Abstract
In this paper, we report a specific application of an electronic nose based on a semiconductor thin film sensor array for the discrimination of different hams. The sensing elements of the sensor array were undoped and doped (Cr, Pt) SnO 2 thin films prepared by sputtering process. A system based on a static headspace sampling was used for the injection of the volatile compounds coming from the hams. Data analysis was performed by two pattern recognition methods: principal component analysis (PCA) and probabilistic neuronal network (PNN). The obtained results show that the electronic nose was able to identify the ham samples clearly.
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