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 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.
Mangas
J J
JJ
Centro de Investigación Aplicada y Tecnología Agroalimentaria, Apartado 13, E-33300 Villaviciosa, Asturias, Spain. juanjoma@princast.es
Rodríguez
R
R
Suárez
B
B
Picinelli
A
A
Dapena
E
E
D001628:Beverages; D002851:Chromatography, High Pressure Liquid; D003198:Computer Simulation; D016002:Discriminant Analysis; D005419:Flavonoids; D008956:Models, Chemical; D010636:Phenols / Q000032:analysis*; D011108:Polymers / Q000032:analysis*; D059808:Polyphenols; D019685:Rosales / Q000737:chemistry* / Q000145:classification*; D013030:Spain
D005419:Flavonoids; D010636:Phenols; D011108:Polymers; D059808:Polyphenols