Please use this identifier to cite or link to this item: doi:10.22028/D291-27502
Title: Facile Quantification and Identification Techniques for Reducing Gases over a Wide Concentration Range Using a MOS Sensor in Temperature-Cycled Operation
Author(s): Schultealbert, Caroline
Baur, Tobias
Schütze, Andreas
Sauerwald, Tilman
Language: English
Title: Sensors
Volume: 18
Issue: 3
Publisher/Platform: MDPI
Year of Publication: 2018
DDC notations: 600 Technology
Publikation type: Journal Article
Abstract: Dedicated methods for quantification and identification of reducing gases based on model-based temperature-cycled operation (TCO) using a single commercial MOS gas sensor are presented. During high temperature phases the sensor surface is highly oxidized, yielding a significant sensitivity increase after switching to lower temperatures (differential surface reduction, DSR). For low concentrations, the slope of the logarithmic conductance during this low-temperature phase is evaluated and can directly be used for quantification. For higher concentrations, the time constant for reaching a stable conductance during the same low-temperature phase is evaluated. Both signals represent the reaction rate of the reducing gas on the strongly oxidized surface at this low temperature and provide a linear calibration curve, which is exceptional for MOS sensors. By determining these reaction rates on different low-temperature plateaus and applying pattern recognition, the resulting footprint can be used for identification of different gases. All methods are tested over a wide concentration range from 10 ppb to 100 ppm (4 orders of magnitude) for four different reducing gases (CO, H2, ammonia and benzene) using randomized gas exposures.
DOI of the first publication: 10.3390/s18030744
Link to this record: urn:nbn:de:bsz:291--ds-275022
hdl:20.500.11880/28659
http://dx.doi.org/10.22028/D291-27502
ISSN: 1424-8220
Date of registration: 30-Jan-2020
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Andreas Schütze
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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