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Pattern recognition analysis applied to classification of Galician (NW Spain) wines with Certified Brand of Origin Ribeira Sacra
Author(s) -
Peña Rosa M,
Latorre María J,
García Sagrario,
Botana Ana M,
Herrero Carlos
Publication year - 1999
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/(sici)1097-0010(199911)79:14<2052::aid-jsfa485>3.0.co;2-3
Subject(s) - wine , principal component analysis , organoleptic , chemometrics , linear discriminant analysis , mathematics , multivariate statistics , geographical indication , vintage , pattern recognition (psychology) , artificial intelligence , chemistry , geography , computer science , food science , chromatography , statistics , archaeology , regional science
In 39 red wines from Galicia (NW Spain), some trace elements were determined by atomic spectroscopy. Data were processed using multivariate chemometric techniques involving principal component analysis, discriminant analysis and K nearest neighbours to develop a typification for wine samples of Ribeira Sacra origin. The wines with Certified Brand of Origin (CBO) Ribeira Sacra can be differentiated from the wines of two other CBOs from Galicia: Ribeiro and Valdeorras . The latter CBOs make wines with the same grape variety; hence they are possible substitutes for falsification of Ribeira Sacra wines owing to their similar organoleptic properties. By means of multivariate techniques of data exploration, two main groups of samples ( Ribeira Sacra and non‐ Ribeira Sacra wines) were observed. Exploratory analysis results were confirmed using supervised procedures of data classification. Using lithium and iron content as key features, a satisfactory classification was achieved. © 1999 Society of Chemical Industry