Abstract

Transmission line modelling (TLM) techniques were used to study the sensitivity behaviour to CO and propene in distinct regions of tin oxide thick film gas sensors operated in isothermal and thermo-cyclic mode. The sensitive layer showed an increased sensitivity to propene in the vicinity of the Pt electrodes at isothermal operation and pronounced specific features at thermo-cyclic operation. Simulation by Finite Element Analysis (FAE) gives insight into the electrical behaviour of the contact area and enables a detailed analysis of the thickness dependence of sensitivity effects.

Highlights

  • One of the great challenges in metal oxide gas sensor research is the spatially resolved estimation of sensitivity effects in dependence of the combination of electrode and gas sensing material

  • A metal oxide gas sensor needs to be considered as anchemical reactor, whose gas response, the change in resistivity, is composed of contributions from different regions of the sensor element

  • By Transmission Line Modelling (TLM) [1], it is possible to distinguish between these contributions to the overall resistance and the corresponding sensitivity effects in the bulk material of the sensitive layer (

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Summary

Introduction

One of the great challenges in metal oxide gas sensor research is the spatially resolved estimation of sensitivity effects in dependence of the combination of electrode and gas sensing material. A metal oxide gas sensor needs to be considered as an (electro-)chemical reactor, whose gas response, the change in resistivity, is composed of contributions from different regions of the sensor element. ). as shown in previous works, thermo-cyclic operation of metal oxide gas sensors yields gas specific conductance over time profiles (CTP) which can be used for gas identification and analysis [2]. As shown in previous works, thermo-cyclic operation of metal oxide gas sensors yields gas specific conductance over time profiles (CTP) which can be used for gas identification and analysis [2] By combining both techniques a detailed analysis of the regional contributions to the sensor responses dependent on temperature rate, layer thickness and electrode material can be achieved

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