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doi:10.22028/D291-37394
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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