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Investigating the presence and persistence of volatile methylsiloxanes in Arctic sediments
Stockholm University, Faculty of Science, Department of Environmental Science and Analytical Chemistry. University of California, USA.ORCID iD: 0000-0002-3402-7565
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Number of Authors: 62020 (English)In: Environmental Science: Processes & Impacts, ISSN 2050-7887, E-ISSN 2050-7895, Vol. 22, no 4, p. 908-917Article in journal (Refereed) Published
Abstract [en]

Volatile methylsiloxanes (VMS) have been identified as contaminants of emerging concern in aquatic systems. Here, we report on the presence of VMS in sediment and wastewater from Arctic regions in 2014 to 2016 and model their persistence in Adventfjorden in Longyearbyen, Svalbard. Total concentrations of VMS in sediment were dominated by D4 and D5 and ranged from 0.0024 to 1.7 ng g−1 at Svalbard (Longyearbyen), from 4.0 to 43 ng g−1 in Greenland (Nuuk) and from 0.19 to 21 ng g−1 in the Canadian Archipelago. Concentrations in wastewater samples from Svalbard ranged from 12 to 156 ng L−1. Large variability in reported values of the partition ratio between organic carbon and water (KOC) and enthalpy of sorption (ΔHOC; often estimated from enthalpy of phase change between octanol and water, ΔHOW) of VMS has resulted in high uncertainty in evaluating persistence in aquatic systems. We evaluated previously reported KOC and ΔHOC values from the literature in predicting measured VMS concentrations in sediment and wastewater in scenarios using a fugacity-based multimedia model for VMS concentrations in Svalbard. We tested two different model scenarios: (1) KOC and ΔHOW measurements for three cyclic VMS previously reported by Kozerski et al. (Environ. Toxicol. Chem., 2014, 33, 1937–1945) and Xu and Kropscott (Environ. Chem., 2014, 33, 2702–2710) and (2) the KOC and ΔHOC measurements from Panagopoulos et al. (Environ. Sci. Technol., 2015, 49, 12161–12168 and Environ. Sci. Technol. Lett., 2017, 4(6), 240–245). Concentrations of VMS in sediment predicted from concentrations in wastewater in scenario 2 were in good agreement with measured concentrations, whereas in scenario 1, predicted concentrations were 2 to 4 orders of magnitude lower. Such large discrepancies indicate that the differences in the predicted concentrations are more likely to be attributed to KOC and ΔHOC than to uncertainty in environmental parameters or emission rates.

Place, publisher, year, edition, pages
2020. Vol. 22, no 4, p. 908-917
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Earth and Related Environmental Sciences
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URN: urn:nbn:se:su:diva-184903DOI: 10.1039/c9em00455fISI: 000546453900021PubMedID: 32048673OAI: oai:DiVA.org:su-184903DiVA, id: diva2:1471184
Available from: 2020-09-28 Created: 2020-09-28 Last updated: 2025-02-07Bibliographically approved

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Panagopoulos Abrahamsson, DimitriWarner, Nicholas AlexanderJahnke, AnnikaMacLeod, Matthew

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