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首页> 外文期刊>Journal of Alloys and Compounds: An Interdisciplinary Journal of Materials Science and Solid-state Chemistry and Physics >Nanostructure evolution of zinc stannate: A suitable material for liquefied petroleum gas detection
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Nanostructure evolution of zinc stannate: A suitable material for liquefied petroleum gas detection

机译:锌锡汀纳米结构演变:液化石油气检测的合适材料

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We successfully synthesized a semiconducting zinc stannate (Zn2SnO4)-with a face-centred cubic spinel structure, a band gap (Eg = 3.4eV), and a crystallite size of 29 nm-by co-precipitation. Post-thermal treatment revealed three transition temperatures: 500 degrees C, 700 degrees C and 1000 degrees C. We systematically monitored the formation of different nanostructures by changing the annealing temperature through diverse characterization techniques such as thermogravimetric and differential thermal analysis (TGA, DTA), X-ray powder diffraction (XRD), ultraviolet visible and Raman spectroscopies, field-emission scanning electron microscopy (FESEM) and Energy Dispersive X-ray Spectroscopy (EDS). Our characterization data demonstrate a novel and facile way to synthesize fine quality zinc stannate (Zn(2)ShO(4)) nanoparticles with the specific surface area of 17 (m(2)g(-1)). The achieved features make the sample a potential candidate for the fabrication of a gas detection sensor. After exposing the gas sensing characteristics of the resulting Zn2SnO4 nanoparticles to several gases, we found out that it demonstrates outstanding sensitivity, response and recovery time, and selectivity towards liquefied petroleum gas (LPG).(C) 2017 Elsevier B.V. All rights reserved.
机译:我们成功地合成了半导体锌静脉(Zn2SnO4) - 以面为中心的立方尖晶石结构,带隙(例如= 3.4EV)和逐沉淀的结晶尺寸为29nm。后热处理显示三个过渡温度:500摄氏度,700℃和1000摄氏度。通过改变通过不同的表征技术(如热重分析和差分热分析(TGA,DTA)而改变退火温度,我们通过改变退火温度来系统地监测不同纳米结构的形成,X射线粉衍射(XRD),紫外线可见和拉曼光谱,现场 - 发射扫描电子显微镜(FESEM)和能量分散X射线光谱(EDS)。我们的表征数据表明了一种新颖的和容易方式来合成具有17(M(2)G(-1))的比表面积为17(m(2)g))的细型锌静脉(Zn(2)Sho(4))纳米颗粒。所达到的特征使得样品制造用于制造气体检测传感器的潜在候选者。在将所得Zn2SNO4纳米颗粒的气体感测特性暴露于几种气体之后,我们发现它表明它表明了出色的敏感性,响应和恢复时间,以及对液化石油气(LPG)的选择性。(c)2017年Elsevier B.v.保留所有权利。

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