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Titel: Reproducibly emitting reference materials for volatile and semi-volatile organic compounds—using finite element modeling for emission predictions
VerfasserIn: Mull, Birte
Sauerwald, Tilman
Schultealbert, Caroline
Horn, Wolfgang
Brödner, Doris
Richter, Matthias
Sprache: Englisch
Titel: Air quality, atmosphere and health : an international journal
Bandnummer: 10
Heft: 10
Startseite: 1237
Endseite: 1246
Verlag/Plattform: Springer
Erscheinungsjahr: 2017
Freie Schlagwörter: Emitting reference material
Emission test chamber
Micro-chamber
FEM model
DDC-Sachgruppe: 690 Hausbau, Bauhandwerk
Dokumenttyp: Journalartikel / Zeitschriftenartikel
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 der Erstveröffentlichung: 10.1007/s11869-017-0508-6
URL der Erstveröffentlichung: https://link.springer.com/article/10.1007/s11869-017-0508-6
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-374495
hdl:20.500.11880/33870
http://dx.doi.org/10.22028/D291-37449
ISSN: 1873-9318
1873-9326
Datum des Eintrags: 29-Sep-2022
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Andreas Schütze
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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