Optimization of Time-Weighted Average Air Sampling by Solid-Phase Microextraction Fibers Using Finite Element Analysis Software

dc.contributor.author Kenessov, Bulat
dc.contributor.author Koziel, Jacek
dc.contributor.author Baimatova, Nassiba
dc.contributor.author Demyanenko, Olga
dc.contributor.author Koziel, Jacek
dc.contributor.author Derbissalin, Miras
dc.contributor.department Food Science and Human Nutrition
dc.contributor.department Civil, Construction and Environmental Engineering
dc.contributor.department Agricultural and Biosystems Engineering
dc.contributor.department Toxicology
dc.date 2018-10-27T05:08:04.000
dc.date.accessioned 2020-06-29T22:43:59Z
dc.date.available 2020-06-29T22:43:59Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2018
dc.date.issued 2018-10-23
dc.description.abstract <p>Determination of time-weighted average (TWA) concentrations of volatile organic compounds (VOCs) in air using solid-phase microextraction (SPME) is advantageous over other sampling techniques, but is often characterized by insufficient accuracies, particularly at longer sampling times. Experimental investigation of this issue and disclosing the origin of the problem is problematic and often not practically feasible due to high uncertainties. This research is aimed at developing the model of the TWA extraction process and optimization of TWA air sampling by SPME using finite element analysis software (COMSOL Multiphysics, Burlington, MA, USA). It was established that sampling by porous SPME coatings with high affinity to analytes is affected by slow diffusion of analytes inside the coating, an increase of their concentrations in the air near the fiber tip due to equilibration, and eventual lower sampling rate. The increase of a fiber retraction depth (Z) resulted in better recoveries. Sampling of studied VOCs using 23 ga Carboxen/polydimethylsiloxane (Car/PDMS) assembly at maximum possible Z (40 mm) was proven to provide more accurate results. Alternative sampling configuration based on 78.5 × 0.75 mm internal diameter SPME liner was proven to provide similar accuracy at improved detection limits. Its modification with the decreased internal diameter from the sampling side should provide even better recoveries. The results obtained can be used to develop a more accurate analytical method for determination of TWA concentrations of VOCs in air using SPME. The developed model can be used to simulate sampling of other environments (process gases, water) by retracted SPME fibers.</p>
dc.description.comments <p>This article is published as Kenessov, Bulat, Jacek A. Koziel, Nassiba Baimatova, Olga P. Demyanenko, and Miras Derbissalin. "Optimization of Time-Weighted Average Air Sampling by Solid-Phase Microextraction Fibers Using Finite Element Analysis Software." <em>Molecules</em> 23, no. 11 (2018): 2736. DOI: <a href="https://dx.doi.org/10.3390/molecules23112736" target="_blank">10.3390/molecules23112736</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/955/
dc.identifier.articleid 2238
dc.identifier.contextkey 12932724
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/955
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1774
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/955/2018_Koziel_OptimizationTime.pdf|||Mon Oct 08 13:05:15 UTC 2018
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/955/2018_Koziel_OptimizationTimeWeighted.pdf|||Sat Jan 15 02:34:38 UTC 2022
dc.source.uri 10.3390/molecules23112736
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Toxicology
dc.subject.keywords solid-phase microextraction
dc.subject.keywords air sampling
dc.subject.keywords air analysis
dc.subject.keywords volatile organic compounds
dc.subject.keywords COMSOL
dc.subject.keywords time-weighted average
dc.title Optimization of Time-Weighted Average Air Sampling by Solid-Phase Microextraction Fibers Using Finite Element Analysis Software
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 76fc5589-51f8-4f3c-885c-e25d8037d641
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relation.isOrgUnitOfPublication 933e9c94-323c-4da9-9e8e-861692825f91
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