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Estimation of the limit of detection in semiconductor gas sensors through linearized calibration models

机译:通过线性化校准模型估计半导体气体传感器中的检测极限

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摘要

The limit of detection (LOD) is a key figure of merit in chemical sensing. However, the estimation of this figure of merit is hindered by the non-linear calibration curve characteristic of semiconductor gas sensor technologies such as, metal oxide (MOX), gasFETs or thermoelectric sensors. Additionally, chemical sensors suffer from cross-sensitivities and temporal stability problems. The application of the International Union of Pure and Applied Chemistry (IUPAC) recommendations for univariate LOD estimation in non-linear semiconductor gas sensors is not straightforward due to the strong statistical requirements of the IUPAC methodology (linearity, homoscedasticity, normality). Here, we propose a methodological approach to LOD estimation through linearized calibration models. As an example, the methodology is applied to the detection of low concentrations of carbon monoxide using MOX gas sensors in a scenario where the main source of error is the presence of uncontrolled levels of humidity. (C) 2018 Elsevier B.V. All rights reserved.
机译:检测限(LOD)是化学感测的主要优点。然而,通过诸如金属氧化物(MOX),垃圾或热电传感器的半导体气体传感器技术的非线性校准曲线特性阻碍了该优异图的估计。另外,化学传感器患有交叉敏感性和时间稳定性问题。由于IUPAC方法(线性,同性恋,正常性)的强大统计要求,国际纯和应用化学联盟(IUPAC)建议在非线性半导体气体传感器中的单变性LOD估计的建议并不简单。在这里,我们提出了一种通过线性化校准模型来估计的方法论方法。作为一个例子,该方法应用于在主要误差源的场景中使用MOX气体传感器检测低浓度的一氧化碳,其中误差源的存在湿度的存在。 (c)2018 Elsevier B.v.保留所有权利。

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