2008
DOI: 10.21236/ada495607
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Demonstration and Evaluation of Solid Phase Microextraction for the Assessment of Bioavailability and Contaminant Mobility

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Cited by 6 publications
(12 citation statements)
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“…The resulting correlation and confidence intervals, applicable to high molecular weight PAHs and PCBs, was given by Equation (3). Selected measurements of PCB fiber water partition coefficients gave results within the error bounds of this relationship 26 . Because of the availability of this relationship for highly hydrophobic compounds, the focus was on extending this correlation to moderate to low hydrophobicity compounds with K ow ≤5-5.5.…”
Section: Demonstration Design and Resultsmentioning
confidence: 96%
“…The resulting correlation and confidence intervals, applicable to high molecular weight PAHs and PCBs, was given by Equation (3). Selected measurements of PCB fiber water partition coefficients gave results within the error bounds of this relationship 26 . Because of the availability of this relationship for highly hydrophobic compounds, the focus was on extending this correlation to moderate to low hydrophobicity compounds with K ow ≤5-5.5.…”
Section: Demonstration Design and Resultsmentioning
confidence: 96%
“…Passive sampling-derived C free correlates more closely with contaminant uptake and toxicity in benthic organisms than do total solid-phase concentrations (C total ) or other commonly implemented partitioning model estimates and thus is a better indicator of bioavailability and risk (Hawthorne, Azzolina et al 2007;Jonker et al 2007;Lu et al 2011;Lydy et al 2014). Because it provides a quantitative measurement of freely dissolved concentrations, PSMderived C free also is useful in modeling the flux of contaminants through the sediment and into surficial waters (Reible and Lotufo 2012;Lampert et al 2013; Thomas et al 2014). The use of PSMs has grown rapidly in both academic (Ghosh et al 2014;Lydy et al 2014) and regulatory (USEPA 2005(USEPA , 2012a(USEPA , 2012b settings over the past 10 to 15 y with a focus primarily on assessing heavily contaminated sediment.…”
Section: Introductionmentioning
confidence: 99%
“…Because of the differences in the compound properties for the PRC and the target analyte, correction is needed to calculate the fractional approach to equilibrium for the target analyte (C(t)/C(ss)) from the fractional PRC dissipation (1-C PRC (t)/C PRC0 ) at time t. In addition, PRC correction becomes difficult if sorption in the surrounding media is concentration dependent. Several approaches for the calibration using PRC data have been suggested (Huckins et al 2006;Tomaszewski and Luthy 2008;Fernandez et al 2009b;Reible and Lotufo 2012).…”
Section: Calibration Of Polymer Exchange Kinetics (K E )mentioning
confidence: 99%
“…Even for the most hydrophobic contaminants such as PCBs and HMW PAHs, this exposure time yields (near) equilibrium concentrations (Maruya et al 2009;Hawthorne et al 2011). Using vials and SPME fibers containing a thin PDMS coating (e.g., 10 mm PDMS), full equilibration can be achieved within a (2001); Hawthorne et al (2009Hawthorne et al ( , 2011 Oil (GC-FID) Hexane/acetone 6 Jonker (2011, 2012) PE PCBs, PAHs, DDTs, PBDEs, triclosan Dichloromethane, hexane, acetone 24 Fernandez et al (2009aFernandez et al ( , 2009bFernandez et al ( , 2012; Perron et al (2009Perron et al ( , 2013aPerron et al ( , 2013b PDMS-SPME PAHs (HPLC) Methanol, water, acetonitrile 3 Jonker (2009, 2012) Oil (GC-FID) Heptane 3 Jonker (2011, 2012) PAHs, PCBs, other semivolatiles Thermal desorption 0.5 ASTM (2007); Reible and Lotufo (2012) Silicone rubber PAHs, PCBs Ethyl acetate 100 Smedes et al (2009) PDMS-SPME ¼ polydimethylsiloxane-solid phase microextraction; PE ¼ polyethylene; POM ¼ polyoxymethylene.…”
Section: Ex Situ ("Laboratory") Exposuresmentioning
confidence: 99%
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