Please use this identifier to cite or link to this item: doi:10.22028/D291-37394
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Title: Facile quantification and identification for reducing gases over a wide concentration range
Author(s): Schultealbert, Caroline
Baur, Tobias
Schütze, Andreas
Sauerwald, Tilman
Language: English
Title: 17th International Meeting on Chemical Sensors 2018 proceedings : 15-19 July 2018, University of Vienna, Universitätsring 1, 1010 Vienna, Austria
Pages: 815-816
Publisher/Platform: AMA Service GmbH
Year of Publication: 2018
Place of publication: Wunstorf
Place of the conference: Vienna, Austria
DDC notations: 540 Chemistry
Publikation type: Conference Paper
Abstract: Two dedicated methods for quantification and identification for metal oxide semiconductor gas sensors with a specific temperature cycled operation (TCO) are presented. Both are giving an estimate for a certain parameter of the sensor relaxation caused by a step from high to low temperature. In this relaxation a highly oxidized sensor surface is gradually reduced by gas. The relaxation parameter is evaluated by calculating the slope of the logarithmic conductance over time for small gas concentration or by an estimation of the relaxation time constant for high concentrations respectively. A linear calibration curve between the relaxation parameter and the gas concentration is found for carbon monoxide, hydrogen and ammonia in the concentration range from 10 ppb to 100 ppm. For benzene the relaxation depends in form of a power law (exponent 0.4-0.5) with the gas concentration. The results can be interpreted within the framework of a general model for TCO MOS sensors.
DOI of the first publication: 10.5162/IMCS2018/P2GS.25
URL of the first publication: https://www.ama-science.org/proceedings/details/3197
Link to this record: urn:nbn:de:bsz:291--ds-373948
hdl:20.500.11880/33833
http://dx.doi.org/10.22028/D291-37394
ISBN: 978-3-9816876-9-9
Date of registration: 26-Sep-2022
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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