Development of the Expert System for Recognizing Mixed Malodorous Samples Using Plural Semiconductor Gas Sensors Apparatus and Application into Environmental Education

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In order to recognize mixed gas samples of malodorous substances, we have studied the measurement of sensor reply data and the data treatment by using an automated odor sensing system. we have used a pattern recognition method (potential function method) and a principal component analysis method as the data treatment. There was the result that the single gas sample and the two-component mixed sample were examined discrimination about malodorous substances with a good recognition. It was found that the data treatment is facilitated by using a computer and the automated odor sensing system can be of practical use as a recognition method for mixed malodorous gas samples.