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Modelling of adsorption-desorption noise in gas sensors using Langmuir and Wolkenstein models for adsorption

机译:使用Langmuir和Wolkenstein模型进行吸附的气体传感器中吸附-解吸噪声的建模

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A comparison between adsorption-desorption (A-D) noise models obtained using Langmuir and Wolkenstein theories is presented. This noise is generated by instantaneous fluctuations in the number of the adsorbed molecules, which cause free electron's density fluctuations in the sensing layer, and consequently a fluctuation in the conductance of the gas sensor. The numerical results show that the A-D noise spectrum obtained using the Wolkentein adsorption theory has a low frequency magnitude, which is greater than that of the spectrum obtained using the Langmuir theory. The presented models show that the power density spectrum of the fluctuation of the sensor's conductance has a cut off frequency and low frequency magnitude, which are specifics of the adsorbed gas. This result confirms that conductance (or resistance) noise spectroscopy could be a useful tool for extracting information on the nature of the detected gas.
机译:提出了使用朗缪尔(Langmuir)理论和沃尔肯斯坦(Wolkenstein)理论获得的吸附-解吸(A-D)噪声模型的比较。该噪声是由于吸附分子数量的瞬时波动而产生的,该波动会导致传感层中自由电子的密度波动,进而导致气体传感器的电导率波动。数值结果表明,使用沃肯汀吸附理论获得的A-D噪声频谱具有较低的频率幅度,大于使用Langmuir理论获得的频谱。提出的模型表明,传感器电导率波动的功率密度谱具有截止频率和低频幅度,这是吸附气体的特征。该结果证实,电导(或电阻)噪声光谱法可能是提取有关检测到的气体性质的信息的有用工具。

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