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Talanta
Volume 46, Issue 6, August 1998, Pages 1259-1264
 
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doi:10.1016/S0039-9140(97)00409-8    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1997 Elsevier Science B.V. All rights reserved

Discrimination between arabica and robusta green coffee varieties according to their chemical composition

María J. Martín, Fernando Pablos and A. Gustavo González*

Department of Analytical Chemistry, Faculty of Chemistry, University of Seville, 41012, Seville, Spain

Received 14 July 1997;
accepted 3 November 1997.
Available online 4 December 1998.

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Abstract

Arabica and robusta green coffee varieties have been differentiated by using pattern recognition procedures. Chlorogenic acid, caffeine, trigonelline, aqueous extract, amino acids and polyphenols have been analysed in 41 samples of green coffee and used as chemical descriptors. Principal component and cluster analysis in addition with the K-nearest neighbours method have been applied.

Author Keywords: Coffee; Pattern recognition

Article Outline

1. Introduction
2. Experimental
2.1. Reagents and solutions
2.2. Apparatus
2.3. Analytical procedures
2.4. Coffee samples and data analysis
3. Results and discussion
3.1. PCA-based display methods
3.2. Cluster analysis
3.3. K-nearest neighbours
4. Conclusion
References



Talanta
Volume 46, Issue 6, August 1998, Pages 1259-1264
 
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