INQUISAL   20936
INSTITUTO DE QUIMICA DE SAN LUIS "DR. ROBERTO ANTONIO OLSINA"
Unidad Ejecutora - UE
artículos
Título:
Multilemental Analysis and Classification of Amaranth Seeds According to Their Botanical Origin
Autor/es:
ELBA G. AGUILAR; MIGUEL A. CANTARELLI; EDUARDO J. MARCHEVSKY; NORA L. ESCUDERO; JOSE M. CAMIÑA
Revista:
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
Editorial:
AMER CHEMICAL SOC
Referencias:
Año: 2011 vol. 59 p. 9059 - 9064
ISSN:
0021-8561
Resumen:
The characterization of amaranth seeds (Amaranthus spp.) was developed for A. hypochondriacus, A. cruentus and A. dubius. The elemental concentrations were determined by inductively coupled plasma optic atomic spectroscopy (ICP-OES). Pattern recognition methods were used for the characterization of seed samples: non-supervised methods included Principal Components Analysis (PCA) and Cluster Analysis (CA); supervised methods were Linear Discriminant Analysis (LDA) and Partial Least Squares Discriminant Analysis (PLS-DA). The concentrations of the following elements are informed: Ag, Al, Ba, Ca, Co, Cr, Cu, Fe, K, La, Li, Mg, Mn, Mo, Na, Ni, P, S, Sr, V, Zn and Zr. The lowest mineral content was found in A. hypochondriacus and the highest one in A. dubius. For the classification, selected variables for all multivariate methods were: Ba, Cr, Li, Mn, Ni, S and Sr. Non-supervised methods allowed distinguishing between the three species of amaranth; however PLS-DA supervised methods showed the best prediction ability.