Article ID Journal Published Year Pages File Type
9121378 FEMS Microbiology Letters 2005 6 Pages PDF
Abstract
Nuclear magnetic resonance (NMR) spectroscopy combined with a statistical classification strategy (SCS) successfully distinguished between Candida albicans and Candida dubliniensis. 96% of the isolates from an independent test set were identified correctly. This proves that this rapid approach is a valuable method for the identification and chemotaxonomic characterisation of closely related taxa. Most discriminatory regions were correlated with metabolite profiles, indicating biochemical differences between the two species.
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Life Sciences Biochemistry, Genetics and Molecular Biology Genetics
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