%0 Journal Article
%T Classification of Iberian pigs according to intensive feeding by chemsensor
%A Carrasco
%A J. A.
%A Duque
%A J. P.
%J Grasas y Aceites
%D 2013
%I Consejo Superior de Investigaciones Cient¨ªficas
%R 10.3989/gya.130512
%X Pork quality is highly dependent on intensive feeding during the fattening step. For that reason a large number of analytical methods are continuously being developed to evaluate it. Among them is the ChemSensor method which comprises a multivariate analysis in a gas chromatograph with a mass spectrometry detection device. This technique affords a feeding grouping of similar features, leading to a classification of meat quality. Using a mathematical predictive model for new, unknown samples the right classification is achieved as well as the type of intensive feeding used during the fattening of pigs. Pigs from two campaignes have been classificated with good results, although a certain difficulty in prediction was found due to the excessively large number of classes stated in the official Quality Iberian Standards, and the customs of the farmers themselves in relation with the handling of animals and the intensive feeding provided. Narrowing the number of classes down to two, ¡°Bellota¡± and ¡°Pienso¡±, would contribute to a better understanding in the Iberian pig market. La calidad de la carne de cerdo est¨¢ muy relacionada con la alimentaci¨®n que ha tenido en su fase de cebo, por lo que se est¨¢n desarrollando m¨¦todos anal¨ªticos que determinen la misma. Entre ellos se encuentra el ChemSensor o Sensor qu¨ªmico que incorpora an¨¢lisis multivariante a la tecnolog¨ªa de cromatograf¨ªa de gases con detector de masas. Esta t¨¦cnica permite agrupar alimentos por similitudes y mediante un modelo matem¨¢tico proceder a su clasificaci¨®n. Mediante un modelo matem¨¢tico de predicci¨®n consigue clasificar muestras inc¨®gnitas y definir la alimentaci¨®n que ha tenido el cerdo en su fase de engorde. Se han clasificado cerdos de dos campa as y a pesar de obtener una buena clasificaci¨®n, se ha constatado el grado de dificultad de predecir la alimentaci¨®n por el elevado n¨²mero de clases contemplado en la norma como por las propias costumbres de los ganaderos en sus t¨¦cnicas productivas as¨ª como la variabilidad de los piensos utilizados. Reducir el n¨²mero de clases a bellota y pienso, ayudar¨ªa a clarificar el mercado del cerdo ib¨¦rico.
%K ChemSensor
%K Classification
%K Food
%K Gas Chromatography-Mass Spectrometry
%K Jam
%K Multivariate analysis
%K Pig
%K Alimentos
%K An¨¢lisis multivariante
%K Cerdo
%K ChemSensor
%K Clasificaci¨®n
%K Cromatograf¨ªa de gases-masas
%K Jam¨®n
%U http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1421/1416