Implementation and evaluation of an electronic nose for the alcohols detection

An electronic nose for the detection of alcohols, easy to use and inexpensive as compared to traditional electronic noses, was developed. This nose is based on four SnO2 gas sensors (two commercial and two homemade), an irregular pneumatic system, hardware and a software for data acquisition and a software for pattern recognition. The nose behavior and the working conditions with vapor samples of alcohols (methanol, ethanol, n-butanol and 1-octanol) were evaluated. Alcohols could be detected with the array of prepared sensors and could be also differentiated from each other by using principal component analysis (PCA). The detection order for linear alcohols followed the order: methanol > ethanol > n-butanol > 1- octanol. It was also found that by using PCA and performing a standardization of data in software pattern recognition so, the total variance of such information increases from 76% up to 85%. This result confirms that a simple and inexpensive nose can rank well the tested samples.