1. Predicting oral relative bioavailability of arsenic in soil from in vitro bioaccessibility
- Author
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Karen D. Bradham, Clay Nelson, Gary Diamond, David J. Thomas, Yvette W. Lowney, Albert L. Juhasz, Julie M Klotzbach, William J. Brattin, Michele Burgess, Cheryl A Hawkins, Susan Griffin, Kirk G. Scheckel, Diamond, Gary L, Bradham, Karen D, Brattin, William J, Burgess, Michele, Griffin, Susan, Hawkins, Cheryl, Juhasz, Albert L, Klotzbach, Julie M, Nelson, Clay, Lowney, Yvette W, Scheckel, Kirk G, and Thomas, David J
- Subjects
Soil test ,cadmium ,Health, Toxicology and Mutagenesis ,contaminated soils ,Biological Availability ,010501 environmental sciences ,Toxicology ,01 natural sciences ,Models, Biological ,Arsenic ,Soil pH ,Linear regression ,errors ,Soil Pollutants ,Public, Environmental & Occupational Health ,0105 earth and related environmental sciences ,validation ,lead ,Pesticide residue ,Chemistry ,swine ,Soil classification ,04 agricultural and veterinary sciences ,assay ,Soil contamination ,Bioavailability ,Environmental chemistry ,Soil water ,040103 agronomy & agriculture ,Linear Models ,0401 agriculture, forestry, and fisheries ,regression ,Biological Assay ,Environmental Sciences - 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 (R2 = .87): RBA(%) = 0.79 × IVBA(%) + 3.0. 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.
- Published
- 2016
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