731
Views
51
CrossRef citations to date
0
Altmetric
ARTICLES

Variability of bioaccessibility results using seventeen different methods on a standard reference material, NIST 2710

, , , , , , , , , , , , , , , , & show all
Pages 641-655 | Published online: 26 Feb 2013
 

Abstract

Bioaccessibility is a measurement of a substance's solubility in the human gastro-intestinal system, and is often used in the risk assessment of soils. The present study was designed to determine the variability among laboratories using different methods to measure the bioaccessibility of 24 inorganic contaminants in one standardized soil sample, the standard reference material NIST 2710. Fourteen laboratories used a total of 17 bioaccessibility extraction methods. The variability between methods was assessed by calculating the reproducibility relative standard deviations (RSDs), where reproducibility is the sum of within-laboratory and between-laboratory variability. Whereas within-laboratory repeatability was usually better than (<) 15% for most elements, reproducibility RSDs were much higher, indicating more variability, although for many elements they were comparable to typical uncertainties (e.g., 30% in commercial laboratories). For five trace elements of interest, reproducibility RSDs were: arsenic (As), 22–44%; cadmium (Cd), 11–41%; Cu, 15–30%; lead (Pb), 45–83%; and Zn, 18–56%. Only one method variable, pH, was found to correlate significantly with bioaccessibility for aluminum (Al), Cd, copper (Cu), manganese (Mn), Pb and zinc (Zn) but other method variables could not be examined systematically because of the study design. When bioaccessibility results were directly compared with bioavailability results for As (swine and mouse) and Pb (swine), four methods returned results within uncertainty ranges for both elements: two that were defined as simpler (gastric phase only, limited chemicals) and two were more complex (gastric + intestinal phases, with a mixture of chemicals).

Acknowledgments

Other participants are Kim House (laboratory supervisor) and Jessica Harris (analyst) from the Royal Military College of Canada; Tammie Morgan-Gray (risk assessor) and Andrea Amendola (risk assessor) from Golder Associates Ltd.; Marc Chénier (analyst) from Health Canada (HC); Shane Whitacre (analyst) from Ohio State University (OSU); Ben Smith (toxicologist/ risk assessor) from Stantec; Luba Vasiluk (analyst) from University of Guelph (UG); Linda Pinto (analyst) from Simon Fraser University (SFU); Bruno Welfringer (analyst) from École Polytechnique de Montréal (EPM); and Brian Laird (coordinator) and Kim Dekker (analyst) from University of Saskatchewan (US). Funding was provided by Health Canada, Contaminated Sites Division, as an Expert Support Department within the Federal Contaminated Sites Action Plan (FCSAP).

Notes

The Relative Bioavailability Leaching Procedure (RBALP) is also referred to as the Solubility and Bioavailability Research Consortium (SBRC) method, the Simple Bioaccessibility Extraction Test (SBET), and the In Vitro Bioaccessibility Assay (IVBA) for Pb in soil.

Spikes were prepared from Pb(NO3)2 and As2O3, rather than Pb(CH3COO)2 and NaH2AsO4 used in the bioavailability studies. Although the Pb2+ species are not expected to differ much in solubility behaviour, the use of the spike from the present study for As is not ideal, since the neutral As(III) species (As(OH)3) used in the spike may be less reactive with solution components (e.g., organic biomolecules) than anionic As(V) species (H2AsO4 ↔ HAsO4 2−).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 709.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.