Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9121378 | FEMS Microbiology Letters | 2005 | 6 Pages |
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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Authors
Uwe Himmelreich, Ray L. Somorjai, Brion Dolenko, Heide-Marie Daniel, Tania C. Sorrell,