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Dense doping of indium to coral-like SnO_2 nanostructures through a plasma-assisted strategy for sensitive and selective detection of chlorobenzene

机译:通过等离子辅助策略敏感和选择性地检测氯苯将铟密集掺杂到珊瑚状SnO_2纳米结构中

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A plasma-assisted strategy for densely doping indium to SnO_2 nanostructures for gas-sensing applications is reported. The morphology, structure, and composition of the as-prepared nanostructures were characterized by field emission scanning electronic microscopy (FESEM), transmission electron microscopy (TEM), x-ray diffraction (XRD), and x-ray photoelectron spectrometry (XPS), respectively. The results show that the densities of hydroxyl and carboxyl groups of the coral-like SnO_2/carbonaceous nanocomposites are remarkably improved by using a plasma treatment (PT), which enables them to adsorb a large quantity of indium ions and thereby enhance the doping. In gas-sensing measurements, it is found that the sensor is sensitive to chlorobenzene with a high response and short response and recovery times. Besides, the gas-sensing properties of the sensor based on the In-doped SnO _2 with PT are greatly improved compared with sensors based on In-doped SnO_2 without PT and pure SnO_2. The enhanced doping and the special coral-like structure are demonstrated as the mechanism of improvement. The kinetic processes of gas adsorption and desorption are also investigated. Furthermore, it is revealed that chlorobenzene can be clearly identified from some gas references by using principal component analysis, exhibiting a good selectivity. Our findings not only provide a promising building block for developing a sensitive and selective gas sensor for environmental monitoring, but also demonstrate a novel plasma-assisted strategy which could be potentially developed as a general method for dense doping of nanomaterials
机译:报道了一种等离子体辅助策略,将铟致密地掺杂到SnO_2纳米结构中,用于气体传感应用。通过场发射扫描电子显微镜(FESEM),透射电子显微镜(TEM),X射线衍射(XRD)和X射线光电子能谱(XPS)表征制备的纳米结构的形态,结构和组成,分别。结果表明,通过等离子体处理(PT)可显着提高珊瑚状SnO_2 /含碳纳米复合材料的羟基和羧基密度,从而使其吸附大量的铟离子,从而增强掺杂。在气体传感测量中,发现该传感器对氯苯敏感,响应速度快,响应和恢复时间短。此外,与不带PT和纯SnO_2的In掺杂SnO_2相比,基于PT的In掺杂SnO_2的传感器的气敏性能大大提高。增强的掺杂和特殊的珊瑚状结构被证明是改善的机制。还研究了气体吸附和解吸的动力学过程。此外,揭示了通过使用主成分分析可以从一些参考气体中清楚地识别出氯苯,表现出良好的选择性。我们的发现不仅为开发用于环境监测的灵敏和选择性气体传感器提供了有希望的基础,而且还展示了一种新型的等离子体辅助策略,该策略有可能被开发为密集掺杂纳米材料的通用方法。

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