Internal and external transport significance for predicting contaminant uptake rates in passive samplers

Lampert, David J.; Thomas, Courtney; Reible, Danny D.

doi:10.1016/j.chemosphere.2014.08.063

Cited by 31 publications

(37 citation statements)

References 27 publications

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“…Additionally, the loss of PRCs when exposed from the surface water is negligible (<10%) and therefore kinetic uptake estimates will not be influenced. Moreover the kinetics of loss of the PRCs of different hydrophobicity were consistent as per the analysis of [15]. If evaporative loss of the PRCs were of concern, the lighter PRCs would show greater losses than expected.…”

Section: Modeling the Effect Of Intertidal Dryingmentioning

confidence: 76%

“…For the 559/486 µm and 1060/1000 SPME PDMS fiber, no measurable desorption was observed for compounds with a logKow (logKow values for PAHs (SPARC estimates) [15]) of 4.7 or higher, 5.29 or higher, 6.58 or higher, for ambient temperatures of 4 °C, 20 °C, and 25 °C, respectively. For the 230/210 µm SPME PDMS fiber, there was substantial change from the initial concentration sorbed to the PDMS layer over the duration of the experiment for all three temperature treatments.…”

Section: Model Calibrationmentioning

confidence: 99%

“…The SPME PDMS fibers were pre-loaded with these four deuterated PAHs prior to deployment at the site as described in [14]. The PRC depletion and uptake of the target analytes were analyzed as described in [15]. The developed model was used to evaluate evaporative losses of both PRCs and to evaluate uptake and loss of the target analytes.…”

Section: Deployment Of Polydimethylsiloxane (Pdms) Passive Samplers Imentioning

confidence: 99%

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Modeling Compound Loss from Polydimethylsiloxane Passive Samplers

Thomas

Reible

2015

Chromatography

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Volatile losses were measured from polydimethylsiloxane (PDMS) passive samplers during determination of contaminant porewater concentrations in sediments. Volatile losses could occur between the time of retrieval and processing of the passive sampler or in intertidal environments where the passive sampler could potentially be exposed above the water surface at low tide. A model was developed to predict losses of absorbed compounds as a function of sorbent geometry and the Henry's Law Coefficient and PDMS-water partition coefficient of the compound of interest. The model suggests that thin layers of PDMS typically used to minimize equilibration times in passive sampling (≤30 µm) may not provide quantitative measurement of naphthalenes or other lighter volatile compounds without special efforts to reduce losses. The results suggest that the samplers should be processed rapidly onsite or kept at low temperatures after retrieval to maximize retention of more volatile compounds or designed with thick PDMS layers. The results also suggest that less volatile compounds, including phenanthrene, and higher molecular weight polynuclear aromatic hydrocarbons (PAHs) exhibit minimal evaporative losses with typical sample processing times.

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Section: Modeling the Effect Of Intertidal Dryingmentioning

confidence: 76%

Section: Model Calibrationmentioning

confidence: 99%

Section: Deployment Of Polydimethylsiloxane (Pdms) Passive Samplers Imentioning

confidence: 99%

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Modeling Compound Loss from Polydimethylsiloxane Passive Samplers

Thomas

Reible

2015

Chromatography

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“…Use of multiple passive sampler thicknesses to assess the kinetics of sampler uptake was demonstrated in a report by Reible and Lotufo [19] and further published in a peer-reviewed article by Lampert et al [20]. However, the use of -5 -the data obtained from PDMS fibers with different thicknesses for PAHs in their study was limited to supplementing data obtained by PRC measurements [20]. To our knowledge, no methods have been suggested to use passive samplers with multiple thicknesses as an independent method of non-equilibrium sampling to determine C free in sediment pore-water.…”

