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Low-dimensional Nanomaterials-based Smart Gas Sensors for Odor Identification

文献类型: 会议论文

第一作者: Shirong Huang

作者: Shirong Huang 1 ; Gianaurelio Cuniberti 1 ;

作者机构: 1.Institute for Materials Science and Max Bergmann Center for Biomaterials, TUD Dresden University of Technology, Dresden, Germany

关键词: Temperature sensors;Power demand;Sensitivity;Semiconductor materials;Nanomaterials;Public security;Reliability

会议名称: IEEE International Symposium on Olfaction and Electronic Nose

主办单位:

页码: 1-3

摘要: Gas sensors play a crucial role in ensuring public safety, monitoring air quality, and detecting trace gases in industrial settings. The demand for gas sensors with high sensitivity, selectivity, efficiency, reliability, low cost, and low power consumption is substantial. Despite numerous proposals utilizing traditional metal oxide semiconductor materials, challenges persist in achieving satisfactory power consumption and selectivity. Herein, we address these challenges by developing smart gas sensors based on low-dimensional nanomaterials working at room temperature. Unlike their traditional counterparts, our sensors demonstrate improved selectivity and lower power efficiency. Combined with highly efficient machine learning algorithms, the low-dimensional nanomaterials-based gas sensors exhibit exceptional performance in both individual gas and complex odor identification. Our strategy paves the path to creating highly sensitive, selective, portable, and energy-efficient smart gas sensors using low-dimensional nanomaterials, catering to the growing needs of odor identification in various emerging fields.

分类号: tp212-53

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