Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry
Metode multivarijantne vizualizacije podataka bazirane na elementalnoj analizi vina atomskom apsorpcionom spektrometrijom
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 flame 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.
Primenom metoda plamene atomske apsorpcione spektrometrije, kao i atomske apsorpcione spektrometrije sa elektrotermalnom atomizacijom, određivan je sadržaj pet metala (Cu, Mn, Fe, Cd i Pb) u uzorcima nekoliko crvenih i belih vina, iz raličitih regiona Srbije. Rezultati su obrađivani hemometrijskim metodama. Primenjena je analiza glavnih komponenti, kao i faktorska analiza, u cilju razjašnjavanja odnosa između elemenata. Nakon redukcije podataka identifikovana su tri glavna faktora koji utiču na varijabilnost. Klasterska analiza uzoraka vina naglašava diferencijaciju uzoraka različitog porekla ali ne i razdvajanje između crvenih i belih vina.
Кључне речи:
principal component analysis / factor analysis / cluster analysis / metals / wines / classificationИзвор:
Journal of the Serbian Chemical Society, 2007, 72, 12, 1487-1492Издавач:
- Srpsko hemijsko društvo, Beograd
DOI: 10.2298/JSC0712487R
ISSN: 0352-5139
WoS: 000252412100030
Scopus: 2-s2.0-36949018943
Институција/група
PharmacyTY - JOUR AU - Ražić, Slavica AU - Čokeša, Đuro AU - Sremac, Snežana PY - 2007 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/995 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 flame 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. AB - Primenom metoda plamene atomske apsorpcione spektrometrije, kao i atomske apsorpcione spektrometrije sa elektrotermalnom atomizacijom, određivan je sadržaj pet metala (Cu, Mn, Fe, Cd i Pb) u uzorcima nekoliko crvenih i belih vina, iz raličitih regiona Srbije. Rezultati su obrađivani hemometrijskim metodama. Primenjena je analiza glavnih komponenti, kao i faktorska analiza, u cilju razjašnjavanja odnosa između elemenata. Nakon redukcije podataka identifikovana su tri glavna faktora koji utiču na varijabilnost. Klasterska analiza uzoraka vina naglašava diferencijaciju uzoraka različitog porekla ali ne i razdvajanje između crvenih i belih vina. PB - Srpsko hemijsko društvo, Beograd T2 - Journal of the Serbian Chemical Society T1 - Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry T1 - Metode multivarijantne vizualizacije podataka bazirane na elementalnoj analizi vina atomskom apsorpcionom spektrometrijom 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 flame 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., Primenom metoda plamene atomske apsorpcione spektrometrije, kao i atomske apsorpcione spektrometrije sa elektrotermalnom atomizacijom, određivan je sadržaj pet metala (Cu, Mn, Fe, Cd i Pb) u uzorcima nekoliko crvenih i belih vina, iz raličitih regiona Srbije. Rezultati su obrađivani hemometrijskim metodama. Primenjena je analiza glavnih komponenti, kao i faktorska analiza, u cilju razjašnjavanja odnosa između elemenata. Nakon redukcije podataka identifikovana su tri glavna faktora koji utiču na varijabilnost. Klasterska analiza uzoraka vina naglašava diferencijaciju uzoraka različitog porekla ali ne i razdvajanje između crvenih i belih vina.", publisher = "Srpsko hemijsko društvo, Beograd", journal = "Journal of the Serbian Chemical Society", title = "Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry, Metode multivarijantne vizualizacije podataka bazirane na elementalnoj analizi vina atomskom apsorpcionom spektrometrijom", 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 Srpsko hemijsko društvo, Beograd., 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 . .