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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
Fecha : |
21/02/2014 |
Actualizado : |
09/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
COZZOLINO, D.; RESTAINO, E.; FASSIO, A. |
Afiliación : |
D. COZZOLINO, The Australian Wine Research Institute, Waite Campus, Adelaide, Australia; ERNESTO ANGEL RESTAINO GALUP, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; ALBERTO SANTIAGO FASSIO ARAUJO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Discrimination of yerba mate (Ilex paraguayensis St. Hil.) samples according to their geographical origin by means of near infrared spectroscopy and multivariate analysis. |
Fecha de publicación : |
2010 |
Fuente / Imprenta : |
Sensing and Instrumentation for Food Quality and Safety, 2010, v.4, no.2, p.67-72. |
DOI : |
10.1007/s11694-010-9096-y |
Idioma : |
Inglés |
Notas : |
Article history: Received: 13 December 2009 / Accepted: 17 April 2010 / Published online: 29 April 2010. |
Contenido : |
ABSTRACT.
Near infrared reflectance (NIR) spectroscopy combined with multivariate data analysis was used to discriminate between the geographical origins of yerba mate (Ilex paraguayensis St. Hil.) samples. Samples were purchased from the local market and scanned in the NIR region (1100-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) were used to classify the samples based on their NIR spectra according to their geographical origin. Full cross validation was used as validation method when classification models were developed. The overall classification rates obtained were 76 and 100% using PLS-DA and LDA, respectively. The results demonstrated the usefulness of NIR spectra combined with multivariate data analysis as an objective and rapid method to classify yerba mate samples according to their geographical origin. Nevertheless, NIR spectroscopic might provide initial screening in the food chain and enable costly methods to be used more productively on suspect specimens.
© 2010 Springer Science+Business Media, LLC. |
Palabras claves : |
ANÁLISIS MULTIVARIANTE; ESPECTROSCOPÍA DE REFLECTANCIA EN EL INFRARROJO CERCANO; NIRS; ORIGEN GEOGRÁFICO; YERBA MATE. |
Thesagro : |
ESPECTROSCOPÍA DEL INFRARROJO CERCANO; ILEX PARAGUARIENSIS; YERBA MATE. |
Asunto categoría : |
F01 Cultivo Q01 Ciencia y tecnología de los alimentos |
Marc : |
LEADER 02183naa a2200265 a 4500 001 1012847 005 2019-10-09 008 2010 bl uuuu u00u1 u #d 024 7 $a10.1007/s11694-010-9096-y$2DOI 100 1 $aCOZZOLINO, D. 245 $aDiscrimination of yerba mate (Ilex paraguayensis St. Hil.) samples according to their geographical origin by means of near infrared spectroscopy and multivariate analysis. 260 $c2010 500 $aArticle history: Received: 13 December 2009 / Accepted: 17 April 2010 / Published online: 29 April 2010. 520 $aABSTRACT. Near infrared reflectance (NIR) spectroscopy combined with multivariate data analysis was used to discriminate between the geographical origins of yerba mate (Ilex paraguayensis St. Hil.) samples. Samples were purchased from the local market and scanned in the NIR region (1100-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) were used to classify the samples based on their NIR spectra according to their geographical origin. Full cross validation was used as validation method when classification models were developed. The overall classification rates obtained were 76 and 100% using PLS-DA and LDA, respectively. The results demonstrated the usefulness of NIR spectra combined with multivariate data analysis as an objective and rapid method to classify yerba mate samples according to their geographical origin. Nevertheless, NIR spectroscopic might provide initial screening in the food chain and enable costly methods to be used more productively on suspect specimens. © 2010 Springer Science+Business Media, LLC. 650 $aESPECTROSCOPÍA DEL INFRARROJO CERCANO 650 $aILEX PARAGUARIENSIS 650 $aYERBA MATE 653 $aANÁLISIS MULTIVARIANTE 653 $aESPECTROSCOPÍA DE REFLECTANCIA EN EL INFRARROJO CERCANO 653 $aNIRS 653 $aORIGEN GEOGRÁFICO 653 $aYERBA MATE 700 1 $aRESTAINO, E. 700 1 $aFASSIO, A. 773 $tSensing and Instrumentation for Food Quality and Safety, 2010$gv.4, no.2, p.67-72.
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó; INIA Treinta y Tres. |
Fecha actual : |
21/02/2014 |
Actualizado : |
06/05/2021 |
Tipo de producción científica : |
Actividades de Difusión |
Autor : |
RISSO, D.; BERMÚDEZ, R.; AYALA, W.; FERRÉS, S. (Ed.). |
Afiliación : |
DIEGO FERNANDO RISSO RIET, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAÚL ENRIQUE BERMÚDEZ COQUARD, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WALTER FELIZARDO AYALA SILVERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FERRES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Jornada Pasturas en la Sierra, 2003, Sitio Experimental Arbolito, Cerro Largo, Uruguay. |
Fecha de publicación : |
2003 |
Fuente / Imprenta : |
Treinta y Tres, Uruguay: INIA, 2003. |
Páginas : |
32 p. |
Serie : |
(INIA Serie Actividades de Difusión; 324) |
Idioma : |
Español |
Thesagro : |
FOSFORO; GRAMINEAS FORRAJERAS; LEGUMINOSAS FORRAJERAS; LOTUS; MANEJO DE PRADERAS. |
Asunto categoría : |
-- F04 Fertilización |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/342/1/111219210807171454.pdf
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Marc : |
LEADER 00626nam a2200217 a 4500 001 1023510 005 2021-05-06 008 2003 bl uuuu u01u1 u #d 100 1 $aRISSO, D. 245 $aJornada Pasturas en la Sierra, 2003, Sitio Experimental Arbolito, Cerro Largo, Uruguay. 260 $aTreinta y Tres, Uruguay: INIA$c2003 300 $a32 p. 490 $a(INIA Serie Actividades de Difusión; 324) 650 $aFOSFORO 650 $aGRAMINEAS FORRAJERAS 650 $aLEGUMINOSAS FORRAJERAS 650 $aLOTUS 650 $aMANEJO DE PRADERAS 700 1 $aBERMÚDEZ, R. 700 1 $aAYALA, W. 700 1 $aFERRÉS, S.
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