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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 La Estanzuela; INIA Las Brujas. |
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Fecha : |
21/02/2014 |
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Actualizado : |
09/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
COZZOLINO, D.; RESTAINO, E.; FASSIO, A. |
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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. |
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Título : |
Discrimination of yerba mate (Ilex paraguayensis St. Hil.) samples according to their geographical origin by means of near infrared spectroscopy and multivariate analysis. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Sensing and Instrumentation for Food Quality and Safety, 2010, v.4, no.2, p.67-72. |
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DOI : |
10.1007/s11694-010-9096-y |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 13 December 2009 / Accepted: 17 April 2010 / Published online: 29 April 2010. |
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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. |
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Palabras claves : |
ANÁLISIS MULTIVARIANTE; ESPECTROSCOPÍA DE REFLECTANCIA EN EL INFRARROJO CERCANO; NIRS; ORIGEN GEOGRÁFICO; YERBA MATE. |
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Thesagro : |
ESPECTROSCOPÍA DEL INFRARROJO CERCANO; ILEX PARAGUARIENSIS; YERBA MATE. |
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Asunto categoría : |
F01 Cultivo
Q01 Ciencia y tecnología de los alimentos |
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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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