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pH-Dependent Partitioning of Ionizable Organic Chemicals between the Silicone Polymer Polydimethylsiloxane (PDMS) and Water

ACS Environmental Au 2022 18 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Lili Niu, Lili Niu, Beate I. Escher, Beate I. Escher, Beate I. Escher, Martin Krauß Beate I. Escher, Beate I. Escher, Luise Henneberger, Martin Krauß Julia Huchthausen, Beate I. Escher, Martin Krauß Martin Krauß Martin Krauß Martin Krauß Lili Niu, Audrey Ogefere, Audrey Ogefere, Lili Niu, Beate I. Escher, Lili Niu, Beate I. Escher, Martin Krauß Beate I. Escher, Martin Krauß Martin Krauß Martin Krauß

Summary

Researchers systematically evaluated the pH-dependent partitioning of 190 neutral and ionizable organic chemicals between polydimethylsiloxane (PDMS) passive samplers and water using a 10-day shaking method, extending available PDMS-water partition constant datasets and demonstrating that ionization state strongly governs the sorptive uptake of polar and ionizable compounds into PDMS.

Study Type In vitro

The silicone polymer polydimethysiloxane (PDMS) is a popular passive sampler for <i>in situ</i> and <i>ex situ</i> sampling of hydrophobic organic chemicals. Despite its limited sorptive capacity for polar and ionizable organic chemicals (IOC), IOCs have been found in PDMS when extracting sediment and suspended particulate matter. The pH-dependent partitioning of 190 organics and IOCs covering a range of octanol-water partition constants log <i>K</i> <sub>ow</sub> from -0.3 to 7.7 was evaluated with a 10-day shaking method using mixtures composed of all chemicals at varying ratios of mass of PDMS to volume of water. This method reproduced the PDMS-water partition constant <i>K</i> <sub>PDMS/w</sub> of neutral chemicals from the literature and extended the dataset by 93 neutral chemicals. The existing quantitative structure-activity relationship between the log <i>K</i> <sub>ow</sub> and <i>K</i> <sub>PDMS/w</sub> could be extended with the measured <i>K</i> <sub>PDMS/w</sub> linearly to a log <i>K</i> <sub>ow</sub> of -0.3. Fully charged organics were not taken up into PDMS. Thirty-eight monoprotic organic acids and 42 bases showed negligible uptake of the charged species, and the pH dependence of the apparent <i>D</i> <sub>PDMS/w</sub>(pH) could be explained by the fraction of neutral species multiplied by the <i>K</i> <sub>PDMS/w</sub> of the neutral species of these IOCs. Seventeen multiprotic chemicals with up to three acidity constants p<i>K</i> <sub>a</sub> also showed a pH dependence of <i>D</i> <sub>PDMS/w</sub>(pH) with the tendency that the neutral and zwitterionic forms showed the highest <i>D</i> <sub>PDMS/w</sub>(pH). <i>D</i> <sub>PDMS/w</sub>(pH) of charged species of more hydrophobic multiprotic chemicals such as tetrabromobisphenol A and telmisartan was smaller but not negligible. Since these chemicals show high bioactivity, their contribution to mixture effects has to be considered when testing passive sampling extracts with <i>in vitro</i> bioassays. This work has further implications for understanding the role of microplastic as a vector for organic micropollutants.

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