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| 7. |  | VICENTE, E.; SPINA, W. Semillero de boniato: Estación Experimental INIA Salto Grande, 1993. In: Jornada, 10 de junio, INIA Tacuarembó, Tacuarembó, 1994; Picos, C.; Vilaró, F.; Vicente, E.; Carballo, S.; Brito, G. (Coord.). Tacuarembó, Uruguay: INIA, 1994. p. 15-18| Biblioteca(s): INIA Tacuarembó. |
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| 17. | | VICENTE, E.; RODRÍGUEZ, G.; VILARÓ, F.; SPINA, W.; GONZÁLEZ-ARCOS, M.; PEREIRA, G.; REGGIO, A.; SILVEIRA, D. El cultivar de boniato Cuarí (Ñ0424.1). [Rev.Noticiero CNFR] Noticiero, 2006, no.19, p.38-41.| Biblioteca(s): INIA Las Brujas. |
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| 19. | | PAULLIER, J.; GILSANZ, J.C.; ARBOLEYA, J.; WALASEK, W.; PICOS, C.; LEONI, C.; VICENTE, E.; SPINA, W.; MANZZIONI, A. Control de insectos de suelo en boniato In: INIA Las Brujas, Programa Nacional Producciòn Hortìcola. Resultados experimentales en boniato. Reunión técnica. Canelones (Uruguay): INIA, 1997. p. 10-13 (INIA Serie Actividades de Difusión; 144)| Biblioteca(s): INIA Las Brujas. |
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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 actual : |
21/02/2014 |
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Actualizado : |
08/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
COZZOLINO, D.; CHREE, A.; SCAIFE, J.R.; MURRAY, I. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. CHREE, United Fish Products Ltd. Tullos, Aberdeen AB12 3AY, Scotland.; J. R. SCAIFE, Department of Agriculture, MacRobert Building, University of Aberdeen, Aberdeen AB12 5UA, Scotland, U.K.; IAN MURRAY, Scottish Agricultural College, Animal Biology Division, Ferguson Building, Craibstone State, Aberdeen AB21 9YA, Scotland, U.K. |
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Título : |
Usefulness of Near-infrared reflectance (NIR) spectroscopy and chemometrics to discriminate fishmeal batches made with different fish species. |
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Fecha de publicación : |
2005 |
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Fuente / Imprenta : |
Journal of Agricultural and Food Chemistry, 1 June 2005, Volume 53, Issue 11, Pages 4459-4463. |
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DOI : |
10.1021/jf050303i |
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Idioma : |
Inglés |
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Contenido : |
Abstract:
Near-infrared reflectance (NIR) spectroscopy combined with chemometrics was used to identify and authenticate fishmeal batches made with different fish species. Samples from a commercial fishmeal factory (n = 60) were scanned in the NIR region (1100?2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), dummy partial least-squares regression (DPLS), and linear discriminant analysis (LDA) based on PCA scores were used to identify the origin of fishmeal produced using different fish species. Cross-validation was used as validation method when classification models were developed. DPLS correctly classified 80 and 82% of the fishmeal samples. LDA calibration models correctly classified >80% of fishmeal samples according to fish species The results demonstrated the usefulness of NIR spectra combined with chemometrics as an objective and rapid method for the authentication and identification of fish species used to manufacture the fishmeal. |
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Palabras claves : |
FISH BYPRODUCTS; FISHMEAL; LINEAR DISCRIMINANT ANALYSIS; NIR SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS. |
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Thesagro : |
NIRS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 01799naa a2200241 a 4500
001 1040621
005 2019-10-08
008 2005 bl uuuu u00u1 u #d
024 7 $a10.1021/jf050303i$2DOI
100 1 $aCOZZOLINO, D.
245 $aUsefulness of Near-infrared reflectance (NIR) spectroscopy and chemometrics to discriminate fishmeal batches made with different fish species.$h[electronic resource]
260 $c2005
520 $aAbstract: Near-infrared reflectance (NIR) spectroscopy combined with chemometrics was used to identify and authenticate fishmeal batches made with different fish species. Samples from a commercial fishmeal factory (n = 60) were scanned in the NIR region (1100?2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), dummy partial least-squares regression (DPLS), and linear discriminant analysis (LDA) based on PCA scores were used to identify the origin of fishmeal produced using different fish species. Cross-validation was used as validation method when classification models were developed. DPLS correctly classified 80 and 82% of the fishmeal samples. LDA calibration models correctly classified >80% of fishmeal samples according to fish species The results demonstrated the usefulness of NIR spectra combined with chemometrics as an objective and rapid method for the authentication and identification of fish species used to manufacture the fishmeal.
650 $aNIRS
653 $aFISH BYPRODUCTS
653 $aFISHMEAL
653 $aLINEAR DISCRIMINANT ANALYSIS
653 $aNIR SPECTROSCOPY
653 $aPRINCIPAL COMPONENT ANALYSIS
700 1 $aCHREE, A.
700 1 $aSCAIFE, J.R.
700 1 $aMURRAY, I.
773 $tJournal of Agricultural and Food Chemistry, 1 June 2005, Volume 53, Issue 11, Pages 4459-4463.
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