Impact of Negative Biased Current on Memristive Sensor Response to Chemical Exposure

The rapid advancement of emerging technologies necessitates next-generation gas sensor systems that are compact, energy-efficient, and highly sensitive. Among the most promising approaches, memristor-based gas sensors, or gasistors, have attracted significant attention due to their ultra-lightweight structure, fast recovery time, and efficient miniaturization. This paper provides a comprehensive review of gasistor technology, integrating both simulation models and experimental investigations. The simulation analysis focuses on memristor characteristics, offering insight into composite gas detection strategies, while experimental evaluations assess key performance metrics. In addition, advanced recovery methodologies, such as pulse and trigger-based techniques, are explored to improve sensor performance. The concluding discussion outlines future perspectives and challenges in memristor development, emphasizing their potential for integration into next-generation sensing platforms.