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Green, multivariate approach for obtaining a fingerprint of quality of watermelons at supermarket level using near infrared spectroscopy
dc.contributor.author | Vega-Castellote, Miguel | |
dc.contributor.author | Pérez-Marín, D.C. | |
dc.contributor.author | Torres, Irina | |
dc.contributor.author | Moreno-Rojas, José Manuel | |
dc.contributor.author | Ordoñez-Díaz, José Luis | |
dc.contributor.author | Sánchez, María-Teresa | |
dc.date.accessioned | 2024-04-01T12:13:52Z | |
dc.date.available | 2024-04-01T12:13:52Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://hdl.handle.net/10396/27744 | |
dc.description.abstract | Currently, 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.mimetype | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
dc.source | Miguel 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, 114831 | es_ES |
dc.subject | Portable NIR sensor | es_ES |
dc.subject | In situ analysis | es_ES |
dc.subject | Non-destructive quality assessment | es_ES |
dc.subject | Fruit sweetness | es_ES |
dc.subject | Antioxidant activity | es_ES |
dc.title | Green, multivariate approach for obtaining a fingerprint of quality of watermelons at supermarket level using near infrared spectroscopy | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.lwt.2023.114831 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |