Study of the Phenolic Profile of Cider Apple Cultivars at Maturity by Multivariate Techniques
Abstract
Phenolic compounds in 46 Spanish cider apple varieties were determined by RP-HPLC with direct injection. Several pattern recognition procedures, including principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares (PLS-1), were applied to the data in an attempt to classify the samples into bitter and nonbitter categories. Reliable decision rules were obtained by both LDA and PLS-1. LDA achieved 91.3 and 85.7% correct classification respectively, for internal and external evaluation of the model.
Keywords: Cider apple; polyphenols; direct injection HPLC; chemometric
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Author to whom correspondence should be addressed (telephone 34-85890066; fax 34-85891854; e-mail juanjoma@ princast.es).
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