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dc.contributor.author | Lozano-Torres, Beatriz | es_ES |
dc.contributor.author | Martínez-Bisbal, M.Carmen | es_ES |
dc.contributor.author | Soto Camino, Juan | es_ES |
dc.contributor.author | Juan-Borras, María del Sol | es_ES |
dc.contributor.author | Martínez-Máñez, Ramón | es_ES |
dc.contributor.author | Escriche Roberto, Mª Isabel | es_ES |
dc.date.accessioned | 2023-07-10T18:02:55Z | |
dc.date.available | 2023-07-10T18:02:55Z | |
dc.date.issued | 2022-07-30 | es_ES |
dc.identifier.issn | 0308-8146 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/194789 | |
dc.description.abstract | [EN] Proton-nuclear-magnetic-resonance-spectroscopy (H-1 NMR) is the widely accepted reference method for monitoring honey adulteration; however, the need to find cheaper, faster, and more environmentally friendly methodologies makes the voltammetric-electronic-tongue (VET) a good alternative. The present study aims to demonstrate the ability of VET (in comparison with H-1 NMR) to predict the adulteration of honey with syrups. Samples of monofloral honeys (citrus, sunflower and heather, assessed by pollen analysis) simulating different levels of adulteration by adding syrups (barley, rice and corn) from 2.5 to 40% (w/w) were analyzed using both techniques. According to the indicators (slope, intercept, regression coefficient-R-2, root mean square error of prediction-RMSEP) of the partial-least-squares (PLS) regression models, in general terms, the performance of these models obtained by both techniques was good, with an average error lower than 5% in both cases. These results support the use of VET as a screening technique to easily detect honey adulteration with syrups. | es_ES |
dc.description.sponsorship | The authors are grateful for financial support from the "Ministerio de Ciencia e Innovacion, Agencia Estatal de Investigacon" of Spain under the project PID2019-106800RB-I00 (2019). Also, we wish to thank the Spanish Government (project RTI2018-100910-B-C41 (MCUI/FEDER, EU)), the Generalitat Valenciana (project PROMETEO 2018/024 B.L-T) and the Spanish "Ministerio de Educacion, Cultura y Deporte" (PhD grant FPU15/02707). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Food Chemistry | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Monofloral honey | es_ES |
dc.subject | Pollen analysis | es_ES |
dc.subject | Adulteration | es_ES |
dc.subject | Voltammetric-electronic-tongue | es_ES |
dc.subject | 1H NMR spectroscopy | es_ES |
dc.subject.classification | QUIMICA INORGANICA | es_ES |
dc.subject.classification | TECNOLOGIA DE ALIMENTOS | es_ES |
dc.title | Monofloral honey authentication by voltammetric electronic tongue: A comparison with 1H NMR spectroscopy | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.foodchem.2022.132460 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106800RB-I00/ES/ANALISIS POLINICO AUTOMATICO EMPLEANDO REDES NEURONALES CONVOLUCIONALES: APLICACION A LA CLASIFICACION MONOFLORAL DE LA MIEL/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEO2018%2F024/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-100910-B-C41/ES/MATERIALES POROSOS INTELIGENTES MULTIFUNCIONALES Y DISPOSITIVOS ELECTRONICOS PARA LA LIBERACION DE FARMACOS, DETECCION DE DROGAS Y BIOMARCADORES Y COMUNICACION A NANOESCALA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD//FPU15%2F02707/ES/FPU15%2F02707/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Gestión en la Edificación - Escola Tècnica Superior de Gestió en l'Edificació | es_ES |
dc.description.bibliographicCitation | Lozano-Torres, B.; Martínez-Bisbal, M.; Soto Camino, J.; Juan-Borras, MDS.; Martínez-Máñez, R.; Escriche Roberto, MI. (2022). Monofloral honey authentication by voltammetric electronic tongue: A comparison with 1H NMR spectroscopy. Food Chemistry. 383(132460):1-8. https://doi.org/10.1016/j.foodchem.2022.132460 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.foodchem.2022.132460 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 8 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 383 | es_ES |
dc.description.issue | 132460 | es_ES |
dc.identifier.pmid | 35182878 | es_ES |
dc.relation.pasarela | S\456319 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Educación, Cultura y Deporte | es_ES |