Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics
DOI:
https://doi.org/10.7764/rcia.v45i2.1883Keywords:
AAS, classification, element, ICP-MS, metal, multivariate statistics, wineAbstract
The concentration of seventeen
metal elements was analyzed in 130 commercial samples of Chilean wines, using flame atomic
absorption spectroscopy (AAS) and inductively coupled plasma–mass spectrometry (ICP-MS).
The elements analyzed were within the usual concentration ranges previously reported in other
wine regions (for example: Fe, 2.08 ± 0.99 mgL-1; Zn, 0.71 ± 0.44 mg L-1; K, 788± 219 mg
L-1; and Na, 14.62 ± 8.6 mg L-1). When the metal content of the samples was compared among
geographic areas, significant differences in the concentration of K, Na, Mn, Mg, Zn, and Cr
were observed (p ≤ 0.05). Moreover, principal component and linear discriminant analyses,
used to discriminate wines according to geographic area, obtained adjustments above 90% for
white wines and over 70% for red wines.
