Abstract:
In the recent past aroma detection has become a significant component in industrial instrumentation and automation field. Electronic noses are developed using a gas sensor array to detect the aroma compounds. These devices are working with the help of pattern recognition software and algorithms. This study describes the design and development of the portable electronic nose device for the detection of the aroma compounds, experimental testing and a mathematical model for the identification of the chemical compounds. The chemical compounds tested are ethanol, acetone and water. The response of sensors raw values were recorded, baseline corrected and averaged. The principal component analysis for these sensor responses are 99.95% of information given with two principal components in the dimensionality reduction. Furthermore, this E-Nose can detect and discriminate among the given substances with 100% accuracy using the 3Nearest Neighbors classification technique.
