APPLICATION OF PATTERN-RECOGNITION TO THE DISCRIMINATION OF ROASTED COFFEES

Authors
MARTIN MJ PABLOS F GONZALEZ AG
Citation
Mj. Martin et al., APPLICATION OF PATTERN-RECOGNITION TO THE DISCRIMINATION OF ROASTED COFFEES, Analytica chimica acta, 320(2-3), 1996, pp. 191-197
Citations number
25
Categorie Soggetti
Chemistry Analytical
Journal title
Analytica chimica acta → ACNP
ISSN journal
00032670
Volume
320
Issue
2-3
Year of publication
1996
Pages
191 - 197
Database
ISI
SICI code
0003-2670(1996)320:2-3<191:AOPTTD>2.0.ZU;2-N
Abstract
Pattern recognition procedures have been applied to samples of roasted coffee. Some of them are torrefacto samples, that is coffee roasted w ith addition of sugar. Principal component analysis, cluster analysis, linear discriminant analysis, soft independent modelling of class ana logies, and Spearman correlation studies have been carried out. Caffei ne, aqueous extract, amino acids, polyphenols, 5-(hydroxymethyl)furfur al, potassium, sodium, calcium, iron, manganese and magnesium have bee n used as chemical descriptors.