Electronic nose for wine discrimination

An electronic nose based on metal oxide semiconductor thin-film sensors has been used to characterize and classify four types of red wines of the same variety of grapes which come from the same cellar. Two different systems for the injection of the volatile compounds coming from the wine, based on static and dynamic headspace sampling, were used. Sensor response generates a typical chemical fingerprint of the volatile compounds present in the wines. Data analysis was performed by two pattern recognition methods: principal component analysis (PCA) and probabilistic neuronal network (PNN). The results show that electronic nose was able to identify the above wine well. (c) 2005 Elsevier B.V. All rights reserved.