Simulation performance of inkjet-printed polyaniline–graphene oxide nanocomposite based gas sensor

Abstract

Detecting dangerous gases is crucial for protecting human and environmental health. Industrial waste gases like CO, NO2, H2S, and NH3 have long been a concern for investigators. Gas sensors, particularly chemi-resistive sensors, are widely used in industries to detect leaks and manage gas concentrations. Traditional gas sensors have utilized semiconducting oxides such as SnO2, ZnO, Fe2O3, and In2O3. However, conducting polymers, like polyaniline, have emerged as ideal materials for gas sensors due to their ability to operate at room temperature. This paper investigates the simulation performance of gas sensors based on a polyaniline-graphene oxide (PANI/GO) nanocomposite, fabricated using inkjet printing. The study analyzes various factors that affect sensor performance, including responsivity, sensitivity, gas concentration, response time, and recovery time, using Atomistix ToolKit. The results show that the PANI/GO nanocomposite-based gas sensor outperforms existing nanomaterial-based sensors, demonstrating its potential as an effective candidate for detecting dangerous gases. To improve the behavior of the gas sensor, the chemicals are first synthesized, and then the composite is printed using inkjet technology. The simulation using Atomistix ToolKit allows for a comprehensive analysis of the sensor's performance, considering factors like responsivity, sensitivity, gas concentration, response time, and recovery time. Compared to existing nanomaterial-based sensors, the proposed gas sensor proves to be effective.