MULTIVARIATE ANALYSIS OF MAJOR, MINOR AND TOXIC ELEMENTS IN Sechium edule

ALBARRACIN, G.; CANTARELLI, M. A.; ESCUDERO, N.; MARCHEVSKY, E; CAMIÑA, J. M.

San Luis

Congreso; XXX Reunión Anual de la Sociedad de Biología de Cuyo; 2012

Sociedad de Biología de Cuyo

Multivariate data analysis was performed on Sechium edule, using as variables the concentration of the follow elements: Ag, Al, As, Ba, Bi, Ca, Cd, Co, Cr, Cu, Fe, Ga, Hg, K, La, Mg, Mn, Mo, Na, Nb, Ni, P, Pb, S, Sb, Se, Sn, Sr, Ta, Te, Ti, Tl, V, Zn and Zr, analyzed by inductively coupled plasma optical emission spectrometry (ICPOES) on a total of 15 replicates Sechium fruits, including whole fruit (Fr), pulp (Pu) and seed (Se). Principal Components Analysis (PCA) was carried out, in order to find an optimal model of classification and find the most relevant variables for the analysis of the fruit (which were the concentration of Ca, Cd, Fe, Mg, P y S); after that, the same variables were used for Clusters Analysis (CA) and Linear Discriminant Analysis (LDA). Thus, it was possible to make a proper classification of the three components of the fruit: Fr, Pu and Se by the three multivariate methods. As conclusion, multivariate methods were able to classify different parts of Sechium edule