Title of article
Multivariate classification of wines from different Bohemian regions (Czech Republic)
Author/Authors
?perkov?، نويسنده , , Jaroslava and Such?nek، نويسنده , , Miloslav، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2005
Pages
5
From page
659
To page
663
Abstract
Fifty-three samples of wines were analysed by inductively coupled plasma mass spectrometry and inductively coupled plasma optical emission spectrometry. The contents of 27 parameters were determined: Al, As, Ba, Ca, Ce, Co, Cr, Cs, Cu, Fe, K, Li, Mg, Mn, Mo, Na, Ni, Pb, Rb, Sb, Sn, Sr, Th, U, V, Y and Zn. The best results for identification of sample origin were achieved when determining the following parameters: the contents of Al, Ba, Ca, Co, K, Li, Mg, Mn, Mo, Rb, Sr, V and element ratios Sr/Ba, Sr/Ca, Sr/Mg. With these parameters, a 97.4% correct classification was achieved for white wines and a 100% correct classification for red wines.
Keywords
Wine , Fingerprinting , ICP-OES , Chemometrics , ICP-MS
Journal title
Food Chemistry
Serial Year
2005
Journal title
Food Chemistry
Record number
1952084
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