The contents of five metals (Cu, Mn, Fe, Cd, and Pb) in several red and white wines originating from different regions of Serbia were determined by name and graphite furnace atomic absorption spectrometry. The data were processed using chemometric techniques. Principal component and factor analysis were applied in order to highlight the relations between the elements and, after data reduction, three main factors controlling variability were identified. Application of hierarchical cluster analysis to the studied wines indicated differentiation of the samples belonging to different origins. No discrimination between red and white wines was found.
TY - JOUR
AU - Ražić, Slavica
AU - Čokeša, Đuro
AU - Sremac, Snežana
PY - 2007
UR - https://vinar.vin.bg.ac.rs/handle/123456789/3347
AB - The contents of five metals (Cu, Mn, Fe, Cd, and Pb) in several red and white wines originating from different regions of Serbia were determined by name and graphite furnace atomic absorption spectrometry. The data were processed using chemometric techniques. Principal component and factor analysis were applied in order to highlight the relations between the elements and, after data reduction, three main factors controlling variability were identified. Application of hierarchical cluster analysis to the studied wines indicated differentiation of the samples belonging to different origins. No discrimination between red and white wines was found.
T2 - Journal of the Serbian Chemical Society
T1 - Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry
VL - 72
IS - 12
SP - 1487
EP - 1492
DO - 10.2298/JSC0712487R
ER -
@article{
author = "Ražić, Slavica and Čokeša, Đuro and Sremac, Snežana",
year = "2007",
abstract = "The contents of five metals (Cu, Mn, Fe, Cd, and Pb) in several red and white wines originating from different regions of Serbia were determined by name and graphite furnace atomic absorption spectrometry. The data were processed using chemometric techniques. Principal component and factor analysis were applied in order to highlight the relations between the elements and, after data reduction, three main factors controlling variability were identified. Application of hierarchical cluster analysis to the studied wines indicated differentiation of the samples belonging to different origins. No discrimination between red and white wines was found.",
journal = "Journal of the Serbian Chemical Society",
title = "Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry",
volume = "72",
number = "12",
pages = "1487-1492",
doi = "10.2298/JSC0712487R"
}
Ražić, S., Čokeša, Đ.,& Sremac, S.. (2007). Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry. in Journal of the Serbian Chemical Society, 72(12), 1487-1492.
https://doi.org/10.2298/JSC0712487R
Ražić S, Čokeša Đ, Sremac S. Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry. in Journal of the Serbian Chemical Society. 2007;72(12):1487-1492.
doi:10.2298/JSC0712487R .
Ražić, Slavica, Čokeša, Đuro, Sremac, Snežana, "Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry" in Journal of the Serbian Chemical Society, 72, no. 12 (2007):1487-1492,
https://doi.org/10.2298/JSC0712487R . .
