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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
22/11/2016 |
Actualizado : |
22/11/2016 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
COZZOLINO, D.; FASSIO, A.; RESTAINO, E.; FERNANDEZ, E.; LA MANNA, A. |
Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALBERTO SANTIAGO FASSIO ARAUJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ERNESTO ANGEL RESTAINO GALUP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ENRIQUE GENARO FERNANDEZ RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Verification of silage type using near-infrared spectroscopy combined with multivariate analysis. |
Fecha de publicación : |
2008 |
Fuente / Imprenta : |
Journal of Agricultural and Food Chemistry, 2008, v. 56, no.1, p.79-83. |
DOI : |
10.1021/jf072566d |
Idioma : |
Inglés |
Notas : |
Received 28 August 2007 // Date accepted 8 November 2007 // Published online 27 November 2007 // Published in print 1 January 2008. |
Contenido : |
ABSTRACT.
The ability to authenticate the feed given to animals has become a major challenge in animal production, where the diet fed to the animal is one of the most important production factors affecting the composition of milk and meat from cattle, sheep, and goats. Hence, there is currently an increased consumer demand for information on herbivore production factors and particularly the animal diet. The aim of this study was to evaluate the reliability and accuracy of near-infrared (NIR) reflectance spectroscopy as a tool to verify and authenticate the type of silage used as fed for ruminants. Grain silage (GrS, n ) 94), grass and legume silage (GLegS, n ) 121), and sunflower silage (SunS, n ) 50) samples were collected from commercial farms and analyzed in the visible and NIR regions (400-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA),
partial least-squares discriminant analysis (PLS1-DA), and linear discriminant analysis (LDA) models ere used as methods to verify the different silage types. The classification models based on the NIR data correctly classified more than 90% of the silage samples according to their type. The results from this study showed that NIR spectra combined with multivariate analysis could be used as a tool to objectively authenticate silage samples used as a feed for ruminants.
© 2008 American Chemical Society |
Palabras claves : |
IDENTIFICATION; LINEAR DISCRIMINANT ANALYSIS; NEAR-INFRARED SPECTROSCOPY; PARTIAL LEAST-SQUARES DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SILAGE. |
Asunto categoría : |
-- |
Marc : |
LEADER 02371naa a2200265 a 4500 001 1056114 005 2016-11-22 008 2008 bl uuuu u00u1 u #d 024 7 $a10.1021/jf072566d$2DOI 100 1 $aCOZZOLINO, D. 245 $aVerification of silage type using near-infrared spectroscopy combined with multivariate analysis.$h[electronic resource] 260 $c2008 500 $aReceived 28 August 2007 // Date accepted 8 November 2007 // Published online 27 November 2007 // Published in print 1 January 2008. 520 $aABSTRACT. The ability to authenticate the feed given to animals has become a major challenge in animal production, where the diet fed to the animal is one of the most important production factors affecting the composition of milk and meat from cattle, sheep, and goats. Hence, there is currently an increased consumer demand for information on herbivore production factors and particularly the animal diet. The aim of this study was to evaluate the reliability and accuracy of near-infrared (NIR) reflectance spectroscopy as a tool to verify and authenticate the type of silage used as fed for ruminants. Grain silage (GrS, n ) 94), grass and legume silage (GLegS, n ) 121), and sunflower silage (SunS, n ) 50) samples were collected from commercial farms and analyzed in the visible and NIR regions (400-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), partial least-squares discriminant analysis (PLS1-DA), and linear discriminant analysis (LDA) models ere used as methods to verify the different silage types. The classification models based on the NIR data correctly classified more than 90% of the silage samples according to their type. The results from this study showed that NIR spectra combined with multivariate analysis could be used as a tool to objectively authenticate silage samples used as a feed for ruminants. © 2008 American Chemical Society 653 $aIDENTIFICATION 653 $aLINEAR DISCRIMINANT ANALYSIS 653 $aNEAR-INFRARED SPECTROSCOPY 653 $aPARTIAL LEAST-SQUARES DISCRIMINANT ANALYSIS 653 $aPRINCIPAL COMPONENT ANALYSIS 653 $aSILAGE 700 1 $aFASSIO, A. 700 1 $aRESTAINO, E. 700 1 $aFERNANDEZ, E. 700 1 $aLA MANNA, A. 773 $tJournal of Agricultural and Food Chemistry, 2008$gv. 56, no.1, p.79-83.
