Self-assembly fabrication of 3D flower-like ZnO hierarchical nanostructures and their gas sensing properties

Self-assembly fabrication of 3D flower-like ZnO hierarchical nanostructures and their gas sensing properties
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DOI:
10.1039/c1ce06163a
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发表时间:
2012-02
期刊:
影响因子:
3.1
通讯作者:
Haijiao Zhang;Ruofei Wu;Zhiwen Chen;Gang Liu;Zongnan Zhang;Z. Jiao
Haijiao Zhang;Ruofei Wu;Zhiwen Chen;Gang Liu;Zongnan Zhang;Z. Jiao
中科院分区:
化学3区
文献类型:
--
作者:
Haijiao Zhang;Ruofei Wu;Zhiwen Chen;Gang Liu;Zongnan Zhang;Z. Jiao

文献摘要

被引文献

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以嵌段共聚物F127(EO 106-PO 70-EO 106)为形貌导向剂,采用尿素水热法合成三维碱式碳酸锌前驱体,通过热分解制备出三维花状ZnO分级纳米结构。采用XRD、IR、UV-vis、SEM、TEM、TG和N2吸附-脱附等手段对产物进行了表征。系统研究了反应时间、锌源种类、物种浓度等合成参数对产物形貌的影响。结果表明,反应时间对多孔ZnO的形貌有重要影响。在实验结果的基础上,对三维花状ZnO分级纳米结构的可能形成机理进行了讨论。更重要的是,气敏测试表明,由多孔ZnO分级纳米结构制成的传感器表现出更好的气敏性能的正丁醇相比,基于商业ZnO纳米粒子的传感器。气敏性能的增强归因于其独特的3D分级纳米结构,高表面积和更多的表面活性位点。
In this paper, three-dimensional flower-like ZnO hierarchical nanostructures were fabricated from the thermal-decomposition of 3D zinc hydroxide carbonate precursor, which was synthesized by a urea hydrothermal method with block copolymer F127 (EO106-PO70-EO106) as the morphology director. XRD, IR, UV-vis, SEM, TEM, TG and N2 adsorption–desorption isotherms have been employed to characterize the products. The influences of synthesis parameters such as reaction time, the type of zinc sources, and species concentration on the morphologies of the products were systematically studied. It was found that the reaction time played a key role in determining the final morphology of porous ZnO. On the basis of experimental results, a possible formation mechanism of the 3D flower-like ZnO hierarchical nanostructures was discussed. More importantly, the gas sensing tests indicated that the sensor made from porous ZnO hierarchical nanostructures exhibited better gas sensing properties to n-butanol compared with the sensor based on the commercial ZnO nanoparticles. The enhancement in gas sensing properties was attributed to their unique 3D hierarchical nanostructures, high surface areas, and greater number of surface active sites.