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
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
Journal title :
Food Chemistry