Modelling of gas transport in porous zeolite-modified discriminating gas sensors.
Doctoral thesis, UCL (University College London).
The ability to distinguish effectively between a range of gases in a reliable, repeatable manner is of major interest with both scientific and commercial relevance. Semiconducting metal oxide gas sensors have a long life-span, are inexpensive and are highly sensitive; however, they are generally found to lack a desired level of selectivity. One highly viable approach for enhancing the selective power of such devices is the addition of a transformation layer. This will typically be a micro- or meso-porous, solid which will act to transform the analyte gas stream by some means. Here the use of zeolite compounds for this purpose is investigated. Different theoretical models are used to probe the dependency of the response of a porous metal oxide sensor on the transport properties of gas through the device, including through an additional zeolite layer. Through the use of a force-field based method, shape and size selective adsorption is predicted and used to justify experimental results of zeolite modified sensors, for example, the reduction of response to linear hydrocarbons as the chain-length is increased. However, the limit of such calculations is also realised such that this approach is unlikely to provide an adequate predictive tool for selecting a suitable zeolite for a particular gas sensing task. Following this, a model based on the method of diffusion eigenstates has been developed to calculate bulk effective diffusivities and rate constants for porous systems representing both the sensor and zeolite porous layers. The effective properties are found to depend strongly on the microstructure, the partitioning between phases and diffusion coefficients of the different phases. The effective parameters are then interpreted in terms of sensor response by solving the one-dimensional diffusionreaction equation for a simple two-layered macroscopic geometry. The method of finite differences is used to find the concentration profile which generates a response on interaction with an electric field established between two electrodes. The concentration profile and hence the response depends on the balance of diffusion and reaction of the analyte gas within both the sensor and zeolite layers. It is shown how the response can be explored to expose such differences by firstly looking at both the steady state response and response time and also by varying the positioning of the electrodes used to measure the response. Good correlation with experimental response data is demonstrated, supporting the importance of the diffusion-reaction properties modelled to the sensing mechanism, and the potential of developing a predictive tool based on the models presented is discussed.
|Title:||Modelling of gas transport in porous zeolite-modified discriminating gas sensors|
|Open access status:||An open access version is available from UCL Discovery|
|UCL classification:||UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Chemistry|
Archive Staff Only