Intra-regional classification of grape seeds produced in Mendoza province (Argentina) by multi-elemental analysis and chemometrics tools

CANIZO, BRENDA V.; ESCUDERO, LETICIA B.; PÉREZ, MARÍA B.; PELLERANO, ROBERTO G.; WUILLOUD, RODOLFO G.

FOOD CHEMISTRY

ELSEVIER SCI LTD

Año: 2018 vol. 242 p. 272 - 278

0308-8146

The feasibility of the application of chemometric techniques associated with multi-element analysis for the classification of grape seeds according to their provenance vineyard soil was investigated. Grape seed samples from different localities of Mendoza province (Argentina) were evaluated. Inductively coupled plasma mass spectrometry (ICP-MS) was used for the determination of twenty-nine elements (Ag, As, Ce, Co, Cs, Cu, Eu, Fe, Ga, Gd, La, Lu, Mn, Mo, Nb, Nd, Ni, Pr, Rb, Sm, Te, Ti, Tl, Tm, U, V, Y, Zn and Zr). Once the analytical data were collected, supervised pattern recognition techniques such as linear discriminant analysis (LDA), partial least square discriminant analysis (PLS-DA), knearest neighbors (k-NN), support vector machine (SVM) and random forest (RF) were applied to construct classification/discrimination rules. The results indicated that nonlinear methods, RF and SVM, perform best with up to 98% and 93% accuracy rate, respectively and therefore are excellent tools for classification of grapes.