Méthode d'analyse sélective et quantitative d'un mélange gazeux à partir d'un microcapteur à oxyde métallique nanoparticulaire

Abstract : This work has been developed in the frame of Nanosensoflex European project, in the LAAS-CNRS laboratory at Toulouse. The aim of this project was to improve gas sensor technology and to optimize SnO2 sensing layer selectivity thanks to a new operating mode associated to a new technique of response treatment. In this context, this doctoral dissertation is focused on the last point: we have experimentally demonstrated that the shape of transient response curves of these sensors, using short temperature variations is affected by the surrounding atmosphere with a good reproducibility. Also, we have defined a temperature profile dedicated to CO detection in a mixture of NO2 and propane. This profile, with a total duration of 12s, includes 6 temperature steps and do not exceed a maximum temperature of 500°C. By consideration of shapes and time constants of the normalized response curves, associated to a Linear Discriminant Analysis, we managed to discriminate each gas mixture and then to quantify CO-concentration from 1 to 200 ppm, independently of relative humidity rate.
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https://tel.archives-ouvertes.fr/tel-00012018
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Submitted on : Thursday, March 23, 2006 - 11:54:39 AM
Last modification on : Friday, January 10, 2020 - 9:08:09 PM
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  • HAL Id : tel-00012018, version 1

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Frédéric Parret. Méthode d'analyse sélective et quantitative d'un mélange gazeux à partir d'un microcapteur à oxyde métallique nanoparticulaire. Micro et nanotechnologies/Microélectronique. Institut National Polytechnique de Toulouse - INPT, 2006. Français. ⟨tel-00012018⟩

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