Study of the Phenolic Profile of Cider Apple Cultivars at Maturity by Multivariate Techniques

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...

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Veröffentlicht in:Journal of agricultural and food chemistry 1999-10, Vol.47 (10), p.4046-4052
Hauptverfasser: Mangas, Juan J, Rodríguez, Roberto, Suárez, Belén, Picinelli, Anna, Dapena, Enrique
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Sprache:eng
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Zusammenfassung: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
ISSN:0021-8561
1520-5118
DOI:10.1021/jf9903197