Analytical Chemistry · 2002 · 117 citations · 7 references
Life SciencesMicrobiologyDiagnostic MicrobiologyMass Spectrometric AnalysisMicrobial EcologyMass SpectrometryMicrobial AnalysisMicrobial IdentificationMicrobial SpeciationBacterial FingerprintingMaldi-tof Mass SpectrometryMass Spectrometry IdentificationMass Spectrometry-based IdentificationMass Spectrometry-based Microbial IdentificationMatrix-assisted Laser Desorption Ionization Time-of-flight Mass SpectrometryMatrix-assisted Laser Desorption/ionizationMatrix-assisted Laser Desorption/ionization Time-of-flight Mass Spectrometry
Many different laboratories are currently developing mass-spectrometric techniques to analyze and identify microorganisms. However, minimal work has been done with mixtures of bacteria. To demonstrate that microbial mixtures could be analyzed by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS), mixed bacterial cultures were analyzed in a double-blind fashion. Nine different bacterial species currently in our MALDI-MS fingerprint library were used to generate 50 different simulated mixed bacterial cultures similar to that done for an initial blind study previously reported (Jarman, K. H.; Cebula, S. T.; Saenz, A. J.; Petersen, C. E.; Valentine, N. B.; Kingsley, M. T.; Wahl, K. L. Anal. Chem. 2000, 72, 1217-1223). The samples were analyzed by MALDI-MS with automated data extraction and analysis algorithms developed in our laboratory. The components present in the sample were identified correctly to the species level in all but one of the samples. However, correctly eliminating closely related organisms was challenging for the current algorithms, especially in differentiating Serratia marcescens, Escherichia coli, and Yersinia enterocolitica, which have some similarities in their MALDI-MS fingerprints. Efforts to improve the specificity of the algorithms are in progress.
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Ricky D. Holland, Jon G. Wilkes, Fatemeh Rafii et al. · Rapid Communications in Mass Spectrometry · 1996 · 633 citations
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