title: Predicting oral relative bioavailability of arsenic in soil from in vitro bioaccessibility.
abstract: Several investigations have been conducted to develop in vitro bioaccessibility (IVBA) assays that reliably predict in vivo oral relative bioavailability (RBA) of arsenic (As). This study describes a meta-regression model relating soil As RBA and IVBA that is based upon data combined from previous investigations that examined the relationship between As IVBA and RBA when IVBA was determined using an extraction of soil in 0.4 M glycine at pH 1.5. Data used to develop the model included paired IVBA and RBA estimates for 83 soils from various types of sites such as mining, smelting, and pesticide or herbicide application. The following linear regression model accounted for 87% of the observed variance in RBA (R(2) = .87): RBA(%) = 0.79 × IVBA(%) + 3. This regression model is more robust than previously reported models because it includes a larger number of soil samples, and also accounts for variability in RBA and IVBA measurements made on samples collected from sites contaminated with different As sources and conducted in different labs that have utilized different experimental models for estimating RBA.
authors.affiliation: a SRC, Inc ., North Syracuse , New York , USA.
authors.forename: Gary L
authors.initials: GL
authors.lastname: Diamond
authors.affiliation: b U.S. Environmental Protection Agency , Office of Research and Development, National Exposure Research Laboratory, Research Triangle Park , North Carolina , USA.
authors.forename: Karen D
authors.initials: KD
authors.lastname: Bradham
authors.affiliation: a SRC, Inc ., North Syracuse , New York , USA.
authors.forename: William J
authors.initials: WJ
authors.lastname: Brattin
authors.affiliation: c U.S. Environmental Protection Agency , Office of Superfund Remediation and Technology Innovation, Science Policy Branch , Washington DC , USA.
authors.forename: Michele
authors.initials: M
authors.lastname: Burgess
authors.affiliation: d U.S. Environmental Protection Agency , Denver , Colorado , USA.
authors.forename: Susan
authors.initials: S
authors.lastname: Griffin
authors.affiliation: c U.S. Environmental Protection Agency , Office of Superfund Remediation and Technology Innovation, Science Policy Branch , Washington DC , USA.
authors.forename: Cheryl A
authors.initials: CA
authors.lastname: Hawkins
authors.affiliation: e Centre for Environmental Risk Assessment and Remediation , University of South Australia , Adelaide , South Australia , Australia.
authors.forename: Albert L
authors.initials: AL
authors.lastname: Juhasz
authors.affiliation: a SRC, Inc ., North Syracuse , New York , USA.
authors.forename: Julie M
authors.initials: JM
authors.lastname: Klotzbach
authors.affiliation: b U.S. Environmental Protection Agency , Office of Research and Development, National Exposure Research Laboratory, Research Triangle Park , North Carolina , USA.
authors.forename: Clay
authors.initials: C
authors.lastname: Nelson
authors.affiliation: f Exponent, Inc ., Boulder , Colorado , USA.
authors.forename: Yvette W
authors.initials: YW
authors.lastname: Lowney
authors.affiliation: g U.S. Environmental Protection Agency , Office of Research and Development, National Risk Management Research Laboratory , Cincinnati , Ohio , USA.
authors.forename: Kirk G
authors.initials: KG
authors.lastname: Scheckel
authors.affiliation: h U.S. Environmental Protection Agency , Office of Research and Development, National Health and Environmental Effects Research Laboratory, Research Triangle Park , North Carolina , USA.
authors.forename: David J
authors.initials: DJ
authors.lastname: Thomas
mesh_terms: D001151:Arsenic / Q000493:pharmacokinetics*; D001681:Biological Assay / Q000379:methods*; D001682:Biological Availability; D016014:Linear Models; D008954:Models, Biological; D012989:Soil Pollutants / Q000493:pharmacokinetics*
chemical_list: D012989:Soil Pollutants; D001151:Arsenic