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A finite element model for mixed potential sensors
- Source :
- Sensors and Actuators B: Chemical. 287:476-485
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Many studies are dealing with the behavior of mixed potential sensors. However, a quantitative description of the processes leading to the sensor signals has not yet been carried out. This paper describes a first approach to address the question to what extent a mixed potential sensor can be modelled in a finite element model. In 1D geometry, the electrochemical reactions that lead to signal formation, but also the gas phase reactions at the electrodes, were taken into account. Polarization curves, taken by a novel and for such research optimized setup, are used to determine the electrochemical parameters. Those are necessary to quantify the kinetics and electrical properties of the sensor system. It will be shown how to deduce other analyte concentrations and sensor temperatures from a single data set. In addition, the geometry of the electrode can be modified. In the model, the sensor signal is calculated for the analytes propene, hydrogen and carbon monoxide and compared with measured values. In particular, it shows the limitations of the conventionally used simplified mixed potential theory, since a complete Butler-Volmer equation has to be used for each analyte, especially for small analyte concentrations. This model serves as a basis for even more detailed studies that further elucidate the mechanisms behind mixed potential formation in mixtures or by varying the electrode configuration.
- Subjects :
- Analyte
Materials science
Hydrogen
Mixed potential theory
chemistry.chemical_element
02 engineering and technology
010402 general chemistry
Electrochemistry
01 natural sciences
chemistry.chemical_compound
Materials Chemistry
Electrical and Electronic Engineering
Polarization (electrochemistry)
Instrumentation
Metals and Alloys
021001 nanoscience & nanotechnology
Condensed Matter Physics
Finite element method
0104 chemical sciences
Surfaces, Coatings and Films
Electronic, Optical and Magnetic Materials
chemistry
Electrode
0210 nano-technology
Biological system
Carbon monoxide
Subjects
Details
- ISSN :
- 09254005
- Volume :
- 287
- Database :
- OpenAIRE
- Journal :
- Sensors and Actuators B: Chemical
- Accession number :
- edsair.doi...........76afb5a3293582d0936d06856f298c92
- Full Text :
- https://doi.org/10.1016/j.snb.2019.02.052