Application of Mathematical Model of Artificial Neural Network in PbO-doped SnO2 Sensor for Detection of Methanol, CO and NO2

Abstract: In the present work thick film SnO2 sensor was fabricated on a 1˝x1˝ alumina substrate. It consists of a gas sensitive layer (SnO2) doped with PbO, a pair of electrodes underneath the gas sensing layer serving as a contact pad for sensor. Also a heater element on the backside of the substrate was printed. The sensitivity of sensor has been studied at different temperatures (1500C-3500C) upon exposure to methanol, CO and NO2 vapour and gas and found maximum at 3500C for Methanol. The structural analysis of the film was carried out by X-ray diffraction (XRD) pattern.

Keywords: Gas sensor, nanosized, PbO, SnO2, thick film.