Computational Model Of Plasma-Organic-Polymer-Film-Coated QCR Sensor For Analysing Its Dynamic Response

This paper proposes a computational model of the mass-sensitive chemical sensor with plasma-organic-polymer-film-coated quartz crystal resonators for use in sensor signal processing to develop a high-performance electronic nose system. Assuming one-dimensional Fickian diffusion of sample gas molecules, diffusion equation is applied to sample gas molecules in the sensor film bulk to describe the responses of the chemical sensor to the sample gas. Green’s function is introduced to solve the diffusion equation, and the computational model of the chemical sensor response is derived. A computational experiment of the chemical sensor response is conducted to compare the sensor responses calculated by the proposed model with the experimental results obtained by the gas sensing system using water vapour as sample gas. The result shows the feasibility of the proposed model to estimate the responses of the chemical sensor.