2014
DOI: 10.1021/es503695g
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Validation of the Predictive Capabilities of the Sbrc-G in Vitro Assay for Estimating Arsenic Relative Bioavailability in Contaminated Soils

Abstract: A number of bioaccessibility methodologies have the potential to act as surrogate measures of arsenic (As) relative bioavailability (RBA), however, validation of the in vivo-in vitro relationship is yet to be established. Validation is important for human health risk assessment in order to ensure robust models for predicting As RBA for refining exposure via incidental soil ingestion. In this study, 13 As-contaminated soils were assessed for As RBA (in vivo swine model) and As bioaccessibility (Solubility Bioac… Show more

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Cited by 55 publications
(52 citation statements)
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References 41 publications
(160 reference statements)
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“…The effect from phosphate was not determined in this study either, although some authors stated that the phosphate can decrease the intestinal absorption of As [ 31 ]. Potentially, the high P/As molar ratio may reduce As RBA due to P competition of the in vivo system.…”
Section: Discussionmentioning
confidence: 90%
See 1 more Smart Citation
“…The effect from phosphate was not determined in this study either, although some authors stated that the phosphate can decrease the intestinal absorption of As [ 31 ]. Potentially, the high P/As molar ratio may reduce As RBA due to P competition of the in vivo system.…”
Section: Discussionmentioning
confidence: 90%
“…Potentially, the high P/As molar ratio may reduce As RBA due to P competition of the in vivo system. The effects from some other metals (such as Mn and Mg) were not determined since most literature did not report the concentrations of these two elements, while Juhasz et al [ 31 ] demonstrated the efficacy of Mn and Mg surfaces to sorb As. In detail, due to the elevated concentrations of both Mn and Mg, dissolution and precipitation processes may decrease the as absorption and availability in gastrointestinal tract.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, mathematical modelling to assess the linkage between small molecular metabolites and arsenic toxicity has advanced 28. Developing a simple and interpretable modelling approach for the early detection of arsenic-induced lesions is of great theoretical value and realistic meaning,29 although it might be difficult due to population-specific complexities and effect of some potential unmeasured covariates such as diet and genetic determinants.…”
Section: Discussionmentioning
confidence: 99%
“…In this paper, mixture toxicity (n = 60) were randomly divided into two disjoint parts; 1/3 of the combined toxicity (n = 20) was allocated to the test set, 2/3 of the combined toxicity (n = 40) and single toxicity (n = 24) were combined resulting in a training set. The holdout method was repeated 20 times with randomly selected training and holdout sets53.…”
Section: Methodsmentioning
confidence: 99%