Non-essential element concentrations in brown grain rice: Assessment by advanced data mining techniques

VILLAFAÑE, ROXANA; HIDALGO, MELISA JAZMIN; PICCOLI, ANALIA; MARCHEVSKY, EDUARDO JORGE ; PELLERANO, ROBERTO GERARDO

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

SPRINGER HEIDELBERG

Lugar: HEIDELBERG; Año: 2017

0944-1344

The concentrations of 17 non-essential elements(Al, As, Ba, Be, Cd, Ce, Cr, Hg, La, Li, Pb, Sb, Sn, Sr, Th,Ti, and Tl) were determined in brown grain rice samples oftwo varieties: Fortuna and Largo Fino. The samples were collectedfrom the four main producing regions of Corrientesprovince (Argentina). Quantitative determinations were performedby inductively coupled plasma mass spectrometry(ICP-MS), using a validated method. The contents of As,Be, Cd, Ce, Cr, Hg, Pb, Sb, Sn, Th, and Tl were very low ornot detected in most samples. The non-essential elementlevels detected were in line with studies conducted in ricefrom different parts of the world. In order to characterize theinfluence of geographical origin in the samples, the followingclassification methods were carried out: linear discriminantanalysis (LDA), k-nearest neighbors (k-NN), partial leastsquares discriminant analysis (PLS-DA), support vector machine(SVM) and random forests (RF). The best performancewas obtained by using RF (96%) and SVM (96%). The resultsreported here showed the variation in the non-essential elementprofiles in rice grain depending on the geographicalorigin.