Fecha/hora: 01/06/2024 10:23:43

Biblioteca(s): 	INIA La Estanzuela; INIA Las Brujas.	
Fecha corriente: 	21/02/2014	
Fecha de la última actualización: 	09/10/2019	
Autoria: 	COZZOLINO, D.; RESTAINO, E.; FASSIO, A.	
Afiliación: 	D. COZZOLINO, The Australian Wine Research Institute, Waite Campus, Adelaide, Australia; ERNESTO ANGEL RESTAINO GALUP, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; ALBERTO SANTIAGO FASSIO ARAUJO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay.	
Título: 	Discrimination of yerba mate (Ilex paraguayensis St. Hil.) samples according to their geographical origin by means of near infrared spectroscopy and multivariate analysis.	
Año de publicación: 	2010	
Fuente/Imprenta: 	Sensing and Instrumentation for Food Quality and Safety, 2010, v.4, no.2, p.67-72.	
DOI: 	10.1007/s11694-010-9096-y	
Idioma: 	Inglés	
Notas: 	Article history: Received: 13 December 2009 / Accepted: 17 April 2010 / Published online: 29 April 2010.	
Contenido: 	ABSTRACT.

Near infrared reflectance (NIR) spectroscopy combined with multivariate data analysis was used to discriminate between the geographical origins of yerba mate (Ilex paraguayensis St. Hil.) samples. Samples were purchased from the local market and scanned in the NIR region (1100-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) were used to classify the samples based on their NIR spectra according to their geographical origin. Full cross validation was used as validation method when classification models were developed. The overall classification rates obtained were 76 and 100% using PLS-DA and LDA, respectively. The results demonstrated the usefulness of NIR spectra combined with multivariate data analysis as an objective and rapid method to classify yerba mate samples according to their geographical origin. Nevertheless, NIR spectroscopic might provide initial screening in the food chain and enable costly methods to be used more productively on suspect specimens. 
© 2010 Springer Science+Business Media, LLC.	
Palabras-Clave: 	ANÁLISIS MULTIVARIANTE; ESPECTROSCOPÍA DE REFLECTANCIA EN EL INFRARROJO CERCANO; NIRS; ORIGEN GEOGRÁFICO; YERBA MATE.	
Thesagro: 	ESPECTROSCOPÍA DEL INFRARROJO CERCANO; ILEX PARAGUARIENSIS; YERBA MATE.	
Categoría del tema: 	F01 Cultivo
Q01 Ciencia y tecnología de los alimentos	
Registro original: 	INIA Las Brujas (LB)	
Ejemplares: 	LB - (12847-1) - PXI - AP - DD - PP/SENS. & INSTRUM. FOOD QUALITY/2010 -  -  - DIS