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ACS Sens. 2017 Jan 27;2(1):102-110. doi: 10.1021/acssensors.6b00597. Epub 2016 Dec 20.

Hierarchical Morphology-Dependent Gas-Sensing Performances of Three-Dimensional SnO2 Nanostructures.

Li YX1,2, Guo Z1,2, Su Y1,2, Jin XB1, Tang XH1, Huang JR3, Huang XJ1,2, Li MQ1,2, Liu JH1,2.

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Nanomaterials and Environmental Detection Laboratory, Institute of Intelligent Machines, Chinese Academy of Sciences , Hefei 230031, PR China.
Department of Chemistry, University of Science and Technology of China , Hefei 230026, PR China.
Department of Chemistry, Anhui Normal University , Wuhu 241000, PR China.


Hierarchical morphology-dependent gas-sensing performances have been demonstrated for three-dimensional SnO2 nanostructures. First, hierarchical SnO2 nanostructures assembled with ultrathin shuttle-shaped nanosheets have been synthesized via a facile and one-step hydrothermal approach. Due to thermal instability of hierarchical nanosheets, they are gradually shrunk into cone-shaped nanostructures and finally deduced into rod-shaped ones under a thermal treatment. Given the intrinsic advantages of three-dimensional hierarchical nanostructures, their gas-sensing properties have been further explored. The results indicate that their sensing behaviors are greatly related with their hierarchical morphologies. Among the achieved hierarchical morphologies, three-dimensional cone-shaped hierarchical SnO2 nanostructures display the highest relative response up to about 175 toward 100 ppm of acetone as an example. Furthermore, they also exhibit good sensing responses toward other typical volatile organic compounds (VOCs). Microstructured analyses suggest that these results are mainly ascribed to the formation of more active surface defects and mismatches for the cone-shaped hierarchical nanostructures during the process of thermal recrystallization. Promisingly, this surface-engineering strategy can be extended to prepare other three-dimensional metal oxide hierarchical nanostructures with good gas-sensing performances.


SnO2; gas-sensing performance; hierarchical nanostructure; surface-engineering strategy; volatile organic compounds


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