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Título
Differentiation of bee pollen samples according to their intact-glucosinolate content using canonical discriminant analysis
Autor
Año del Documento
2020
Editorial
Elsevier
Descripción
Producción Científica
Documento Fuente
LWT - Food Science and Technology, Mayo 2020, vol. 2020, n. 109559.
Résumé
A study is presented of the real possibilities of glucosinolate content and chemometrics (canonical discriminant analysis) to differentiate bee pollen samples from four different apiaries (Fuentelahiguera, Monte, Pistacho, Tío Natalio) located in the same geographical area. Fifteen intact-glucosinolates were quantified by means of ultraperformance liquid chromatography coupled to a quadrupole time-of-flight mass detector in forty-nine bee pollen samples. Glucosinolate residues were detected in most of the samples, and these differed in number and concentration. It was possible to directly differentiate one of the apiaries (Fuentelahiguera) from the other three (Monte, Pistacho y Tío Natalio) by comparing glucosinolate content. These three apiaries were differentiated by means of the first two canonical variables obtained from a canonical discriminant analysis. Following this analysis, more than 88% of the samples could be assigned correctly to the Pistacho and Monte apiaries, and 100% to the Tío Natalio apiary.
Palabras Clave
Authenticity; Bee pollen; Canonical discriminant analysis; Glucosinolates; UPLC-Q-TOF/MS
Revisión por pares
SI
Patrocinador
Este trabajo forma parte de los proyectos de investigación financiados por el Ministerio de Economía y Competitividad e INIA-FEDER (RTA2015-00013-C03-01 y 03).
Propietario de los Derechos
Elsevier
Idioma
eng
Tipo de versión
info:eu-repo/semantics/acceptedVersion
Derechos
openAccess
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