Smart Metal Oxide Gas Sensors with Catalytic and Artificial Intelligence–Driven Selectivity
  • Kim, Sang Heon
  • Kim, Yonggi
  • Choi, Han Sol
  • Joon Kim, Jae
  • Baik, Jeong Min
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초록

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, hetero junctions, and noble metal catalysts have significantly improved sensor sensitivity, selectivity, and stability. Techniques such as Schottky barrier modulation, spill-over effects, and interfacial 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. © The Korean Sensors Society.

키워드

Catalytic engineeringEdge artificial intelligenceMetal oxide gas sensorsRealt imeg as detectionSelectivity enhancement
제목
Smart Metal Oxide Gas Sensors with Catalytic and Artificial Intelligence–Driven Selectivity
저자
Kim, Sang HeonKim, YonggiChoi, Han SolJoon Kim, JaeBaik, Jeong Min
DOI
10.46670/JSST.2025.34.3.208
발행일
2025-05
유형
Review
저널명
센서학회지
34
3
페이지
208 ~ 223