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中国物理学会期刊

基于SnS2/In2O3的气体传感器及其室温下高性能NO2检测

CSTR: 32037.14.aps.73.20231554

SnS2/In2O3 based gas sensors and its high performance of detecting NO2 at room temperature

CSTR: 32037.14.aps.73.20231554
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  • NO2是一种有毒气体, 能与空气中的其他有机化合物发生反应, 造成空气污染并对人体有很大的危害. 因此, 需要一种气体传感器来检测NO2. 然而, 传统的NO2传感器很难在室温(25 ℃)下工作. 本研究报告了SnS2/In2O3的室温(25 ℃) NO2气体传感, 采用热注入法和水热法制备了In2O3量子点和SnS2纳米片. 凭借SnS2独特的二维结构, 在其上装饰In2O3, 复合增强了其传感性能, 产品采用X射线衍射(XRD)、扫描电子显微镜(SEM)、高分辨率透射电子显微镜(HR-TEM)和X射线光电子能谱仪(XPS)进行表征. 结果表明, SnS2/In2O3传感器对体积分数为1×10–6 NO2的响应为26.6, 响应和恢复时间分别为146 s和243 s. 由于异质结结构增加了活性位点的数量, 加速了气体的传输, 促进了电荷转移和气体解吸, 提高了NO2气体传感性能. 这种优异的传感性能在NO2检测中具有广阔的应用前景.

     

    NO2 is a toxic gas that can react with other organic compounds in the air, causing air pollution and posing a significant harm to human health. Therefore, a gas sensor that can detect NO2 is needed. However, conventional NO2 gas sensors are difficult to operate at room temperature (25 ℃). In this work, NO2 gas sensing based on SnS2/In2O3, which can operate at room temperature (25 ℃), is reported. In2O3 quantum dots and SnS2 nanosheets are prepared by the hot-injection method and hydrothermal method. By using the unique two-dimensional structure of SnS2, In2O3 is decorated on it, and the composite enhances its sensing performance. The products are characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HR-TEM), and X-ray photoelectron spectroscopy (XPS). The results demonstrate that the composites prepared by 52% In2O3 exhibit the best sensing response. The fabricated sensor shows a response range from 26.6 to NO2 of 1×10–6 in volume fraction, fast response and short recovery time at room temperature (25 ℃). Moreover, this sensor demonstrates excellent reproducibility and selectivity. The heterojunction structure increases the number of active sites and accelerates the gas transport, which promotes charge transfer and gas desorption to improve NO2 gas sensing performance. This excellent sensing performance has a great application prospect in NO2 detection.

     

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