Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry

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.