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http://hdl.handle.net/10662/22177
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Campo DC | Valor | idioma |
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dc.contributor.author | Martín Tornero, Elísabet | - |
dc.contributor.author | Durán Merás, Isabel | - |
dc.contributor.author | Muñoz de la Peña, Arsenio | - |
dc.contributor.author | Galeano Díaz, María Teresa | - |
dc.date.accessioned | 2024-09-02T12:30:05Z | - |
dc.date.available | 2024-09-02T12:30:05Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://hdl.handle.net/10662/22177 | - |
dc.description.abstract | In this work, the use of excitation-emission fluorescence matrices (EEMs) has been addressed to differentiate two kinds of cheeses with protected designations of origin (PDO), “Torta del Casar” and “Queso de la Serena”. The fluorescence signals were recorded directly on cheese samples during the ripening process, by using a fiber optic assembled to the fluorescence spectrometer, and the data were subjected to analysis by the multivariate algorithm parallel factor analysis (PARAFAC). PARAFAC analysis identified the presence of three fluorophores in both cheeses. The scores of the two first components, attributed to the presence of tryptophane, decreased as the ripening time increased. However, the third component, related to retinol (vitamin A), remains almost constant along the ripening period. EEMs of the samples of the two types of cheese were similar in the initial days of the maturation periods. However, when only the samples from day 36 onwards were considered, it was possible to differentiate them with high precision by PARAFAC in combination with linear discriminant analysis (LDA). In addition, a model was built for the quantification of vitamin A and α-tocopherol (vitamin E), by using the EEMs combined with the multivariate unfolded partial least squares (UPLS) algorithm. | es_ES |
dc.description.sponsorship | Financial support was provided by the Ministerio de Ciencia e Innovación de España (Project PID2020-112996 GB-I00 financed by MCIN/AEI/10.13039/501100011033) and Junta de Extremadura (Project IB20016) co-financed by Fondos Europeos de Desarrollo Regional. | es_ES |
dc.format.extent | 7 p. | es_ES |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Torta del casar | es_ES |
dc.subject | Queso de la Serena | es_ES |
dc.subject | Espectroscopía de fluorescencia | es_ES |
dc.subject | U-PLS | es_ES |
dc.subject | PARAFAC | es_ES |
dc.subject | Chemometrics | es_ES |
dc.subject | Fluorescence spetroscopy | es_ES |
dc.title | Fiber optic fluorescence as non-invasive tool to monitor the ripening process of cheeses: Torta del casar and Queso de la Serena | es_ES |
dc.type | article | es_ES |
dc.description.version | peerReviewed | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | openAccess | es_ES |
dc.subject.unesco | 3309 Tecnología de Los Alimentos | es_ES |
dc.subject.unesco | 2301 Química Analítica | es_ES |
dc.subject.unesco | 3309.09 Productos lácteos | es_ES |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | Martín-Tornero, E., Durán-Merás, I., Muñoz de la Peña, A, Galeano-Díaz, T. (2024). Fiber optic fluorescence as non-invasive tool to monitor the ripening process of cheeses: Torta del casar and Queso de la Serena. LWT, 199, 116141. https://doi.org/10.1016/j.lwt.2024.116141 | es_ES |
dc.type.version | publishedVersion | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Química Analítica | es_ES |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0023643824004201 | es_ES |
dc.identifier.doi | 10.1016/j.lwt.2024.116141 | - |
dc.identifier.publicationtitle | LWT | es_ES |
dc.identifier.publicationfirstpage | 116141-1 | es_ES |
dc.identifier.publicationlastpage | 116141-7 | es_ES |
dc.identifier.publicationvolume | 199 | es_ES |
dc.identifier.e-issn | 0023-6438 | - |
dc.identifier.orcid | 0000-0002-8908-1104 | es_ES |
Colección: | DQUAN - Artículos |
Archivos
Archivo | Descripción | Tamaño | Formato | |
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j_lwt_2024_116141.pdf | 2,68 MB | Adobe PDF | Descargar |
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