Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry
Апстракт
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.
Кључне речи:
principal component analysis / factor analysis / cluster analysis / metals / wines / classificationИзвор:
Journal of the Serbian Chemical Society, 2007, 72, 12, 1487-1492
DOI: 10.2298/JSC0712487R
ISSN: 0352-5139
WoS: 000252412100030
Scopus: 2-s2.0-36949018943
Колекције
Институција/група
VinčaTY - 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 . .