Characterization of green coffee varieties according to their metal content

被引：62

作者：

Martín, MJ ^{[1
]}

Pablos, F ^{[1
]}

González, AG ^{[1
]}

机构：

[1] Univ Seville, Dept Analyt Chem, E-41012 Seville, Spain

来源：

ANALYTICA CHIMICA ACTA | 1998年 / 358卷 / 02期

关键词：

coffee; metals; pattern recognition; chemometrics;

D O I：

10.1016/S0003-2670(97)00610-7

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Eleven metals Zn, P, Mn, Fe, Mg, Ca, Na, K, Cu, Sr and Pa, chosen as chemical descriptors, have been analysed by inductively coupled plasma atomic emission spectrometry. The metal content was studied in 41 samples of green coffee belonging to the varieties arabica and robusta. Pattern recognition techniques such as principal component analysis and cluster analysis were applied in order to characterize the green coffee varieties. (C) 1998 Elsevier Science B.V.

引用

页码：177 / 183

页数：7

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