首页|Gas sensors based on metal-organic frameworks:Challenges and opportunities

Gas sensors based on metal-organic frameworks:Challenges and opportunities

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The need for high-performance and cost-effective gas sensors in industrial and domestic settings has led to ad-vancements in gas sensors based on metal-organic frameworks(MOFs).However,challenges remain in the design and synthesis of MOFs with customized structure and affinity toward targeted gases and their integration onto miniaturized electronic devices.The deliberate design of MOFs with desired characteristics is hindered by limited understanding of the interactions between MOFs and analytes.Furthermore,there is a lack of customization of relevant MOF-based sensors with salient sensing performance and their integration into sensor arrays to align with different application scenarios.The combination of machine learning or artificial intelligence(AI)with gas sensors also represents a promising avenue for future research.Herein,we provide a mini-review of recent ac-complishments in MOF-based gas sensors,covering materials design and device integration.The challenges of miniaturization and building smart sensing systems with anomaly detection,self-calibration,and lifetime pre-diction are also discussed.

MOFsGas sensorsIntegration approachSensing performance

Xiaoyan Peng、Xuanhao Wu、Fan Yang、Yefei Tian、Mingming Zhang、Hongye Yuan

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State Key Laboratory for Mechanical Behavior of Materials,Shaanxi International Research Center for Soft Matter,School of Materials Science and Engineering,Xi'an Jiaotong University,Xi'an,710049,PR China

School of Materials Science and Engineering,Changan University,No.75 Changan,Middle Road,Xi'an,710064,PR China

国家自然科学基金Natural Science Foundation of ShannxiSpecial Fund for Basic Scientific Research of Central College of Chang'an UniversityHigh-Level Overseas Talent Returning to Chinasupport from Xi'an Jiaotong University within the framework of the"Young Talent Support Plan"

222012262022JQ-469300102313110

2024

10.1016/j.cjsc.2024.100251

结构化学
中国化学会 中国科学院福建物质结构研究所

结构化学

影响因子：0.44
ISSN：0254-5861
年,卷(期)：2024.43(3)
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