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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
21/02/2014 |
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Actualizado : |
25/09/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
COZZOLINO, D.; VADELL, A.; BALLESTEROS, F; GALIETTA, G.; BARLOCCO, N. |
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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. |
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Título : |
Combining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay: A feasibility study. |
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Fecha de publicación : |
2006 |
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Fuente / Imprenta : |
Analytical and Bioanalytical Chemistry, July 2006, Volume 385, Issue 5, Pages 931-936. |
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DOI : |
10.1007/s00216-006-0483-5 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 16 January 2006 / Revised: 6 March 2006 / Accepted: 7 April 2006 / Published online: 12 May 2006. |
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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. |
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Palabras claves : |
LINEAR DISCRIMINANT ANALYSIS; NEAR-INFRARED SPECTROSCOPY; PIG MUSCLES; PRINCIPAL COMPONENT ANALYSIS; TRACEABILITY. |
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Asunto categoría : |
-- |
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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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| Registros recuperados : 73 | |
| 41. |  | COZZOLINO, D.; VAZ MARTINS, D.; MURRAY, I, Visible and near infrared spectroscopy of beef longissimus dorsi muscle as a means of dicriminating between pasture and corn silage feeding regimes. Journal of Near Infrared Spectroscopy, 2002, Volume 10, Issue 3, Pages 187-193 Article history:Received: October 09, 2001/ Accepted: May 14, 2002/Revisions received: March 19, 2002.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : B - 1 |
| Biblioteca(s): INIA La Estanzuela. |
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| 51. | | COZZOLINO, D.; FASSIO, A.; RESTAINO, E.; VICENTE, E. Instrumental techniques and methods: their role in plant omics. In: Barh, D.; Khan, M.S.; Davies, E. (Eds.), 2015, PlantOmics: The Omics of Plant Science. Springer, p. 33-52. p. 33-52.| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| Registros recuperados : 73 | |
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