| Title: | GC-IMS headspace analyses allow early recognition of bacterial growth and rapid pathogen differentiation in standard blood cultures |
| Author(s): | Drees C; Vautz W; Liedtke S; Rosin C; Althoff K; Lippmann M; Zimmermann S; Legler TJ; Yildiz D; Perl T; Kunze-Szikszay N; |
| Address: | "Leibniz-Institut fur Analytische Wissenschaften - ISAS - e.V., Bunsen-Kirchhoff-Str. 11, 44139, Dortmund, Germany. ION-GAS GmbH, Konrad-Adenauer-Allee 11, 44263, Dortmund, Germany. G.A.S. - Gesellschaft fur analytische Sensorsysteme GmbH, Otto-Hahn-Str. 15, 44227, Dortmund, Germany. Institut fur Grundlagen der Elektrotechnik und Messtechnik, Leibniz Universitat Hannover, Appelstr. 9A, 30167, Hannover, Germany. Department of Transfusion Medicine, University Medical Center Gottingen, Robert-Koch-Strasse 40, 37075, Gottingen, Germany. Department of Anesthesiology, University Medical Center Gottingen, Robert-Koch-Strasse 40, 37075, Gottingen, Germany. Department of General, Visceral and Pediatric Surgery, University Medical Center Gottingen, Robert-Koch-Strasse 40, 37075, Gottingen, Germany. Department of Anesthesiology, University Medical Center Gottingen, Robert-Koch-Strasse 40, 37075, Gottingen, Germany. nkunze@gwdg.de" |
| Journal Title: | Appl Microbiol Biotechnol |
| DOI: | 10.1007/s00253-019-10181-x |
| ISSN/ISBN: | 1432-0614 (Electronic) 0175-7598 (Linking) |
| Abstract: | "Outcome of patients with blood stream infections (BSI) depends on the rapid initiation of adequate antibiotic therapy, which relies on the fast and reliable identification of the underlying pathogen. Blood cultures (BC) using CO(2)-sensitive colorimetric indicators and subsequent microbiological culturing are the diagnostic gold standard but turnaround times range between 24 and 48 h. The detection of volatile organic compounds of microbial origin (mVOC) has been described as a feasible method for identifying microbial growth and to differentiate between several microbial species. In this study, we aimed to investigate the ability of mVOC analyses using a gas chromatograph coupled to an ion mobility spectrometer (GC-IMS) for the recognition of bacterial growth and bacterial differentiation in BCs. Therefore, samples of whole blood and diluted bacterial suspension were injected into aerobic and anaerobic BC bottles and incubated for 8 h. Headspace samples from cultures of Escherichia coli (DSM 25944), Staphylococcus aureus (DSM 13661), and Pseudomonas aeruginosa (DSM 1117) were investigated hourly and we determined at which point of time a differentiation between the bacteria was possible. We found specific mVOC signals in the headspace over growing BCs of all three bacterial species. GC-IMS headspace analyses allowed faster recognition of bacterial growth than the colorimetric indicator of the BCs. A differentiation between the three investigated species was possible after 6 h of incubation with a high reliability in the principal component analysis. We concluded that GC-IMS headspace analyses could be a helpful method for the rapid detection and identification of bacteria in BSI" |
| Keywords: | Bacteremia/*diagnosis/microbiology/mortality Bacterial Typing Techniques/*methods Blood Culture Escherichia coli/*classification/growth & development/isolation & purification Gas Chromatography-Mass Spectrometry Humans Principal Component Analysis Pseudom; |
| Notes: | "MedlineDrees, Carolin Vautz, Wolfgang Liedtke, Sascha Rosin, Christopher Althoff, Kirsten Lippmann, Martin Zimmermann, Stefan Legler, Tobias J Yildiz, Duygu Perl, Thorsten Kunze-Szikszay, Nils eng FKZ 13GW0191A-E/German Federal Ministry of Education and Research/ Germany 2019/10/31 Appl Microbiol Biotechnol. 2019 Nov; 103(21-22):9091-9101. doi: 10.1007/s00253-019-10181-x. Epub 2019 Oct 30" |
