| dc.contributor.author | Hernández Ramos, Pedro | |
| dc.contributor.author | Martínez Martín, Iván | |
| dc.contributor.author | Hernández Jiménez, Miriam | |
| dc.contributor.author | Vivar Quintana, Ana María | |
| dc.contributor.author | Revilla Martín, Isabel | |
| dc.contributor.author | González Martín, María Inmaculada | |
| dc.date.accessioned | 2019-10-30T09:43:33Z | |
| dc.date.available | 2019-10-30T09:43:33Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | http://hdl.handle.net/10366/140216 | |
| dc.description.abstract | [EN]In Spain the largest producer of Iberian ham is the Protected Designation of Origin (PDO) of “Guijuelo”. The price of these products gives rise to the need for the development of a reliable methodology to allow the authentication of the ham so as to avoid fraud. Near infrared spectroscopy (NIR) is one of the techniques with the potential for this purpose. However, NIR spectral information due to its complexity requires a multivariate data analysis such as artificial neural networks (ANN). In this study spectral information obtained from a NIRS analysis was therefore used to test the authenticity of Iberian ham by means of ANN. | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | es_ES |
| dc.rights | CC0 1.0 Universal | * |
| dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
| dc.subject | NIR technology | es_ES |
| dc.subject | Artificial neural networks | es_ES |
| dc.subject | Cured ham | es_ES |
| dc.subject | Sensorial analysis | |
| dc.title | NIRS and artificial neuronal network to discriminate Iberian dry ham DO “Jamón de Guijuelo” | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.subject.unesco | 33 Ciencias tecnológicas | es_ES |
| dc.subject.unesco | 3309 Tecnología de Los Alimentos | es_ES |
| dc.relation.projectID | JUNTA DE CASTILLA Y LEON SA039P17 | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
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