title: Predicting Arsenic Relative Bioavailability Using Multiple in Vitro Assays: Validation of in Vivo-in Vitro Correlations.
abstract: In this study, previously established arsenic (As) in vivo-in vitro correlations (IVIVC) were assessed for their validity using an independent data set comprising As relative bioavailability (RBA) and bioaccessibility values for 13 herbicide- and mine-impacted soils. The validation process established the correlation between As RBA (swine model) and bioaccessibility (five in vitro assays), determined whether correlations differed significantly from previous relationships and assessed model bias and error. The capacity of in vitro assays to predict As RBA was demonstrated by the strength of IVIVC; goodness of fit ranged from 0.53 (DIN-I) to 0.74 (UBM-I). When compared to previous IVIVC (Juhasz et al. Environ. Sci. Technol. 2009 , 43 , 9487 ; Juhasz et al. J. Hazard. Mater. 2011 , 197 , 161 ), there was no significant difference (P < 0.01) in the slope and y-intercept for IVG-G, UBM-G, and UBM-I indicating the consistency of these assays for predicting As RBA. However, variability in model bias and prediction error was observed with significantly lower (P < 0.01) error determined for IVG-G suggesting that As RBA predictions using IVG-G may be more robust compared to UBM-G and UBM-I. In contrast, differences in the slope and/or y-intercept were observed for SBRC-I, IVG-I, PBET-G, PBET-I, DIN-G, and DIN-I suggesting that these methodologies may not be suitable for predicting As RBA.
authors: Centre for Environmental Risk Assessment and Remediation, University of South Australia , Mawson Lakes, South Australia 5095, Australia.
authors: Albert L
authors: AL
authors: Juhasz
authors: South Australian Health and Medical Research Institute , Gilles Plains, South Australia 5086, Australia.
authors: Paul
authors: P
authors: Herde
authors: South Australian Health and Medical Research Institute , Gilles Plains, South Australia 5086, Australia.
authors: Carina
authors: C
authors: Herde
authors: Centre for Industrial and Applied Mathematics, University of South Australia , Mawson Lakes, South Australia 5095, Australia.
authors: John
authors: J
authors: Boland
authors: Centre for Environmental Risk Assessment and Remediation, University of South Australia , Mawson Lakes, South Australia 5095, Australia.
authors: Euan
authors: E
authors: Smith
mesh_terms: D000818:Animals; D001151:Arsenic / Q000032:analysis* / Q000737:chemistry; D001681:Biological Assay / Q000379:methods*; D001682:Biological Availability; D016014:Linear Models; D010316:Particle Size; D015203:Reproducibility of Results; D012107:