[1]张永辉,刘春彦,刘焕桢,等.盆景状ZnO的制备及气敏性能研究[J].郑州大学学报(工学版),2016,37(05):23-26,32.[doi:10.13705/j.issn.1671-6833.2016.05.005]
　Zhang Yonghui,Liu Chunyan,Liu Huanzhen,et al.Synthesis of Bonsai-like ZnO and Its Gas Sensing Properties[J].Journal of Zhengzhou University (Engineering Science),2016,37(05):23-26,32.[doi:10.13705/j.issn.1671-6833.2016.05.005]
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盆景状ZnO的制备及气敏性能研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
37卷
期数:
2016年05期
页码:
23-26,32
栏目:
出版日期:
2016-11-25

文章信息/Info

Title:
Synthesis of Bonsai-like ZnO and Its Gas Sensing Properties
作者:
张永辉; 刘春彦; 刘焕桢; 巩飞龙; 李峰
郑州轻工业学院,河南省表界面科学重点实验室,河南郑州450001
Author(s):
Zhang Yonghui;  Liu Chunyan;  Liu Huanzhen;  Gong Feilong;  Li Feng
Zhengzhou Institute of Light Industry, Henan Provincial Key Laboratory of Surface and Interface Science, Zhengzhou 450001 
关键词:
Keywords:
DOI:
10.13705/j.issn.1671-6833.2016.05.005
文献标志码:
A
摘要:
通过水热法首次制备出盆景状三维材料,XRD和热分析测试结果表明制备的材料由碱式碳酸锌(Zn4CO3 (OH)6·H2O)和ZnO组成,产物经过高温煅烧后得到结晶性良好且侧面和底部孔状结构的ZnO材料.利用FESEM对材料的形貌进行了系统的表征,发现盆景状ZnO由纳米片自组装对称生长而成,且每一层生长都会得到规则的六边形结构.将材料制备成气敏元件并研究其气敏性能.结果表明,构筑的气敏元件在340℃时对乙醇气体具有最高的灵敏度,同时具有良好的响应一恢复特性和稳定性.该材料可以应用于改善基于乙醇传感器的设计与制作.
Abstract:
The bonsai-shaped three-dimensional material was prepared for the first time by hydrothermal method. The XRD and thermal analysis test results showed that the prepared material was composed of basic zinc carbonate (Zn4CO3(OH)6·H2O) and ZnO, and the product was calcined at high temperature to obtain good crystallinity and ZnO material with hole-like structure on the side and bottom. The morphology of the material was systematically characterized by FESEM, and it was found that the bonsai-like ZnO was grown symmetrically by self-assembly of nanosheets, and each layer of growth would get a regular hexagonal structure .The material was prepared as a gas sensor and its gas-sensing performance was studied. The results showed that the constructed gas sensor had the highest sensitivity to ethanol gas at 340°C, and also had good response-recovery characteristics and stability. The material could Applied to improve the design and fabrication of ethanol-based sensors.
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