Pattern Recognition and Identification of Benzene, Chloroform and Carbon Tetrachloride by Using the Newly Developed Chemiresistor Sensors Array

The array of chemiresistors coupled with a preconcentrator unit was developed and its recognition capability for benzene, chloroform and carbon tetrachloride was investigated. Some potential polymers were chosen from numerous available polymers according to interaction parameters of polymers and vapors of interest. Principal component analysis (PCA) showed that three of seven polymers could have enough ability to recognize different gas classes. By using hierarchical cluster analysis (HCA) the tested polymers were categorized into three main groups with respect to their recognition ability. Precisely evaluation of obtained results from PCA and HCA showed that the array containing polymers of 75% pheny125% methylpolysiloxane (OV25), poly (epichlorohydrin) (PECH) and poly bis(cyanopropyl)- siloxane (SXCN) were the most proper design for recognition of analytes of interest. The fabricated EN was used successively for target vapors recognition in their different concentrations.