Title of article :
Application of pattern recognition to the discrimination of roasted coffees
Author/Authors :
M.J. Mart?n، نويسنده , , F. Pablos، نويسنده , , A.G. Gonzalez، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1996
Pages :
7
From page :
191
To page :
197
Abstract :
Pattern recognition procedures have been applied to samples of roasted coffee. Some of them are torrefacto samples, that is coffee roasted with addition of sugar. Principal component analysis, cluster analysis, linear discriminant analysis, soft independent modelling of class analogies, and Spearman correlation studies have been carried out. Caffeine, aqueous extract, amino acids, polyphenols, 5-(hydroxymethyl)furfural, potassium, sodium, calcium, iron, manganese and magnesium have been used as chemical descriptors.
Keywords :
Chemometrics , Pattern recognition , Coffee
Journal title :
Analytica Chimica Acta
Serial Year :
1996
Journal title :
Analytica Chimica Acta
Record number :
1023929
Link To Document :
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