Please use this identifier to cite or link to this item: doi:10.22028/D291-37318
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Title: Novel method for the detection of short trace gas pulses with metal oxide semiconductor gas sensors
Author(s): Baur, Tobias
Schultealbert, Caroline
Schütze, Andreas
Sauerwald, Tilman
Language: English
Title: Journal of sensors and sensor systems : JSSS
Volume: 7
Issue: 1
Pages: 411-419
Publisher/Platform: Copernicus Publications
Year of Publication: 2018
DDC notations: 621.3 Electrical engineering, electronics
Publikation type: Journal Article
Abstract: A novel method for the detection of short pulses of gas at very low concentrations, the differential surface reduction (DSR), is presented. DSR is related to the temperature pulsed reduction (TPR) method. In a high temperature phase, e.g., at 400 ∘C, the surface of a metal oxide semiconductor gas sensor (MOS) is oxidized in air and then cooled abruptly down to, e.g., 100 ∘C, conserving the large excess of negative surface charge. In this state reactions of reducing gases with surface oxygen are strongly favored, which increases the sensitivity. Due to the large energy barrier between metal oxide grains caused by the excess surface charge, a highly precise electrical measurement at very low conductance (down to 10−11 S) is a prerequisite for this method. Moreover, the electrical measurement must be very fast to allow a good resolution of retention times. Applying the method to a doped SnO2 detector, gas pulses down to a dosage of 1 ppb times seconds can be detected. The gas transport inside the detector is simulated using the finite element method (FEM) to optimize the gas transport and to keep response and recovery time as short as possible. With this approach, we have demonstrated a detection limit for ethanol of below 47 fg.
DOI of the first publication: 10.5194/jsss-7-411-2018
URL of the first publication: https://jsss.copernicus.org/articles/7/411/2018/
Link to this record: urn:nbn:de:bsz:291--ds-373189
hdl:20.500.11880/33799
http://dx.doi.org/10.22028/D291-37318
ISSN: 2194-878X
2194-8771
Date of registration: 21-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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