Please use this identifier to cite or link to this item: doi:10.22028/D291-37449
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Title: Reproducibly emitting reference materials for volatile and semi-volatile organic compounds—using finite element modeling for emission predictions
Author(s): Mull, Birte
Sauerwald, Tilman
Schultealbert, Caroline
Horn, Wolfgang
Brödner, Doris
Richter, Matthias
Language: English
Title: Air quality, atmosphere and health : an international journal
Volume: 10
Issue: 10
Startpage: 1237
Endpage: 1246
Publisher/Platform: Springer
Year of Publication: 2017
Free key words: Emitting reference material
Emission test chamber
FEM model
DDC notations: 690 Building and construction
Publikation type: Journal Article
Abstract: Recent research into emissions of (semi-)volatile organic compounds [(S)VOC] from solid materials has focused on the development of suitable reference materials for quality assurance/quality control of emission test chamber measurements, which fulfill requirements such as homogenous and reproducible (S)VOC release. The approach of this study was to find a method for preparation of a material with predictable (S)VOC emission rates. A VOC (styrene) and an SVOC (2,6-diisopropylnaphthalene, DIPN), loaded into either vacuum grease or a 1:1 mixture of paraffin/squalane, have been tested. For the prediction of the emission rates, a model using the finite element method (FEM) was created to simulate the (S)VOC emission profiles. Theoretical and experimental results obtained in a Micro-Chamber/Thermal Extractor (μ-CTE™) and in 24 L emission test chamber measurements were in good agreement. Further properties were investigated concerning the material applicability, such as shelf life and inter-laboratory comparability. The maximum relative standard deviation in the inter-laboratory study was found to be 20%.
DOI of the first publication: 10.1007/s11869-017-0508-6
URL of the first publication:
Link to this record: urn:nbn:de:bsz:291--ds-374495
ISSN: 1873-9318
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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