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
08/07/2021 |
Actualizado : |
08/07/2021 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
CARRAU, F.; BOIDO, E.; GAGGERO, C.; MEDINA, K.; FARIÑA, L.; DISEGNA, E.; DELLACASSA, I. |
Afiliación : |
F. CARRAU, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay.; E. BOIDO, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay.; C. GAGGERO, Departamento de Biología Molecular Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay.; K. MEDINA, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay.; L. FARIÑA, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay.; EDGARDO JOSE DISEGNA LIGUORI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; I. DELLACASSA, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay; Cátedra de Farmacognosia y Productos Naturales, Facultad de Química, Universidad de la República ,Montevideo, Uruguay. |
Título : |
Vitis vinifera Tannat, chemical characterization and functional properties. Ten years of research. |
Fecha de publicación : |
2011 |
Fuente / Imprenta : |
In: Multidisciplinary Approaches on Food Science and Nutrition for the XXI Century. Research Signpost/ Transworld Res. Network. Rosana Filip (editor), Kerala, India, 2011. pp.53-71. ISBN: 978-81-7895-504-9 |
ISBN : |
978-81-7895-504-9 |
Idioma : |
Inglés |
Notas : |
Correspondence/Reprint request: Dr. E. Dellacassa, Cátedra de Farmacognosia y Productos Naturales, Facultad de Química, Universidad de la República, Gral. Flores 2124, 11800-Montevideo, Uruguay. E-mail: edellac@fq.edu.uy |
Contenido : |
ABSTRACT - Although the ancient Vitis vinifera Tannat variety is virtually unknown in the international wine market, the strategy to promote it as the Uruguayan emblematic grape variety is starting to become successful in the red wines market. This paper presents a summary of the latest research and developments performed in
Uruguay with Tannat since the late 1970s, its origin and production statistics. As an expression of the state-of-the-art viticultural technology developed in Uruguay for this variety during the last ten years, the chemical characterization of the polyphenolic and aroma profiles, typical for this variety, is also presented. The high
polyphenolic content of this V. vinifera variety, when compared to other red grapes, confer its wines a high free radicals scavenging activity. Furthermore, from the
winemaking point of view, some New World wine-producing countries have planted this grape to blend it with their own varieties, with the purpose of adding more
structure and aging potential to their premium red wines. |
Palabras claves : |
WINE MARKET. |
Thesagro : |
TANNAT; VINOS; VITICULTURA; VITIS VINIFERA. |
Asunto categoría : |
F01 Cultivo |
Marc : |
LEADER 02165naa a2200277 a 4500 001 1062286 005 2021-07-08 008 2011 bl uuuu u00u1 u #d 020 $a978-81-7895-504-9 100 1 $aCARRAU, F. 245 $aVitis vinifera Tannat, chemical characterization and functional properties. Ten years of research.$h[electronic resource] 260 $c2011 500 $aCorrespondence/Reprint request: Dr. E. Dellacassa, Cátedra de Farmacognosia y Productos Naturales, Facultad de Química, Universidad de la República, Gral. Flores 2124, 11800-Montevideo, Uruguay. E-mail: edellac@fq.edu.uy 520 $aABSTRACT - Although the ancient Vitis vinifera Tannat variety is virtually unknown in the international wine market, the strategy to promote it as the Uruguayan emblematic grape variety is starting to become successful in the red wines market. This paper presents a summary of the latest research and developments performed in Uruguay with Tannat since the late 1970s, its origin and production statistics. As an expression of the state-of-the-art viticultural technology developed in Uruguay for this variety during the last ten years, the chemical characterization of the polyphenolic and aroma profiles, typical for this variety, is also presented. The high polyphenolic content of this V. vinifera variety, when compared to other red grapes, confer its wines a high free radicals scavenging activity. Furthermore, from the winemaking point of view, some New World wine-producing countries have planted this grape to blend it with their own varieties, with the purpose of adding more structure and aging potential to their premium red wines. 650 $aTANNAT 650 $aVINOS 650 $aVITICULTURA 650 $aVITIS VINIFERA 653 $aWINE MARKET 700 1 $aBOIDO, E. 700 1 $aGAGGERO, C. 700 1 $aMEDINA, K. 700 1 $aFARIÑA, L. 700 1 $aDISEGNA, E. 700 1 $aDELLACASSA, I. 773 $tIn: Multidisciplinary Approaches on Food Science and Nutrition for the XXI Century. Research Signpost/ Transworld Res. Network. Rosana Filip (editor), Kerala, India, 2011. pp.53-71. ISBN: 978-81-7895-504-9
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