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dc.contributor.author | Ares Sacristán, Ana María | |
dc.contributor.author | Redondo, Montserrat | |
dc.contributor.author | Tapia García, Jesús Alberto | |
dc.contributor.author | González-Porto, Amelia V. | |
dc.contributor.author | Higes, Mariano | |
dc.contributor.author | Martín-Hernández, Raquel | |
dc.contributor.author | Bernal del Nozal, José | |
dc.date.accessioned | 2024-01-10T17:59:45Z | |
dc.date.available | 2024-01-10T17:59:45Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | LWT - Food Science and Technology, Mayo 2020, vol. 2020, n. 109559. | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/64404 | |
dc.description | Producción Científica | es |
dc.description.abstract | 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. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.classification | Authenticity; Bee pollen; Canonical discriminant analysis; Glucosinolates; UPLC-Q-TOF/MS | es |
dc.title | Differentiation of bee pollen samples according to their intact-glucosinolate content using canonical discriminant analysis | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | Elsevier | es |
dc.identifier.doi | https://doi.org/10.1016/j.lwt.2020.109559 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S002364382030548X?via%3Dihub | es |
dc.identifier.publicationtitle | LWT - Food Science and Technology | es |
dc.peerreviewed | SI | es |
dc.description.project | 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). | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | es |
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