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Volatile organic compound analysis by ion molecule reaction mass spectrometry for Gram-positive bacteria differentiation.
Dolch, M E; Hornuss, C; Klocke, C; Praun, S; Villinger, J; Denzer, W; Schelling, G; Schubert, S.
Afiliação
  • Dolch ME; Department of Anesthesiology, University Hospital Großhadern, Ludwig-Maximilians-University of Munich, 81366, Munich, Germany. Michael.Dolch@med.uni-muenchen.de
Eur J Clin Microbiol Infect Dis ; 31(11): 3007-13, 2012 Nov.
Article em En | MEDLINE | ID: mdl-22782437
ABSTRACT
Approximately 50 % of all clinically proven infections in critically ill patients are caused by Gram-positive bacteria. The timely and appropriate treatment of these infections is vital in order to avoid negative outcomes. Hence, fast and reliable methods are needed for the early detection and identification of microorganisms. Recently, direct mass spectrometry-based analysis of volatile organic compounds emitted by microorganisms has been employed to study Gram-negative bacteria. Here, we report a feasibility study of ion molecule reaction mass spectrometry (IMR-MS) for in vitro growth detection and species differentiation of selected Gram-positive bacteria that are frequently isolated in blood culture samples, namely, Enterococcus faecalis, Enterococcus faecium, Staphylococcus aureus, and Staphylococcus epidermidis. Ion molecule reaction mass spectrometry was used to analyze the headspace above cultures containing Gram-positive bacteria incubated at 37 °C starting with 10(2) colony-forming units (CFU)/ml. Measurements to determine the presence of volatile organic compounds were performed 4, 8, and 24 h after incubation, respectively. The detection of microbial growth was accomplished already after 8 h in cultures containing E. faecalis. After 24 h of incubation, characteristic mass spectra were obtained for all species. Processing these mass spectra by hierarchic clustering and principal component analysis (PCA) enabled us to differentiate between bacterial species. IMR-MS in conjunction with a cumulative end-point model provides the means for rapid growth detection and differentiation of Gram-positive bacteria on the species level, typically within an analysis time of less than 3 min per sample.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Técnicas Bacteriológicas / Compostos Orgânicos Voláteis / Bactérias Gram-Positivas Tipo de estudo: Evaluation_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Eur J Clin Microbiol Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS / MICROBIOLOGIA Ano de publicação: 2012 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Técnicas Bacteriológicas / Compostos Orgânicos Voláteis / Bactérias Gram-Positivas Tipo de estudo: Evaluation_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Eur J Clin Microbiol Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS / MICROBIOLOGIA Ano de publicação: 2012 Tipo de documento: Article País de afiliação: Alemanha