Nanostructured SnO2 Microsphere-Based Gas Sensor Array Enhanced by Molecular Imprinting for Methanol and Ethanol Discriminative Detection
Weinan Song, Mingxue Zhang, Weiguang Zhao, Qinglu Zhao, Hongshun Hao, Hai Lin, Wenyuan Gao, Shuang Yan
Dalian Polytechnic University
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摘要与影响
A modification approach is developed based on the idea of molecular imprinting technique to enhance the selective gas sensing performance of nanostructured SnO 2 as gas sensors. The modification procedure, conducted on SnO 2 microspheres as the porous substrate, involves in situ polymerization and calcination processes. A methanol-templated molecularly imprinted sample (cM-SnO 2 MIP) was successfully synthesized via the modification procedure, which demonstrated great difference with its nonmodified counterpart (c-SnO 2 MSs) in terms of both surface morphology and internal architecture. Gas sensing performance, including target gas response, selectivity, and dynamic sensing behavior, was investigated to validate the effectiveness of the imprinted cavities for methanol within cM-SnO 2 MIPs. Compared to c-SnO 2 MSs, the cM-SnO 2 MIPs exhibited greatly enhanced methanol sensing selectivity and improved anti-interference ability by up to 2–10 times depending on the types of interference gases. Moreover, the predesigned target gas recognition capability of the molecularly imprinted sensors was proved by changing the template to ethanol and thus obtaining cE-SnO 2 MIPs with excellent ethanol sensing selectivity as well as improved anti-interference ability. By constructing a sensor array, the excellent sensing selectivity of these nanostructured SnO 2 microspheres was exploited to distinguish the chemically similar molecules, methanol and ethanol.
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工程Gas Sensing Nanomaterials and Sensors
Advanced Chemical Sensor Technologies · Analytical Chemistry and Sensors
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