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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
21/02/2014 |
Actualizado : |
25/09/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
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. |
Fecha 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 claves : |
LINEAR DISCRIMINANT ANALYSIS; NEAR-INFRARED SPECTROSCOPY; PIG MUSCLES; PRINCIPAL COMPONENT ANALYSIS; TRACEABILITY. |
Asunto categoría : |
-- |
Marc : |
LEADER 02152naa a2200253 a 4500 001 1049590 005 2019-09-25 008 2006 bl uuuu u00u1 u #d 024 7 $a10.1007/s00216-006-0483-5$2DOI 100 1 $aCOZZOLINO, D. 245 $aCombining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay$bA feasibility study. 260 $c2006 500 $aArticle history: Received: 16 January 2006 / Revised: 6 March 2006 / Accepted: 7 April 2006 / Published online: 12 May 2006. 520 $aAbstract 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. 653 $aLINEAR DISCRIMINANT ANALYSIS 653 $aNEAR-INFRARED SPECTROSCOPY 653 $aPIG MUSCLES 653 $aPRINCIPAL COMPONENT ANALYSIS 653 $aTRACEABILITY 700 1 $aVADELL, A. 700 1 $aBALLESTEROS, F 700 1 $aGALIETTA, G. 700 1 $aBARLOCCO, N. 773 $tAnalytical and Bioanalytical Chemistry, July 2006, Volume 385, Issue 5, Pages 931-936.
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INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
21/02/2014 |
Actualizado : |
03/02/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
CARRASCO-LETELIER, L.; EGUREN IRIARTE, G.; SUÁREZ-PÍREZ, C. |
Afiliación : |
LEONIDAS CARRASCO LETELIER, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; GABRIELA EGUREN IRIARTE; CECILIA SUÁREZ PÍREZ. |
Título : |
Indicadores para la gestión ambiental de cuencas de uso agropecuario. |
Fecha de publicación : |
2010 |
Fuente / Imprenta : |
ln: Jornadas Interdisciplinarias, 1., 2010, Buenos Aires, AR. El ciclo del agua en agroecosistemas. Buenos Aires, AR: UBA. FVET. Centro de Estudios Transdisciplinarios del Agua, 2010. |
Páginas : |
p. 14. |
ISBN : |
987-950-29-1233-2 |
Idioma : |
Español |
Notas : |
Donación L. Carrasco Letelier, 2010 Universidad de Buenos Aires (UBA). Facultad de Ciencias Veterinarias. Centro de Estudios Transdisciplinarios del Agua |
Palabras claves : |
CALIDAD DEL AGUA; ECOTOXICOLOGÍA; FORESTACIÓN; QUÍMICA AMBIENTAL; SOSTENIBILIDAD AMBIENTAL. |
Thesagro : |
CONTAMINACIÓN; ECOSISTEMAS AGRÍCOLAS; SISTEMAS AGROPECUARIOS. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/11015/1/Indicadores...Carrasco-Leteler-et-al.pdf
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Marc : |
LEADER 01023nam a2200253 a 4500 001 1048415 005 2021-02-03 008 2010 bl uuuu u00u1 u #d 020 $a987-950-29-1233-2 100 1 $aCARRASCO-LETELIER, L. 245 $aIndicadores para la gestión ambiental de cuencas de uso agropecuario. 260 $aln: Jornadas Interdisciplinarias, 1., 2010, Buenos Aires, AR. El ciclo del agua en agroecosistemas. Buenos Aires, AR: UBA. FVET. Centro de Estudios Transdisciplinarios del Agua$c2010 300 $ap. 14. 500 $aDonación L. Carrasco Letelier, 2010 Universidad de Buenos Aires (UBA). Facultad de Ciencias Veterinarias. Centro de Estudios Transdisciplinarios del Agua 650 $aCONTAMINACIÓN 650 $aECOSISTEMAS AGRÍCOLAS 650 $aSISTEMAS AGROPECUARIOS 653 $aCALIDAD DEL AGUA 653 $aECOTOXICOLOGÍA 653 $aFORESTACIÓN 653 $aQUÍMICA AMBIENTAL 653 $aSOSTENIBILIDAD AMBIENTAL 700 1 $aEGUREN IRIARTE, G. 700 1 $aSUÁREZ-PÍREZ, C.
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