Wine classification with a zinc oxide SAW sensor array

Abstract

An array of surface acoustic wave (SAW) sensors using Zinc oxide films has been developed in order to discriminate Spanish wine coming from different grape varieties and elaboration processes. Sensor array is composed by eight surface acoustic wave sensors, one of them used as reference sensor and the others coated with diverse polymers by spray coating technique. Linear techniques as principal component analysis (PCA) and non-linear ones as probabilistic neural networks (PNN) have been used for pattern recognition. A classification success rate (correct predicted number over total number of measurements) of 90% has been achieved.