An application of advanced data processing methods to response analysis of electrocatalytic gas sensor

Abstract

Electrocatalytic sensors belong to a relatively new group of solid state electrochemical gas sensors. Its working principle is based on electric current acquisition, while voltage ramp is applied to the sensor. The current-voltage plot has unique shape, which depends on surrounding gas type and its concentration. Response of the electrocatalytic gas sensor contains significantly more information in comparison with typical amperometric or potentiometric one. Methods of sensors response analysis, which was employed so far, did not fully utilize this feature. Moreover, shape of sensor response, in case of some gases or mixtures, is hard to be interpreted with traditional techniques. In this work more advanced methods to analyze electrocatalytic gas sensor response, which are based on explorative and confirmative techniques as well as artificial neural network, are presented.