Study of the Phenolic Profile of Cider Apple Cultivars at Maturity by Multivariate Techniques
Author(s) -
J. J. Mangas,
Roberto Rodríguez Madrera,
Belén Suárez Valles,
Anna Picinelli Lobo,
Enrique Dapena de la Fuente
Publication year - 1999
Publication title -
journal of agricultural and food chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.203
H-Index - 297
eISSN - 1520-5118
pISSN - 0021-8561
DOI - 10.1021/jf9903197
Subject(s) - cultivar , maturity (psychological) , multivariate statistics , horticulture , food science , multivariate analysis , biology , chemistry , botany , mathematics , statistics , psychology , developmental psychology
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.
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