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三维SnO纳米结构的分级形态依赖气敏性能

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

作者信息

Li Yi-Xiang, Guo Zheng, Su Yao, Jin Xiao-Bo, Tang Xiang-Hu, Huang Jia-Rui, Huang Xing-Jiu, Li Min-Qiang, Liu Jin-Huai

机构信息

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.

出版信息

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

DOI:10.1021/acssensors.6b00597
PMID:28722446
Abstract

Hierarchical morphology-dependent gas-sensing performances have been demonstrated for three-dimensional SnO nanostructures. First, hierarchical SnO 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 SnO 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.

摘要

已证明三维SnO纳米结构具有分级形态依赖的气敏性能。首先,通过简便的一步水热法合成了由超薄梭形纳米片组装而成的分级SnO纳米结构。由于分级纳米片的热不稳定性,在热处理下它们逐渐收缩成锥形纳米结构,最终演变成棒状结构。鉴于三维分级纳米结构的固有优势,进一步探索了它们的气敏性能。结果表明,它们的传感行为与其分级形态密切相关。例如,在实现的分级形态中,三维锥形分级SnO纳米结构对100 ppm丙酮的相对响应高达约175,显示出最高的响应。此外,它们对其他典型挥发性有机化合物(VOCs)也表现出良好的传感响应。微观结构分析表明,这些结果主要归因于锥形分级纳米结构在热重结晶过程中形成了更多活性表面缺陷和失配。很有希望的是,这种表面工程策略可以扩展到制备其他具有良好气敏性能的三维金属氧化物分级纳米结构。

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