Fecha/hora: 07/06/2024 04:16:20

Biblioteca(s): | INIA Las Brujas.
Fecha corriente: | 05/02/2020
Fecha de la última actualización: | 05/02/2020
Autoria: | CORBELLA, E.; COZZOLINO, D.
Afiliación: | EDUARDO DANIEL CORBELLA GONZALEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Australian Wine Research Institute, Waite Road, Adelaide, SA, Australia.
Título: | The use of visible and near infrared spectroscopy to classify the floral origin of honey samples produced in Uruguay.  [Short Communication].
Año de publicación: | 2005
Fuente/Imprenta: | Journal of Near Infrared Spectroscopy, 2005, Volume 13 Issue 2, Pages 63-68.
ISSN: | 0967-0335
DOI: | 10.1255/jnirs.458
Idioma: | Inglés
Notas: | Article history: Received: 18 June 2004 / Revised: 4 April 2005 / Accepted: 7 April 2005 / Web Publication: 29 July 2005.

Contenido:

ABSTRACT.
This study reports the use of visible (vis) and near infrared (NIR) spectroscopy as a tool to classify honey samples from Uruguay, according to their floral origin. Classification models were developed using principal component analysis, discriminant partial least squares (DPLS) regression and linear discriminant analysis (LDA). Honey samples (n = 50) from two floral origins, namely Eucalyptus spp. and pasture, were split randomly into even calibration (n = 25) and validation sets (n = 25). Both LDA and DPLS models correctly classified, on average, more than 75% of the honey samples belonging to pasture and more than 85% of the honey samples belonging to Eucalyptus spp. These results showed that vis-NIR might be a suitable and alternative method that can easily be implemented by both the industry and retailers to classify samples according their floral origin. Vis-NIR analysis requires little sample preparation and is rapid. However, the relatively limited number of samples involved in the present work led us to be cautious in terms of extrapolating the results of this work to other floral types. © NIR Publications 2005.

Palabras-Clave: | DPLS; Floral origin; Honey; LDA; Near infrared spectroscopy; Partial least squares discrimination; Visible, classifi cation.
Categoría del tema: | A50 Investigación agraria
Registro original: | INIA Las Brujas (LB)
Ejemplares: | LB - (102168-1) - PXI - AP - DD - PP/Jr.Near Infrared Spectroscopy/2005 -  -  - DIS