INVESTIGADORES
CAMIÑA Jose Manuel
artículos
Título:
Chemometric characterization of sunflower seeds
Autor/es:
G. LANCELLE MONFERRERE; S.M. AZCARATE; M.A. CANTARELLI; I.G. FUNES; J.M. CAMIÑA
Revista:
JOURNAL OF FOOD SCIENCE
Editorial:
WILEY-BLACKWELL PUBLISHING, INC
Referencias:
Lugar: Chicago; Año: 2012 vol. 77 p. 1018 - 1022
ISSN:
0022-1147
Resumen:
The spectroscopic characterization of different varieties of sunflower seeds based on their oleic acid content is proposed. One hundred fifty samples of sunflower seeds from different places of Argentina were analyzed by near-infrared diffuse reflectance spectroscopy (NIRDRS). Seed samples were grounded and sieved without chemical treatment previous to the analysis. For the characterization, the multivariate methods used were: principal components analysis (PCA), cluster analysis (CA), linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA). By using PCA, CA and LDA, and from the point of view of varieties of sunflower seeds, two groups were differentiated, based on the concentration of oleic acid: a low oleic group, which ranged from 15% to 25 % w/w oleic acid; and the other one (mid-high oleic varieties) which ranged from 26 to 90 % w/w oleic acid. However, by using the PLS-DA three groups were correctly differentiated based on the concentration of oleic acid: low oleic (from 15 to 25 % w/w oleic acid); mid oleic (26 to 76 % w/w oleic acid) and high oleic (more than 77 % w/w oleic acid) demonstrating the high ability of this method. This multivariate characterization of sunflower seed varieties did not require chromatographic analysis to generate the matrix of concentrations, only direct measures of NIRDRS spectra were required. This characterization can be useful to quickly know the variety of sunflower seed in the grain market.