4.7 Article

Grain shape influence on semiconducting metal oxide based gas sensor performance: modeling versus experiment

Journal

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 406, Issue 16, Pages 3977-3983

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-013-7502-0

Keywords

Modeling of sensing; Semiconducting metal oxide gas sensors; Grain shape; Surface chemistry; Sensing performance

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A model for sensing with semiconducting metal oxide (SMOX)-based gas sensors was developed which takes the effect of the shape of the grains in the sensing layers into account. Its validity is limited to materials in which the grains of the SMOX sensing layer are large enough to have an undepleted bulk region (large grains). This means that in all experimental conditions, the SMOX properties ensure that the influence of surface phenomena is not extended to the whole grain. The model takes the surface chemistry and its impact on the electrical properties of the sensing material into consideration. In this way, it relates the sensor signal-defined as the relative change of the sensor's conductance-directly to the concentration of the target gas and also exhibits meaningful chemical parameters, such as the type of reactive oxygen species, the reaction constants, and the concentration of adsorption sites. The validity of the model is confirmed experimentally by applying it to data gathered by measuring homemade sensors in relevant conditions.

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