Investigation of Rayleigh surface acoustic wave sensors for NO gas sensing applications

This paper presents the estimation of the interference of NH
₃
on the detection of NO by using neural network (NN) model. The NO Rayleigh surface acoustic wave (RSAW) sensor coated with polyaniline/WO
₃
(PANI/WO
₃
) nanocomposite was employed as the detection sensor. The data sensed by RSAW sensor was collected and implemented and the detection property of the RSAW sensor was studied at room temperature. A neural network RSAW identifier is expected to be created in order to estimate the interference of NH
₃
on the NO detection of the RSAW sensor.