other articles:

  • Kuhm, A. E., Suter, D., Felleisen, R., Rau, J. (2009). Identification of Yersinia enterocolitica at the Species and Subspecies Levels by Fourier Transform Infrared Spectroscopy. Appl. Environ. Microbiol. 75: 5809-5813 [Abstract] [Full Text]