Memristor based gas sensor: sensitivity and timing analysis

Sensors play a critical role in intelligent monitoring systems, particularly in detecting hazardous gas leaks. Accurate detection timing is essential for identifying the causes of accidents and ensuring the safety of appliances. However, conventional gas sensors typically lack onboard data storage and depend on external memory systems. To overcome this limitation, memristor-based gas sensors have gained attention. These advanced devices integrate sensing and memory functions into a single platform, operating as gas-triggered switches with inherent memory capability. This integration reduces overall system complexity and enables real-time data logging directly at the sensor level. In this article, we investigate the use of a memristor device as a gas-sensing element through simulation, demonstrating its ability to detect various gases and their concentrations. We further analyze the sensor's sensitivity and response timing in relation to different gas types and concentration levels. Additionally, we examine the sensing and recovery mechanisms of the memristor-based sensor to understand its performance across different gas environments.