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dc.contributor.authorVega-Castellote, Miguel
dc.contributor.authorPérez-Marín, D.C.
dc.contributor.authorTorres, Irina
dc.contributor.authorMoreno-Rojas, José Manuel
dc.contributor.authorOrdoñez-Díaz, José Luis
dc.contributor.authorSánchez, María-Teresa
dc.date.accessioned2024-04-01T12:13:52Z
dc.date.available2024-04-01T12:13:52Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/10396/27744
dc.description.abstractCurrently, one of the main demands of consumers - especially in large fruits such as watermelon - is for supermarkets to use techniques of non-invasive analysis to enable them to measure the sweetness of the fruits at the time of purchase, and thus avoid having to base the choice exclusively on external appearance. In addition, increasing interest is being shown by consumers in knowing the nutritional quality of healthy foods, such as watermelon. Near infrared spectroscopy (NIRS) was used to assess in situ the physicochemical and nutritional quality of half-watermelons, which is the format in which they are usually sold in supermarkets at the beginning of the season, due to their high price. A handheld, new-generation spectrophotometer was used for this purpose, and two modes of analysis, static and dynamic, were studied. The results obtained show the viability of using NIRS technology in dynamic mode at the supermarket level to obtain a reliable measurement of the sweetness of the half-fruits, thus meeting the consumers’ demand for sweet-tasting fruits. Promising results were also obtained for measuring the antioxidant activity of the half-watermelons, thus paving the way for the nutritional labelling of this healthy food at the supermarket level.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourceMiguel Vega-Castellote, Dolores Pérez-Marín, Irina Torres-Rodríguez, José-Manuel Moreno-Rojas, José-Luis Ordoñez-Díaz, María-Teresa Sánchez, Green, multivariate approach for obtaining a fingerprint of quality of watermelons at supermarket level using near infrared spectroscopy, LWT, Volume 182, 2023, 114831es_ES
dc.subjectPortable NIR sensores_ES
dc.subjectIn situ analysises_ES
dc.subjectNon-destructive quality assessmentes_ES
dc.subjectFruit sweetnesses_ES
dc.subjectAntioxidant activityes_ES
dc.titleGreen, multivariate approach for obtaining a fingerprint of quality of watermelons at supermarket level using near infrared spectroscopyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.lwt.2023.114831es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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