Comparison of In Vitro PBET and Phosphoric Acid Extraction as an Approach to Estimate Selenite and Selenate Bioaccessibility from Soil

Funes-Collado, Virginia; Rubio, R.; López-Sánchez, José Fermı́n

doi:10.1007/s11270-011-0826-5

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…A simple phosphoric acid extraction 183 produced results similar to a two-stage physiologically based extraction procedure for bioaccessible concentrations of Se, selenite and selenate in RTC soil CRMs 023-0505 and 025-0505 and in two Californian soils. Total Se was measured by HG-AFS and ICP-MS; Se species in PBET extracts by HPLC-ICP-MS and a HPLC-HG-AFS method in which the column eluate passed through a UV reactor prior to the hydride generation unit; and Se species in 1 M o-phosphoric acid also by HPLC-HG-AFS.…”

Section: Sample Dissolution and Extractionmentioning

confidence: 88%

“…A new method 385 for measuring the isotopic abundance of tungsten in silicate samples by TIMS involved a four-step separation of W by ion-exchange chromatography and the NTIMS measurement of WO 3 À . Data were initially corrected for oxide interferences and mass fractionation by normalisation to 186 W/ 184 W or 186 W/ 183 W, using an exponential law, and then for a mass-dependent change of oxygen isotope composition in the measured W oxides by normalisation to 183 W/ 184 W using a linear law. The long-term reproducibility of AE4.5 ppm (2s, n ¼ 39) for 182 W/ 184 W measured on about 1.5 mg of W puried from natural samples was a ve-fold improvement on the precision of conventional W isotope measurements by MC-ICP-MS. 4.4.3.2 SIMS.…”

Section: Sample Preparationmentioning

confidence: 99%

See 1 more Smart Citation

Atomic spectrometry update. Environmental analysis

Butler

Cairns

Cook

et al. 2013

J. Anal. At. Spectrom.

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Section: Sample Dissolution and Extractionmentioning

confidence: 88%

Section: Sample Preparationmentioning

confidence: 99%

Atomic spectrometry update. Environmental analysis

Butler

Cairns

Cook

et al. 2013

J. Anal. At. Spectrom.

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“…Most bioaccessibility research on metals has focused largely on Pb and As (Koch and Reimer ). Some data on other analytes, however, are available, including Sb (Denys et al ), Se (Funes‐Collado et al ), Cd and Zn (Roussel et al ), Hg (Zagury et al ), and Pt group metals (e.g., Pt, Pd, and Rh) (Colombo et al ).…”

Section: Modeling Considerations To Improve Exposure Estimationmentioning

confidence: 99%

Recommendations to improve wildlife exposure estimation for development of soil screening and cleanup values

Sample¹,

Schlekat

Spurgeon

et al. 2013

Integr Envir Assess & Manag

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An integral component in the development of media‐specific values for the ecological risk assessment of chemicals is the derivation of safe levels of exposure for wildlife. Although the derivation and subsequent application of these values can be used for screening purposes, there is a need to identify the threshold for effects when making remedial decisions during site‐specific assessments. Methods for evaluation of wildlife exposure are included in the US Environmental Protection Agency (USEPA) ecological soil screening levels (Eco‐SSLs), registration, evaluation, authorization, and restriction of chemicals (REACH), and other risk‐based soil assessment approaches. The goal of these approaches is to ensure that soil‐associated contaminants do not pose a risk to wildlife that directly ingest soil, or to species that may be exposed to contaminants that persist in the food chain. These approaches incorporate broad assumptions in the exposure and effects assessments and in the risk characterization process. Consequently, thresholds for concluding risk are frequently very low with conclusions of risk possible when soil metal concentrations fall in the range of natural background. A workshop held in September, 2012 evaluated existing methods and explored recent science about factors to consider when establishing appropriate remedial goals for concentrations of metals in soils. A Foodweb Exposure Workgroup was organized to evaluate methods for quantifying exposure of wildlife to soil‐associated metals through soil and food consumption and to provide recommendations for the development of ecological soil cleanup values (Eco‐SCVs) that are both practical and scientifically defensible. The specific goals of this article are to review the current practices for quantifying exposure of wildlife to soil‐associated contaminants via bioaccumulation and trophic transfer, to identify potential opportunities for refining and improving these exposure estimates, and finally, to make recommendations for application of these improved models to the development of site‐specific remedial goals protective of wildlife. Although the focus is on metals contamination, many of the methods and tools discussed are also applicable to organic contaminants. The conclusion of this workgroup was that existing exposure estimation models are generally appropriate when fully expanded and that methods are generally available to develop more robust site‐specific exposure estimates. Improved realism in site‐specific wildlife Eco‐SCVs could be achieved by obtaining more realistic estimates for diet composition, bioaccumulation, bioavailability and/or bioaccessibility, soil ingestion, spatial aspects of exposure, and target organ exposure. These components of wildlife exposure estimation should be developed on a site‐, species‐, and analyte‐specific basis to the extent that the expense for their derivation is justified by the value they add to Eco‐SCV development. Integr Environ Assess Manag 2014;10:372–387. © 2013 The Authors. Integrated Environmen...

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“…An in vitro Physiologically Based Extraction Test (PBET) and a phosphate buffer extraction were applied to two soil CRMs (Resource Technology Corporation CRM023-050 and CRM025-050) and two soils from California (R1 and R2). 222 Both HPLC-ICP-MS and HPLC-HG-AFS were employed to analyse the extracts. The gastrointestinal PBET stage provided mean bioaccessible values of 99% for CRM023-050, 78% for CRM025-50, 61% soil R1 and 57% for soil R3.…”

Section: Seleniummentioning

confidence: 99%