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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 |