Abstract:

Objective  To evaluate the feasibility of identifying oral mucosa pathogenic bacteria by comparing the metabolic profiling of Saccharomyces and try to find a convenient and rapid way to discriminate oral micro-organisms. Methods  Saccharomyces albicans ATCC 10231 and Saccharomyces tropicalis ATCC 13803 and Saccharomyces gla-brata ATCC 15126 were respectively inoculated in sabouraud medium. The growth quantity were measured periodically by a spectrophotometer. And the growth curves of the inoculated bacteria were completed. The culture solutions in sta-tionary phases of the three bacteria were respectively tested with 1H-nuclear magnetic resonance（1H-NMR） spectros-copy. The data of 1H-NMR spectroscopy results were analyzed by principal components analysis（PCA）. Results  The PCA showed respectively a obvious clustering phenomena and the points of every two groups’ data stayed separately. Therefore, the NMR-based metabonomics profiles could discriminate the three kinds of mucosa pathogenic bacteria. Conclusion    The metabonomics can be expected to be a kind of promising useful method in quick discrimination of oral pathogenic bacteria.

Key words: metabonomics, nuclear magnetic resonance, Saccharomyces, principal components analysis