Artículo
Biospectroscopy, biospectrometry and imaging of Ilex paraguariensis. Basis for non-destructive quality evaluation using artificial vision
Fecha de publicación:
06/2016
Editorial:
Royal Society of Chemistry
Revista:
Photochemical and Photobiological Sciences
ISSN:
1474-905X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Yerba mate (YM) is massively produced and consumed as an infusion in South America and is gaining popularity all over the world. This product is obtained from the dried leaves of Ilex paraguariensis Saint Hilaire, mixed with fragments of its dried branches. For its commercialization YM must have a minimum percentage of leaves according to a standard classification. Until now, composition quantification has been mechanically performed, thus development of new methods is still pending. In this work a quantification method using solid-phase molecular fluorescence, alternately diffuse reflectance spectroscopy and an imaging technique using a scanner have been proposed. Strong differences between the spectroscopic properties of leaves and sticks were observed and in all the cases linear correlations between the processed signals and composition were observed. Interesting differences in chemical composition of YM leaves and sticks were additionally obtained in this work by means of total phenol content quantification, ultraviolet matrix assisted laser-desorption ionization mass spectrometry and ultraviolet laser-desorption ionization mass spectrometry.
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Identificadores
Colecciones
Articulos(CIHIDECAR)
Articulos de CENTRO DE INVESTIGACIONES EN HIDRATOS DE CARBONO
Articulos de CENTRO DE INVESTIGACIONES EN HIDRATOS DE CARBONO
Articulos(INQUIMAE)
Articulos de INST.D/QUIM FIS D/L MATERIALES MEDIOAMB Y ENERGIA
Articulos de INST.D/QUIM FIS D/L MATERIALES MEDIOAMB Y ENERGIA
Citación
Parapugna, Tamara L.; Petroselli, Gabriela; Erra Balsells, Rosa; Lagorio, María Gabriela; Biospectroscopy, biospectrometry and imaging of Ilex paraguariensis. Basis for non-destructive quality evaluation using artificial vision; Royal Society of Chemistry; Photochemical and Photobiological Sciences; 15; 7; 6-2016; 879-888
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