2024-03-28T22:21:03Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1402162024-02-14T08:31:07Zcom_10366_137028com_10366_4512com_10366_3823com_10366_4350com_10366_4349com_10366_3946col_10366_140206col_10366_4356
Hernández Ramos, Pedro
Martínez Martín, Iván
Hernández Jiménez, Miriam
Vivar Quintana, Ana María
Revilla Martín, Isabel
González Martín, María Inmaculada
2019
[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.
application/pdf
http://hdl.handle.net/10366/140216
eng
33 Ciencias tecnológicas
3309 Tecnología de Los Alimentos
NIRS and artificial neuronal network to discriminate Iberian dry ham DO “Jamón de Guijuelo”
info:eu-repo/semantics/conferenceObject
TEXT
Gredos. Repositorio Documental de la Universidad de Salamanca
Hispana