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Combining Headspace Solid-Phase Microextraction with Internal Benchmarking to Determine the Elimination Kinetics of Hydrophobic UVCBs
Stockholm University, Faculty of Science, Department of Environmental Science. Ryerson University, Canada.ORCID iD: 0000-0002-7285-8044
Stockholm University, Faculty of Science, Department of Environmental Science.ORCID iD: 0000-0003-2562-7339
Number of Authors: 42021 (English)In: Environmental Science and Technology, ISSN 0013-936X, E-ISSN 1520-5851, Vol. 55, no 16, p. 11125-11132Article in journal (Refereed) Published
Abstract [en]

Substances classified as unknown or variable composition, complex reaction products or biological origin (UVCB) present a challenge for environmental hazard and risk assessment. Here, we present a novel approach for whole-substance bioconcentration testing applied to cedarwood oil—an essential oil composed of volatile, hydrophobic organic chemicals. The method yields whole-body elimination rate constants for a mixture of constituents. Our approach combines in vivo dietary fish exposure with internal benchmarking and headspace solid-phase microextraction (HS-SPME) equilibrium sampling followed by suspect-screening analysis. We quantified depuration rate constants of 13 individual cedarwood oil constituents based on relative peak areas using gas chromatography (GC) coupled with Orbitrap-mass spectrometry (MS) and GC triple-quadrupole (QqQ)-MS. For seven constituents with available analytical standards, we compared the rate constants to the results obtained from solvent extraction, clean-up, and targeted GC–MS analysis. The HS-SPME sampling approach allowed for automated sample extraction and analyte enrichment while minimizing evaporative losses of the volatile target analytes and reducing matrix interferences from low-volatility organics. The suspect-screening analysis enabled the quantification of constituents without available analytical standards, while the internal benchmarking significantly reduced variability from differences in delivered dose and analytical variability between the samples.

Place, publisher, year, edition, pages
2021. Vol. 55, no 16, p. 11125-11132
Keywords [en]
mixture analysis, kinetic BCF, internal benchmarking, suspect-screening analysis, equilibrium sampling, HS-SPME
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-198452DOI: 10.1021/acs.est.1c00179ISI: 000687063400024PubMedID: 34324805OAI: oai:DiVA.org:su-198452DiVA, id: diva2:1609644
Available from: 2021-11-09 Created: 2021-11-09 Last updated: 2025-02-07Bibliographically approved

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Sühring, RoxanaSjøholm, Karina KnudsmarkMacLeod, Matthew

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