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A Noise Spectroscopy-Based Selective Gas Sensing with MOX Gas Sensors

机译:基于噪声谱的MOX气体传感器选择性气体传感

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摘要

We propose a new method for obtaining a fluctuation-enhanced sensing (FES) signature of a gas using a single metal oxide (MOX) gas micro sensor. Starting from our model of adsorption-desorption (A-D) noise previously developed, we show theoretically that the product of frequency by the power spectrum density (PSD) of the gas sensing layer resistance fluctuations often has a maximum which is characteristic of the gas. This property was experimentally confirmed in the case of the detection of NO2 and O-3 using a WO3 sensing layer. This method could be useful for classifying gases. Furthermore, our noise measurements confirm our previous model showing that PSD of the A-Dnoise in MOX gas sensor is a combination of Lorentzians having a low frequency magnitude and a cut-off frequency which depends on the nature of the detected gas.
机译:我们提出了一种使用单个金属氧化物(MOX)气体微传感器获得气体波动增强传感(FES)特征的新方法。从我们之前开发的吸附-脱附(A-D)噪声模型出发,从理论上表明,频率乘积由功率谱密度(PSD)引起的气体传感层电阻波动通常具有最大值,这是气体的特征。在使用 WO3 传感层检测 NO2 和 O-3 的情况下,实验证实了这一特性。这种方法可用于对气体进行分类。此外,我们的噪声测量证实了我们之前的模型,表明MOX气体传感器中A-Dnoise的PSD是洛伦兹的组合,具有低频幅度和截止频率,这取决于检测到的气体的性质。

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