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Transient signal analysis using complementary metal oxide semiconductor capacitive chemical microsensors
Adrian M Kummer1, Thomas P Burg, Andreas Hierlemann
1Physical Electronics Laboratory, Eidgenössische Technische Hochschule Zürich, ETH Hoenggerberg, HPT H4.2, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland.
Analytical Chemistry
|December 31, 2005
Summary
This study demonstrates how nonequilibrium signals from polymer-coated chemical microsensors can differentiate analytes. Dynamic sensor response analysis accurately models analyte uptake and diffusion, enabling substance discrimination.
Area of Science:
- Materials Science
- Chemical Engineering
- Sensor Technology
Background:
- Polymer-coated capacitive microsensors offer potential for chemical analysis.
- Understanding analyte diffusion dynamics within polymer layers is crucial for sensor performance.
Purpose of the Study:
- To explore analyte discrimination using nonequilibrium signals from polymer-coated capacitive chemical microsensors.
- To analyze analyte uptake and diffusion dynamics within thin polymer layers.
Main Methods:
- Utilized a diffusion model and dynamic sensor response data to analyze analyte uptake.
- Calculated response profile shapes analytically.
- Compared measured diffusion coefficients with literature values.
Main Results:
- Accurately described transient signal profiles despite model simplifications.
- Found concentration-independent and slightly concentration-dependent diffusion coefficients.
- Demonstrated successful discrimination of analytes, including mixtures, based on dynamic sensor data.
Conclusions:
- Nonequilibrium signals provide a viable method for analyte discrimination with single chemical microsensors.
- Analyte diffusion dynamics, influenced by molecular size, are key to differentiating substances.
- The developed model accurately captures analyte uptake and sensor response.