Smart Metal Oxide Gas Sensors with Catalytic and Artificial Intelligence–Driven Selectivity
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This review summarizes recent progress in metal oxide-based gas sensors, focusing on material design, catalytic engineering,and real-time sensing strategies. Advances in nanostructured materials, heterojunctions, and noble metal catalysts have significantlyimproved sensor sensitivity, selectivity, and stability. Techniques such as Schottky barrier modulation, spill-over effects, andinterfacial charge transfer are key to enhancing gas response. Additionally, integrating sensor arrays with artificial intelligence (AI)-based analysis, including Edge AI and convolutional neural networks, enables accurate, low-power, and real-time gas detection. These combined strategies pave the way for next-generation gas sensors suitable for diverse applications in environmental monitoring,safety, and healthcare.
Abstract
This review summarizes recent progress in metal oxide-based gas sensors, focusing on material design, catalytic engineering,and real-time sensing strategies. Advances in nanostructured materials, heterojunctions, and noble metal catalysts have significantlyimproved sensor sensitivity, selectivity, and stability. Techniques such as Schottky barrier modulation, spill-over effects, andinterfacial charge transfer are key to enhancing gas response. Additionally, integrating sensor arrays with artificial intelligence (AI)-based analysis, including Edge AI and convolutional neural networks, enables accurate, low-power, and real-time gas detection. These combined strategies pave the way for next-generation gas sensors suitable for diverse applications in environmental monitoring,safety, and healthcare.