Abstract
An electronic nose is described which consists of a gas sensor array combined with a pattern recognition routine. The sensor m y consists of 10 metal-oxide-semiconductor field effect transistor (MOSFETs) catalytically active metal with gates. It also contains four commercially available chemical sensors based on tin dioxide, the so called Taguchi sensors, and a carbon dioxide monitor based on IR absorption. Samples of shrimps, cod roe, ground beef and pork, stored in a refrigerator, were studied. Gas samples were led to the sensor array, and the resulting sensor signals were treated with pattern recognition software based on an artificial neural network. In addition, the classification of various types of cheeses was studied.
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