Please use this identifier to cite or link to this item: doi:10.22028/D291-37331
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Title: Highly sensitive benzene detection with metal oxide semiconductor gas sensors – an inter-laboratory comparison
Author(s): Sauerwald, Tilman
Baur, Tobias
Leidinger, Martin
Reimringer, Wolfhard
Spinelle, Laurent
Gerboles, Michel
Kok, Gertjan
Schütze, Andreas
Language: English
Title: Journal of sensors and sensor systems : JSSS
Volume: 7
Issue: 1
Pages: 235-243
Publisher/Platform: Copernicus Publications
Year of Publication: 2018
DDC notations: 621.3 Electrical engineering, electronics
Publikation type: Journal Article
Abstract: For detection of benzene, a gas sensor system with metal oxide semiconductor (MOS) gas sensors using temperature-cycled operation (TCO) is presented. The system has been tested in two different laboratories at the concentration range from 0.5 up to 10 ppb. The system is equipped with three gas sensors and advanced temperature control and read-out electronics for the extraction of features from the TCO signals. A sensor model is used to describe the sensor response in dependence on the gas concentration. It is based on a linear differential surface reduction (DSR) at a low temperature phase, which is linked to an exponential growth of the sensor conductance. To compensate for cross interference to other gases, the DSR is measured at three different temperatures (200, 250, 300 ∘C) and the calculated features are put into a multilinear regression (partial least square regression – PLSR) for the quantification of benzene at both laboratories. In the tests with the first set-up, benzene was supplied in defined gas profiles in a continuous gas flow with variation of humidity and various interferents, e.g. toluene and carbon monoxide (CO). Depending on the gas background and interferents, the quantification accuracy is between ±0.2 and ±2 ppb. The second gas mixing system is based on a circulation of the carrier gas stream in a closed-loop control for the benzene concentration and other test gases based on continuously available reference measurements for benzene and other organic and inorganic compounds. In this system, a similar accuracy was achieved for low background contaminations and constant humidity; the benzene level could be quantified with an error of less than 0.5 ppb. The transfer of regression models for one laboratory to the other has been tested successfully.
DOI of the first publication: 10.5194/jsss-7-235-2018
URL of the first publication: https://jsss.copernicus.org/articles/7/235/2018/
Link to this record: urn:nbn:de:bsz:291--ds-373316
hdl:20.500.11880/33810
http://dx.doi.org/10.22028/D291-37331
ISSN: 2194-878X
2194-8771
Date of registration: 22-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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