Please use this identifier to cite or link to this item: doi:10.22028/D291-37445
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Title: Characterization and calibration of gas sensor systems at ppb level—a versatile test gas generation system
Author(s): Leidinger, Martin
Schultealbert, Caroline
Neu, Julian
Schütze, Andreas
Sauerwald, Tilman
Language: English
Title: Measurement science and technology
Volume: 29
Issue: 1
Publisher/Platform: IOP Publishing
Year of Publication: 2017
DDC notations: 600 Technology
Publikation type: Journal Article
Abstract: This article presents a test gas generation system designed to generate ppb level gas concentrations from gas cylinders. The focus is on permanent gases and volatile organic compounds (VOCs) for applications like indoor and outdoor air quality monitoring or breath analysis. In the design and the setup of the system, several issues regarding handling of trace gas concentrations have been considered, addressed and tested. This concerns not only the active fluidic components (flow controllers, valves), which have been chosen specifically for the task, but also the design of the fluidic tubing regarding dead volumes and delay times, which have been simulated for the chosen setup. Different tubing materials have been tested for their adsorption/desorption characteristics regarding naphthalene, a highly relevant gas for indoor air quality monitoring, which has generated high gas exchange times in a previous gas mixing system due to long time adsorption/desorption effects. Residual gas contaminations of the system and the selected carrier air supply have been detected and quantified using both an analytical method (GC-MS analysis according to ISO 16000-6) and a metal oxide semiconductor gas sensor, which detected a maximum contamination equivalent to 28 ppb of carbon monoxide. A measurement strategy for suppressing even this contamination has been devised, which allows the system to be used for gas sensor and gas sensor system characterization and calibration in the low ppb concentration range.
DOI of the first publication: 10.1088/1361-6501/aa91da
URL of the first publication:
Link to this record: urn:nbn:de:bsz:291--ds-374457
ISSN: 1361-6501
Date of registration: 29-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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