Please use this identifier to cite or link to this item: doi:10.22028/D291-37316
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Title: Comparison of ppb-level gas measurements with a metal-oxide semiconductor gas sensor in two independent laboratories
Author(s): Bastuck, Manuel
Baur, Tobias
Richter, Matthias
Mull, B.
Schütze, Andreas
Sauerwald, Tilman
Language: English
Title: Sensors and actuators B, Chemical : an international journal devoted to research and development of chemical transducers
Volume: 273
Pages: 1037-1046
Publisher/Platform: Elsevier
Year of Publication: 2018
Free key words: Indoor air quality
Volatile organic compounds
Calibration transfer
Selective quantification
Inter-lab comparison
DDC notations: 530 Physics
Publikation type: Journal Article
Abstract: In this work, we use a gas sensor system consisting of a commercially available gas sensor in temperature cycled operation. It is trained with an extensive gas profile for detection and quantification of hazardous volatile organic compounds (VOC) in the ppb range independent of a varying background of other, less harmful VOCs and inorganic interfering gases like humidity or hydrogen. This training was then validated using a different gas mixture generation apparatus at an independent lab providing analytical methods as reference. While the varying background impedes selective detection of benzene and naphthalene at the low concentrations supplied, both formaldehyde and total VOC can well be quantified, after calibration transfer, by models trained with data from one system and evaluated with data from the other system. The lowest achievable root mean squared errors of prediction were 49 ppb for formaldehyde (in a concentration range of 20–200 ppb) and 150 μg/m³ (in a concentration range of 25–450 μg/m³) for total VOC. The latter uncertainty improves to 13 μg/m³ with a more confined model range of 220–320 μg/m³. The data from the second lab indicate an interfering gas which cannot be detected analytically but strongly influences the sensor signal. This demonstrates the need to take into account all sensor relevant gases, like, e.g., hydrogen and carbon monoxide, in analytical reference measurements.
DOI of the first publication: 10.1016/j.snb.2018.06.097
URL of the first publication: https://www.sciencedirect.com/science/article/abs/pii/S0925400518312024
Link to this record: urn:nbn:de:bsz:291--ds-373165
hdl:20.500.11880/33843
http://dx.doi.org/10.22028/D291-37316
ISSN: 0925-4005
Date of registration: 27-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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