Differentiation of products derived from Iberian breed swine by electronic olfactometry (electronic nose) Original Research Article

The aim of the present work was to differentiate products derived from Iberian breed swine, using chemometric analysis of the data obtained from an array of gas sensors. A commercial Electronic Nose (FOX 2000) comprising six metal oxide semiconductor sensors was used to generate a pattern of volatile compounds present in the samples. Linear discriminant analysis (LDA) and independent class modelling, i.e. soft independent modelling of class analogy (SIMCA) were applied to the patterns generated to achieve several classification tasks. The procedure for obtaining the signals and the chemometric treatment are rapid and simple, allowing the classification of products derived from Iberian swine according to the type of feeding regimen they have been subject to (feed, feed+acorn, acorns alone) using samples of subcutaneous adipose tissue.