Title of article
Characterization of arabica and robusta roasted coffee varieties and mixture resolution according to their metal content
Author/Authors
Mart??n، نويسنده , , M.J. and Pablos، نويسنده , , F and Gonz?lez، نويسنده , , A.G، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1999
Pages
6
From page
365
To page
370
Abstract
The metal content of roasted coffee samples belonging to the arabica and robusta varieties and coffee blends has been analysed. Ba, Ca, Cu, Fe, K, Mg, Mn, Na, P, Sr, Zn have been determined by inductively coupled plasma atomic emission spectrometry. Principal component and cluster analysis have been applied to characterize the coffee varieties. P, Mn and Cu have been found to be the most discriminating variables. Partial least squares regression was applied to determine the relative content of each variety in the coffee blends. This method has been applied to determine the percentage of the robusta variety in some commercial roasted coffee samples.
Keywords
Coffee , Pattern recognition , Metals , Chemometrics
Journal title
Food Chemistry
Serial Year
1999
Journal title
Food Chemistry
Record number
1948505
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