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dc.contributor.authorBonini, Ana-
dc.contributor.authorTamaño, Gabriela-
dc.contributor.authorFariña, Laura-
dc.contributor.authorBoido, Eduardo-
dc.contributor.authorDellacassa, Eduardo-
dc.contributor.authorPianezze, Silvia-
dc.contributor.authorPerini, Matteo-
dc.date.accessioned2024-05-08T13:12:13Z-
dc.date.available2024-05-08T13:12:13Z-
dc.date.issued2024-
dc.identifier.citationBonini, A., Tamaño, G., Fariña, L. y otros "Improving honey identification: stable isotope ratios variability of mono and polyfloral honeys from the citrus growing area of Salto/Concordia and from Uruguayan coastal areas". Journal of Food Composition and Analysis . [en línea] v.129, 2024. DOI: 10.1016/j.jfca.2024.106132es
dc.identifier.urihttps://hdl.handle.net/20.500.12008/43766-
dc.description.abstractConcordia in Argentina and Salto in Uruguay are two neighbouring regions famous for the production of a precious citrus honey, whose valorisation passes through the ability to guarantee its geographical origin. In this study the influence of the different botanical origins (monofloral and polyfloral) within the same region of origin on the different stable isotope ratios was evaluated. Moreover, the effectiveness of the stable isotope ratio parameters δ13Choney, δ13Cprotein, δ15Nprotein, δ34Sprotein, δ2Hprotein and δ18Oprotein to discriminate between honeys produced in the internal border regions between Argentina and Uruguay (namely, Concordia and Salto) and honeys sampled in the two different Uruguayan coastal regions (Canelones and Maldonado) was tested on 82 monofloral and polyfloral honey samples. The results show that the different stable isotope ratios, except that of nitrogen, are not significantly influenced by the botanical origin of the samples. The sulphur isotopic ratio of proteins and carbon of honey are the most significant parameters for discriminating the geographical origin of the honeys considered. Applied a Principal Component Analysis, the first two factors overall explain 63.5% of the total variance, while the Discriminant Analysis provided optimal discrimination between the three origins, reaching a minimum of 96.7% correct reclassification.es
dc.format.extent10 p.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenes
dc.publisherElsevieres
dc.relation.ispartofJournal of Food Composition and Analysis v.129, 2024. -- e106132es
dc.rightsLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)es
dc.subject.otherURUGUAYes
dc.subject.otherMIELes
dc.subject.otherISOTOPOS ESTABLESes
dc.titleImproving honey identification: stable isotope ratios variability of mono and polyfloral honeys from the citrus growing area of Salto/Concordia and from Uruguayan coastal areases
dc.typeArtículoes
dc.contributor.filiacionBonini Ana-
dc.contributor.filiacionTamaño Gabriela-
dc.contributor.filiacionFariña Laura-
dc.contributor.filiacionBoido Eduardo-
dc.contributor.filiacionDellacassa Eduardo-
dc.contributor.filiacionPianezze Silvia-
dc.contributor.filiacionPerini Matteo-
dc.rights.licenceLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)es
dc.identifier.doi10.1016/j.jfca.2024.106132-
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