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Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria

Presently, 2 to 4 days elapse between sampling at infection suspicion and result of microbial diagnostics. This delay for the identification of pathogens causes quite often a late and/or inappropriate initiation of therapy for patients suffering from infections. Bad outcome and high hospitalization...

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Autores principales: Jünger, Melanie, Vautz, Wolfgang, Kuhns, Martin, Hofmann, Lena, Ulbricht, Siobhán, Baumbach, Jörg Ingo, Quintel, Michael, Perl, Thorsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605498/
https://www.ncbi.nlm.nih.gov/pubmed/22327321
http://dx.doi.org/10.1007/s00253-012-3924-4
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author Jünger, Melanie
Vautz, Wolfgang
Kuhns, Martin
Hofmann, Lena
Ulbricht, Siobhán
Baumbach, Jörg Ingo
Quintel, Michael
Perl, Thorsten
author_facet Jünger, Melanie
Vautz, Wolfgang
Kuhns, Martin
Hofmann, Lena
Ulbricht, Siobhán
Baumbach, Jörg Ingo
Quintel, Michael
Perl, Thorsten
author_sort Jünger, Melanie
collection PubMed
description Presently, 2 to 4 days elapse between sampling at infection suspicion and result of microbial diagnostics. This delay for the identification of pathogens causes quite often a late and/or inappropriate initiation of therapy for patients suffering from infections. Bad outcome and high hospitalization costs are the consequences of these currently existing limited pathogen identification possibilities. For this reason, we aimed to apply the innovative method multi-capillary column–ion mobility spectrometry (MCC-IMS) for a fast identification of human pathogenic bacteria by determination of their characteristic volatile metabolomes. We determined volatile organic compound (VOC) patterns in headspace of 15 human pathogenic bacteria, which were grown for 24 h on Columbia blood agar plates. Besides MCC-IMS determination, we also used thermal desorption–gas chromatography–mass spectrometry measurements to confirm and evaluate obtained MCC-IMS data and if possible to assign volatile compounds to unknown MCC-IMS signals. Up to 21 specific signals have been determined by MCC-IMS for Proteus mirabilis possessing the most VOCs of all investigated strains. Of particular importance is the result that all investigated strains showed different VOC patterns by MCC-IMS using positive and negative ion mode for every single strain. Thus, the discrimination of investigated bacteria is possible by detection of their volatile organic compounds in the chosen experimental setup with the fast and cost-effective method MCC-IMS. In a hospital routine, this method could enable the identification of pathogens already after 24 h with the consequence that a specific therapy could be initiated significantly earlier.
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spelling pubmed-36054982013-03-25 Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria Jünger, Melanie Vautz, Wolfgang Kuhns, Martin Hofmann, Lena Ulbricht, Siobhán Baumbach, Jörg Ingo Quintel, Michael Perl, Thorsten Appl Microbiol Biotechnol Methods and Protocols Presently, 2 to 4 days elapse between sampling at infection suspicion and result of microbial diagnostics. This delay for the identification of pathogens causes quite often a late and/or inappropriate initiation of therapy for patients suffering from infections. Bad outcome and high hospitalization costs are the consequences of these currently existing limited pathogen identification possibilities. For this reason, we aimed to apply the innovative method multi-capillary column–ion mobility spectrometry (MCC-IMS) for a fast identification of human pathogenic bacteria by determination of their characteristic volatile metabolomes. We determined volatile organic compound (VOC) patterns in headspace of 15 human pathogenic bacteria, which were grown for 24 h on Columbia blood agar plates. Besides MCC-IMS determination, we also used thermal desorption–gas chromatography–mass spectrometry measurements to confirm and evaluate obtained MCC-IMS data and if possible to assign volatile compounds to unknown MCC-IMS signals. Up to 21 specific signals have been determined by MCC-IMS for Proteus mirabilis possessing the most VOCs of all investigated strains. Of particular importance is the result that all investigated strains showed different VOC patterns by MCC-IMS using positive and negative ion mode for every single strain. Thus, the discrimination of investigated bacteria is possible by detection of their volatile organic compounds in the chosen experimental setup with the fast and cost-effective method MCC-IMS. In a hospital routine, this method could enable the identification of pathogens already after 24 h with the consequence that a specific therapy could be initiated significantly earlier. Springer-Verlag 2012-02-12 2012-03 /pmc/articles/PMC3605498/ /pubmed/22327321 http://dx.doi.org/10.1007/s00253-012-3924-4 Text en © Springer-Verlag 2012
spellingShingle Methods and Protocols
Jünger, Melanie
Vautz, Wolfgang
Kuhns, Martin
Hofmann, Lena
Ulbricht, Siobhán
Baumbach, Jörg Ingo
Quintel, Michael
Perl, Thorsten
Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria
title Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria
title_full Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria
title_fullStr Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria
title_full_unstemmed Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria
title_short Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria
title_sort ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria
topic Methods and Protocols
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605498/
https://www.ncbi.nlm.nih.gov/pubmed/22327321
http://dx.doi.org/10.1007/s00253-012-3924-4
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