Section: Introductionmentioning

confidence: 99%

“…At equilibrium between passive samplers and the contacted sediment, the concentration in passive samplers with different thicknesses should be identical as long as the sampler-water partitioning coefficients are the same. Use of multiple passive sampler thicknesses to assess the kinetics of sampler uptake was demonstrated in a report by Reible and Lotufo [19] and further published in a peer-reviewed article by Lampert et al [20]. However, the use of -5 -the data obtained from PDMS fibers with different thicknesses for PAHs in their study was limited to supplementing data obtained by PRC measurements [20].…”

Section: Introductionmentioning

confidence: 99%

Non-equilibrium passive sampling of hydrophobic organic contaminants in sediment pore-water: PCB exchange kinetics

Choi

Luthy

et al. 2016

Journal of Hazardous Materials

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This study investigates the isotropic exchange kinetics of PCBs for polyethylene (PE) passive samplers in quiescent sediment and develops a novel non-equilibrium passive sampling method using PE with multiple thicknesses. The release and uptake kinetics of PCBs in quiescent sediment are reproduced by a 1-D diffusion model using sediment diffusion parameters fitted with the data from actual measurements. From the sediment diffusion parameters observed for uptake and release kinetics, it is seen that the uptake kinetics are distinctly slower than the release kinetics, most likely because of the sorption-desorption hysteresis of PCBs in the study sediment. Despite the presence of the anisotropic PCB exchange kinetics, a performance reference compound (PRC)-based method, which is grounded on the assumption of isotropic exchange kinetics, estimated the freely dissolved aqueous concentrations (Cfree) of PCBs in sediment pore-water with less than a factor of two error for the study sediment. The novel method developed in this study using PE with multiple thicknesses also gives reasonable estimates of Cfree, demonstrating its potential as another option for non-equilibrium passive sampling for hydrophobic organic contaminants in sediment pore-water.

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Determination of silicone rubber and low‐density polyethylene diffusion and polymer/water partition coefficients for emerging contaminants

Pintado-Herrera

Lara-Martín

González-Mazo

et al. 2016

Enviro Toxic and Chemistry

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There is a growing interest in assessing the concentration and distribution of new nonregulated organic compounds (emerging contaminants) in the environment. The measurement of freely dissolved concentrations using conventional approaches is challenging because of the low concentrations that may be encountered and their temporally variable emissions. Absorption-based passive sampling enables the estimation of freely dissolved concentrations of hydrophobic contaminants of emerging concern in water. In the present study, calibration was undertaken for 2 polymers, low-density polyethylene (LDPE) and silicone rubber for 11 fragrances, 5 endocrine-disrupting compounds, 7 ultraviolet (UV) filters, and 8 organophosphate flame retardant compounds. Batch experiments were performed to estimate contaminant diffusion coefficients in the polymers (Dp ), which in general decreased with increasing molecular weight. The values for fragrances, endocrine-disrupting compounds, and UV filters were in ranges similar to those previously reported for polycyclic aromatic hydrocarbons, but were 1 order of magnitude lower for organophosphate flame retardant compounds. Silicone rubber had higher Dp values than LDPE and was therefore selected for further experiments to calculate polymer/water partition coefficients (KPW ). The authors observed a positive correlation between log KPW and log octanol/water partition coefficient values. Field testing of silicone rubber passive samplers was undertaken though exposure in the River Alna (Norway) for an exposure time of 21 d to estimate freely dissolved concentration. Some fragrances and UV filters were predominant over other emerging and regulated contaminants, at levels up to 1600 ng L(-1) for galaxolide and 448 ng L(-1) for octocrylene. Environ Toxicol Chem 2016;35:2162-2172. © 2016 SETAC.

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Internal and external transport significance for predicting contaminant uptake rates in passive samplers

Cited by 31 publications

References 27 publications

Modeling Compound Loss from Polydimethylsiloxane Passive Samplers

Modeling Compound Loss from Polydimethylsiloxane Passive Samplers

Non-equilibrium passive sampling of hydrophobic organic contaminants in sediment pore-water: PCB exchange kinetics

Determination of silicone rubber and low‐density polyethylene diffusion and polymer/water partition coefficients for emerging contaminants

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