Optimised dynamic temperature operating mode specifically dedicated to micromachined SnO2 gas sensors

Frédéric Parret 1 Philippe Menini 2 A. Martinez 1 K. Soulantika 3 A. Maisonnat 3 Bruno Chaudret 3
1 LAAS - Laboratoire d'analyse et d'architecture des systèmes
2 LAAS-MICA - Équipe MICrosystèmes d'Analyse
LAAS - Laboratoire d'analyse et d'architecture des systèmes
3 LCC - Laboratoire de chimie de coordination
Abstract : In this paper, we show the influence of short temperature variations on the transient response of a SnO2 nanoparticular gas sensor. By consideration of the shape and time constants of the normalized response curves, we can differentiate different gasses mixtures at a ppm level. This new method of analysis is promising to conceive a gas detector based on combination of temperature profiles and different sensitive layers.
Keywords : Temperature cycling Discriminant variables Micromachined gas sensor
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Conference papers
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https://hal.laas.fr/hal-02099906
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Submitted on : Monday, April 15, 2019 - 1:45:44 PM
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  • HAL Id : hal-02099906, version 1

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LAAS | CNRS | INC-CNRS | INSA-TOULOUSE | LAAS-MICA | LAAS-MICRO-NANO-BIO-TECHNOLOGIES | INSA-GROUPE | UNIV-TLSE3 | UT1-CAPITOLE | UNIV-TLSE2 | IRD

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Frédéric Parret, Philippe Menini, A. Martinez, K. Soulantika, A. Maisonnat, et al.. Optimised dynamic temperature operating mode specifically dedicated to micromachined SnO2 gas sensors. 19th European Conference on Solid-State Transducers (EUROSENSORS XIX), Sep 2005, Barcelona, Spain. ⟨hal-02099906⟩

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