AI Article Synopsis

  • The study explored the use of pyrolysis mass spectrometry for quickly identifying food-borne bacterial pathogens, specifically various isolates of the Vibrio species.
  • Different methods, such as principal component-discriminant analysis, were utilized to analyze the mass spectra and differentiate Vibrio isolates based on species, serotype, and gene expression.
  • Results indicated that this method could effectively profile Vibrio isolates, suggesting it may have practical applications in clinical and public health diagnostics.

Article Abstract

Pyrolysis mass spectrometry was investigated for rapid characterization of food-borne bacterial pathogens. Nine isolates of Vibrio parahaemolyticus and one isolate each of Vibrio fluvialis, Vibrio hollisae, and Vibrio vulnificus were analyzed. Pyrolysis mass spectra, generated via an alternative ionization method, metastable atom bombardment, were subject to principal component-discriminant analysis. The spectral patterns were used to distinguish Vibrio isolates differing in species, serotype and expression of the thermostable direct hemolysin gene. The patterns of similarity and dissimilarity amongst spectra in the Vibrio test set generally reflected those associated with species, serotype or hemolysin-producing genes, though the combined influence of these and other variables in the multi-dimensional data did not produce a simple clustering with respect to any one of these characteristics. These results suggested that with enough examples to model the most common combinations, the method should be able to characterize Vibrio isolates according to their phenotypic characteristics. Pyrolysis-mass spectrometry with metastable atom bombardment and pattern recognition appeared suitable for rapid infraspecific comparison of Vibrio isolates. This integrated analytical, pattern-recognition system should be examined further for potential utility in clinical and public health diagnostic contexts.

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http://dx.doi.org/10.1007/s10482-005-3990-zDOI Listing

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