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Detection of honey adulteration by conventional and real-time PCR

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Detection of honey adulteration by conventional and real-time PCR

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dc.contributor.author Sobrino-Gregorio, Lara es_ES
dc.contributor.author Vilanova Navarro, Santiago es_ES
dc.contributor.author Prohens Tomás, Jaime es_ES
dc.contributor.author Escriche Roberto, Mª Isabel es_ES
dc.date.accessioned 2018-10-31T11:35:36Z
dc.date.available 2018-10-31T11:35:36Z
dc.date.issued 2019 es_ES
dc.identifier.issn 0956-7135 es_ES
dc.identifier.uri http://hdl.handle.net/10251/111648
dc.description.abstract [EN] This work applies both conventional and real-time PCR DNA amplification techniques for detecting and quantifying rice molasses in honey. Different levels of adulteration were simulated (1, 2, 5, 10, 20, 50%) using commercial rice molasses. Among the different specific genes of rice tested by PCR, the PLD1 primer was the most effective. This allowed the visualization in agarose gel of this type of adulterant up to 5-20%. Moreover, by means of real-time PCR it was possible to distinguish the different levels of rice DNA, and therefore the percentage of adulteration (1-50%). A standard curve built with the DNA serial dilutions of rice genomic DNA concentrations showed that the quantification level was between 2-5%. These results offer compelling evidence that DNA techniques could be useful not only for the detection of adulterations of honey with rice molasses but also for the quantification of levels lower than those of conventional techniques. es_ES
dc.description.sponsorship This study is part of part of the projects funded by the "Agencia Estatal de Investigacion" (AGL2016-77702-R) and by the "Generalitat Valenciana" (AICO/2015/104) of Spain, for which the authors are grateful.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Food Control es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Honey authentication es_ES
dc.subject Conventional-PCR es_ES
dc.subject Real-time-PCR es_ES
dc.subject.classification GENETICA es_ES
dc.subject.classification TECNOLOGIA DE ALIMENTOS es_ES
dc.title Detection of honey adulteration by conventional and real-time PCR es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.foodcont.2018.07.037 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//AGL2016-77702-R/ES/DISEÑO DE UN BIOSENSOR DE ADN BASADO EN TECNOLOGIA HFF-QCM PARA LA DETECCION DE SUSTANCIAS ADULTERANTES EN MIEL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//AICO%2F2015%2F104/ es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2019-07-26 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería de Alimentos para el Desarrollo - Institut Universitari d'Enginyeria d'Aliments per al Desenvolupament es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Biotecnología - Departament de Biotecnologia es_ES
dc.description.bibliographicCitation Sobrino-Gregorio, L.; Vilanova Navarro, S.; Prohens Tomás, J.; Escriche Roberto, MI. (2019). Detection of honey adulteration by conventional and real-time PCR. Food Control. 95:57-62. https://doi.org/10.1016/j.foodcont.2018.07.037 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.foodcont.2018.07.037 es_ES
dc.description.upvformatpinicio 57 es_ES
dc.description.upvformatpfin 62 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 95 es_ES
dc.relation.pasarela S\367729 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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