2015
DOI: 10.1021/acs.est.5b03195
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Bioconcentration and Aquatic Toxicity of Superhydrophobic Chemicals: A Modeling Case Study of Cyclic Volatile Methyl Siloxanes

Abstract: Many chemicals in commerce are classified as "superhydrophobic", having log octanol-water partition coefficients (log KOW) approaching or exceeding 7. Examples include long-chain alkanes, halogenated aromatics, and cyclic volatile methylsiloxanes (cVMS). We show that superhydrophobic chemicals present unique assessment challenges because of their sparing solubility in water and difficulties in empirical determinations of bioconcentration factors (BCFs) and aquatic toxicity. Using cVMS as an example, BCFs are c… Show more

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Cited by 39 publications
(41 citation statements)
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“…Initially the limit identified in Equation 1 was parameterized at log K OW of 6 [9,[40][41][42][43], which effectively reduced the bioavailability of more hydrophobic components while allowing fractional contribution to overall toxicity of the substance to be included in P TU calculations [44][45][46]. This nonlinear partitioning behavior may reflect the impact of low solubility and slow toxicokinetics [47] or other competing processes that limit accumulation in the target lipid for these low-solubility constituents. The upper limit on the K LW in the TLM (Equation 1) was calibrated by minimizing the root mean square error (RMSE; the sum of log residuals) that was computed separately for acute and chronic toxicity data sets.…”
Section: Modeling Analysismentioning
confidence: 99%
“…Initially the limit identified in Equation 1 was parameterized at log K OW of 6 [9,[40][41][42][43], which effectively reduced the bioavailability of more hydrophobic components while allowing fractional contribution to overall toxicity of the substance to be included in P TU calculations [44][45][46]. This nonlinear partitioning behavior may reflect the impact of low solubility and slow toxicokinetics [47] or other competing processes that limit accumulation in the target lipid for these low-solubility constituents. The upper limit on the K LW in the TLM (Equation 1) was calibrated by minimizing the root mean square error (RMSE; the sum of log residuals) that was computed separately for acute and chronic toxicity data sets.…”
Section: Modeling Analysismentioning
confidence: 99%
“…This has the advantage that the validity of the test to detect adverse effects is demonstrated and that values producing incipient responses, such as the lowest-adverse-effect level (LOAEL) and lowest-observed-effect concentration (LOEC), may be characterized for purposes of assessment of hazard or risk. However, these larger exposures may not be environmentally realistic or even thermodynamically attainable for substances, such as cVMS, that are poorly soluble in water, which results in slow uptake that might exceed feasible durations of tests (Fairbrother et al 2015;Mackay, Powell, and Woodburn 2015c).…”
Section: Constraints On Exposures In the Environmentmentioning
confidence: 99%
“…organisms (Mackay, Powell, and Woodburn 2015c). In the QWoE, the greatest weighting among the relevant methodologies was given to high-quality field studies on trophic biomagnification (BMF, biomagnification factor).…”
Section: Bioaccumulation (B)mentioning
confidence: 99%
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“…The columns on the right with log K OW of 8 represent an extreme condition of super-hydrophobicity 15,32 in which the diet is responsible for 99.8% of the inputs. The wet-weight concentrations are now nearly constant and the lipid-weight concentrations are highly variable.…”
Section: Mass-balance Equations Applied To Bioaccumulation In a Simplmentioning
confidence: 99%