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A novel method in the gas identification by using WO_3 gas sensor based on the temperature-programmed technique

机译:基于温度编程技术的WO_3气体传感器进行气体识别的新方法

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摘要

Selectivity has been considered as one of the most significant performances to evaluate the practical application of the metal oxide semiconductor (MOS) gas sensor. Temperature modulation is now a commonly recognized method in enhancing the sensor selectivity as it can reflect more feature reaction information. In this paper, a novel method in the gas identification by using WO_3 gas sensor based on the temperature-programmed modulation is reported. This method allows us to be capable of dynamically obtaining the temperature-dependent electrical conductivity (TEC) spectra in different atmospheres. In terms of the TEC of the WO_3, a rigorous method for extracting the feature parameters is presented here, which are associated with the gas adsorption/desorption and defect reaction mechanisms, from the differential curve d{[InσT~(3/2)]}/dT- T. According to the feature parameters, we can clearly figure out the gas species that cannot be accomplished by the conventional methods. The temperature-programmed modulation thus provides a fundamental method for accurately identifying the gas species and is expected aid in opening up a new way to investigate the selectivity of the MOS gas sensors.
机译:选择性已被视为评估金属氧化物半导体(MOS)气体传感器实际应用的最重要性能之一。温度调制现在是提高传感器选择性的公认方法,因为它可以反映更多的特征反应信息。本文报道了一种基于温度编程调制的WO_3气体传感器进行气体识别的新方法。这种方法使我们能够动态获得不同大气中与温度相关的电导率(TEC)光谱。根据WO_3的TEC,提出了一种从微分曲线d {[InσT〜(3/2)]提取与气体吸附/解吸和缺陷反应机理相关的特征参数的严格方法。 } / dT-T。根据特征参数,我们可以清楚地找出常规方法无法实现的气体种类。因此,温度编程的调制提供了一种准确识别气体种类的基本方法,并且有望有助于开辟一种新的方法来研究MOS气体传感器的选择性。

著录项

  • 来源
    《Sensors and Actuators》 |2015年第1期|220-229|共10页
  • 作者

    Guozhu Zhang; Changsheng Xie;

  • 作者单位

    State Key Laboratory of Materials Processing and Die & Mould Technology, Nanomaterials and Smart Sensors Research Laboratory (NSSRL), Department of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China;

    State Key Laboratory of Materials Processing and Die & Mould Technology, Nanomaterials and Smart Sensors Research Laboratory (NSSRL), Department of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    MOS gas sensor; Selectivity; Temperature-programmed technique; Temperature-dependent electrical; conductivity (TEC); Metal cation defect;

    机译:MOS气体传感器;选择性;温度编程技术;与温度有关的电气;电导率(TEC);金属阳离子缺陷;

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