The rapid evaluation of bacterial growth and antibiotic susceptibility in blood cultures by selected ion flow tube mass spectrometry.

We have measured the production of volatile organic compounds (VOCs) by selected ion flow tube mass spectrometry (SIFT-MS) in the headspaces of conventional BacT/ALERT blood culture bottles (Biomerieux, Durham, NC) artificially infected with 5 bacterial strains. Uninfected blood samples were inoculated with Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus pneumoniae, Escherichia coli, and Neisseria meningitidis. Growth and species identification were determined at 6 h by measuring a panel of 9 VOC products. Two species, E. coli and S. aureus, were also incubated in the presence of gentamicin or flucloxacillin, respectively, above or below their demonstrated MIC. The concentration-dependent antibiotic susceptibility of both strains was demonstrated by the inhibition of VOC production at 22 h (P < .05). These results suggest incorporating SIFT-MS detection of microbial VOCs as a sensitive method for bacterial detection, identification, and determination of antibiotic susceptibility in a conventional blood culture system.

[1]  David Smith,et al.  Selected ion flow tube, SIFT, studies of the reactions of H3O+, NO+ and O2+ with compounds released by Pseudomonas and related bacteria , 2004 .

[2]  J. Wust,et al.  Presumptive diagnosis of anaerobic bacteremia by gas-liquid chromatography of blood cultures , 1977, Journal of clinical microbiology.

[3]  M. Phillips,et al.  Breath tests in medicine. , 1992, Scientific American.

[4]  Naresh Magan,et al.  Use of an electronic nose system for diagnoses of urinary tract infections. , 2002, Biosensors & bioelectronics.

[5]  P. Ein-Dor,et al.  Improving empirical antibiotic treatment: prospective, nonintervention testing of a decision support system , 1997, Journal of internal medicine.

[6]  L. Larsson,et al.  Detection of alcohols and volatile fatty acids by head-space gas chromatography in identification of anaerobic bacteria , 1978, Journal of clinical microbiology.

[7]  L. Larsson,et al.  Use of gas chromatography-mass spectrometry/solid phase microextraction for the identification of MVOCs from moldy building materials. , 2003, Journal of microbiological methods.

[8]  M. Dierich,et al.  Diagnosis of Bacteria In Vitro by Mass Spectrometric Fingerprinting:A Pilot Study , 2005, Current Microbiology.

[9]  H. Jeleń Use of solid phase microextraction (SPME) for profiling fungal volatile metabolites , 2003, Letters in applied microbiology.

[10]  R. Vinopal,et al.  Fingerprinting bacterial strains using ion mobility spectrometry , 2002 .

[11]  David Smith,et al.  Selected ion flow tube mass spectrometry (SIFT-MS) for on-line trace gas analysis. , 2005, Mass spectrometry reviews.

[12]  P. Španěl,et al.  Selected ion flow tube: a technique for quantitative trace gas analysis of air and breath , 1996, Medical and Biological Engineering and Computing.

[13]  J. Julák,et al.  Blood cultures evaluation by gas chromatography of volatile fatty acids. , 2000, Medical science monitor : international medical journal of experimental and clinical research.

[14]  G L Roberts,et al.  Fusobacterial infections: an underestimated threat. , 2000, British journal of biomedical science.

[15]  Something's rotten: a nosocomial outbreak of malodorous Pseudomonas aeruginosa. , 1998, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[16]  L. Larsson,et al.  Feasibility of automated head-space gas chromatography in identification of anaerobic bacteria. , 2009, Acta pathologica, microbiologica, et immunologica Scandinavica. Section B, Microbiology.

[17]  A. Nevalainen,et al.  Qualitative identification of volatile metabolites from two fungi and three bacteria species cultivated on two media. , 1998, Central European journal of public health.

[18]  J. Julák,et al.  Evaluation of exudates by solid phase microextraction-gas chromatography. , 2003, Journal of microbiological methods.

[19]  L. Larsson,et al.  ANALYSIS OF AMINES AND OTHER BACTERIAL PRODUCTS BY HEAD‐SPACE GAS CHROMATOGRAPHY , 1978, Acta pathologica et microbiologica Scandinavica. Section B, Microbiology.

[20]  A. Whyte,et al.  Lancefield grouping and smell of caramel for presumptive identification and assessment of pathogenicity in the Streptococcus milleri group. , 1997, Journal of clinical pathology.

[21]  R S Evans,et al.  Improving empiric antibiotic selection using computer decision support. , 1994, Archives of internal medicine.

[22]  A. Pavlou,et al.  Recognition of anaerobic bacterial isolates in vitro using electronic nose technology , 2002, Letters in applied microbiology.

[23]  Melissa D. Krebs,et al.  Species-specific bacteria identification using differential mobility spectrometry and bioinformatics pattern recognition. , 2005, Analytical chemistry.

[24]  S Andreassen,et al.  How do you choose antibiotic treatment? , 1999, BMJ.

[25]  Irini Angelidaki,et al.  Dynamics of the anaerobic process: effects of volatile fatty acids. , 2003, Biotechnology and bioengineering.

[26]  David Classen,et al.  Implementing Antibiotic Practice Guidelines through Computer-Assisted Decision Support: Clinical and Financial Outcomes , 1996, Annals of Internal Medicine.