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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 : |
25/11/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
COZZOLINO, D.; MURRAY, I.; SCAIFE, J.R. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Animal Biology, SAC Aberdeen, Scottish Agricultural College, Aberdeen, Scotland, UK.; JEREMY R SCAIFE, Department of Agriculture, MacRobert Building, University of Aberdeen, Aberdeen, Scotland, UK. |
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Título : |
Near infrared reflectance spectroscopy in the prediction of chemical characteristics of minced raw fish. |
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Fecha de publicación : |
2002 |
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Fuente / Imprenta : |
Aquaculture Nutrition, 2002, Volume 8, Issue 1, Pages 1-6. |
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DOI : |
10.1046/j.1365-2095.2002.00176.x |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 10 July 2000/Accepted 12 December 2000. |
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Contenido : |
Abstract:Near infrared re¯ectance spectroscopy (NIRS) was applied to predict chemical composition in minced raw ®sh samples
used to make ®shmeal. The coe?cients of determination (R2 calibration) and standard error in cross validation (SECV) were 0.99 (3.86) and 0.96 (8.01) in g kg±1 for moisture and oil, respectively. Total volatile nitrogen (TVN) gave R2 and SECV of 0.96 (3.51) in mg g±1. Temperature also was predicted by NIRS, yielding R2 calibration: 0.98 and SECV:calibration 1.07 °C. We conclude that NIRS can be used successfully to assess the chemical composition and storage conditions in minced raw ®sh used by the ®shmeal industry. |
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Palabras claves : |
CARCASS COMPOSITION; FAT; FILLETS; MACKEREL TRACHURUS MURPHY; MEAL PRODUCTION; MUSCLE; PROTEINS; RAINBOW-TROUT; SALMON; TRANSMISSION SPECTROSCOPY. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 01551naa a2200289 a 4500
001 1047873
005 2019-11-25
008 2002 bl uuuu u00u1 u #d
024 7 $a10.1046/j.1365-2095.2002.00176.x$2DOI
100 1 $aCOZZOLINO, D.
245 $aNear infrared reflectance spectroscopy in the prediction of chemical characteristics of minced raw fish.$h[electronic resource]
260 $c2002
500 $aArticle history: Received 10 July 2000/Accepted 12 December 2000.
520 $aAbstract:Near infrared re¯ectance spectroscopy (NIRS) was applied to predict chemical composition in minced raw ®sh samples used to make ®shmeal. The coe?cients of determination (R2 calibration) and standard error in cross validation (SECV) were 0.99 (3.86) and 0.96 (8.01) in g kg±1 for moisture and oil, respectively. Total volatile nitrogen (TVN) gave R2 and SECV of 0.96 (3.51) in mg g±1. Temperature also was predicted by NIRS, yielding R2 calibration: 0.98 and SECV:calibration 1.07 °C. We conclude that NIRS can be used successfully to assess the chemical composition and storage conditions in minced raw ®sh used by the ®shmeal industry.
653 $aCARCASS COMPOSITION
653 $aFAT
653 $aFILLETS
653 $aMACKEREL TRACHURUS MURPHY
653 $aMEAL PRODUCTION
653 $aMUSCLE
653 $aPROTEINS
653 $aRAINBOW-TROUT
653 $aSALMON
653 $aTRANSMISSION SPECTROSCOPY
700 1 $aMURRAY, I.
700 1 $aSCAIFE, J.R.
773 $tAquaculture Nutrition, 2002, Volume 8, Issue 1, Pages 1-6.
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Registro original : |
INIA La Estanzuela (LE) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
30/01/2020 |
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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.; MURRAY, I. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Australian Wine Res. Institute, Urrbrae, SA, Australia; I. MURRAY, Animal Biology Division, Scottish Agricultural College, SAC Aberdeen, Aberdeen, United Kingdom. |
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Título : |
Identification of animal meat muscles by visible and near infrared reflectance spectroscopy. |
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Fecha de publicación : |
2004 |
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Fuente / Imprenta : |
LWT - Food Science and Technology, 2004, 37 (4): 447-452. Doi: https://doi.org/doi:10.1016/j.lwt.2003.10.013 |
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ISSN : |
0023-6438 |
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DOI : |
10.1016/j.lwt.2003.10.013 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 15 May 2003 / Accepted 7 October 2003. |
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Contenido : |
ABSTRACT.
Visible (VIS) and near infrared reflectance spectroscopy (NIRS) was used to identify and authenticate different meat muscle species. Samples from beef (n: 100), lamb (n: 140), pork (n: 44) and chicken (n: 48) muscles were homogenised and scanned in the visible (VIS) and near infrared (NIR) region (400-2500 nm) in a monochromator instrument in reflectance. Both Principal Component Analysis (PCA) and dummy partial least-squares regression (PLS) models were developed to identify different meat species. The models correctly classified more than 80% of the meat sample muscles according with the muscle specie. The results showed the potential of VIS and NIR spectra as an objective and rapid method for authentication and identification of meat muscle species. © 2003 Swiss Society of Food Science and Technology. Published by Elsevier Ltd. All rights reserved. |
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Palabras claves : |
Identification; Meat; Near infrared spectroscopy; Principal component analysis; Speciation; Visible. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 01693naa a2200241 a 4500
001 1012831
005 2020-01-30
008 2004 bl uuuu u00u1 u #d
022 $a0023-6438
024 7 $a10.1016/j.lwt.2003.10.013$2DOI
100 1 $aCOZZOLINO, D.
245 $aIdentification of animal meat muscles by visible and near infrared reflectance spectroscopy.$h[electronic resource]
260 $c2004
500 $aArticle history: Received 15 May 2003 / Accepted 7 October 2003.
520 $aABSTRACT. Visible (VIS) and near infrared reflectance spectroscopy (NIRS) was used to identify and authenticate different meat muscle species. Samples from beef (n: 100), lamb (n: 140), pork (n: 44) and chicken (n: 48) muscles were homogenised and scanned in the visible (VIS) and near infrared (NIR) region (400-2500 nm) in a monochromator instrument in reflectance. Both Principal Component Analysis (PCA) and dummy partial least-squares regression (PLS) models were developed to identify different meat species. The models correctly classified more than 80% of the meat sample muscles according with the muscle specie. The results showed the potential of VIS and NIR spectra as an objective and rapid method for authentication and identification of meat muscle species. © 2003 Swiss Society of Food Science and Technology. Published by Elsevier Ltd. All rights reserved.
653 $aIdentification
653 $aMeat
653 $aNear infrared spectroscopy
653 $aPrincipal component analysis
653 $aSpeciation
653 $aVisible
700 1 $aMURRAY, I.
773 $tLWT - Food Science and Technology, 2004, 37 (4): 447-452. Doi: https://doi.org/doi:10.1016/j.lwt.2003.10.013
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