Fecha/hora: 16/06/2024 09:09:40

Biblioteca(s): 	INIA La Estanzuela.	
Fecha corriente: 	21/02/2014	
Fecha de la última actualización: 	25/09/2019	
Autoria: 	COZZOLINO, D.; VADELL, A.; BALLESTEROS, F; GALIETTA, G.; BARLOCCO, N.	
Afiliación: 	DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. VADELL, Cátedra de Suinos, Centro Regional Sur, Facultad de AgronomíaUniversidad de la República, UDELARMontevideoUruguay; F BALLESTEROS, Unidad Tecnología de los Alimentos, Facultad de Agronomía.Universidad de la República, UDELAR.Montevideo.Uruguay.; GIOVANNI GALIETTA, Unidad Tecnología de los Alimentos, Facultad de Agronomía.Universidad de la República, UDELAR.Montevideo.Uruguay.; N BARLOCCO, Cátedra de Suinos, Centro Regional Sur, Facultad de Agronomía Universidad de la República, UDELAR Montevideo Uruguay.	
Título: 	Combining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay: A feasibility study.	
Año de publicación: 	2006	
Fuente/Imprenta: 	Analytical and Bioanalytical Chemistry, July 2006, Volume 385, Issue 5, Pages 931-936.	
DOI: 	10.1007/s00216-006-0483-5	
Idioma: 	Inglés	
Notas: 	Article history: Received: 16 January 2006 / Revised: 6 March 2006 / Accepted: 7 April 2006 / Published online: 12 May 2006.	
Contenido: 	Abstract
Visible (Vis) and near-infrared reflectance (NIR) spectroscopy combined with chemometrics was explored as a tool to trace muscles from autochthonous and crossbreed pigs from Uruguay. Muscles were sourced from two breeds, namely, the Pampa-Rocha (PR) and the Pampa-Rocha x Duroc (PRxD) crossbreed. Minced muscles were scanned in the Vis and NIR regions (400?2,500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), discriminant partial least square regression (DPLS), linear discriminant analysis (LDA) based on PCA scores and soft independent modelling of class analogy (SIMCA) were used to identify the origin of the muscles based on Vis and NIR data. Full cross validation was used as validation method when classification models were developed. DPLS correctly classified 87% of PR and 78% of PRxD muscle samples. LDA calibration models correctly classified 87 and 67% of muscles as PR and PRxD, respectively. SIMCA correctly classified 100% of PR muscles. The results demonstrated the usefulness of Vis and NIR spectra combined with chemometrics as rapid method for authentication and identification of muscles according to the breed of pig.	
Palabras-Clave: 	LINEAR DISCRIMINANT ANALYSIS; NEAR-INFRARED SPECTROSCOPY; PIG MUSCLES; PRINCIPAL COMPONENT ANALYSIS; TRACEABILITY.	
Categoría del tema: 	--	
Registro original: 	INIA La Estanzuela (LE)	
Ejemplares: 	LE - (49590-1) - PXI - AP - PP - PP/ABCH/2006 -  -  - DIS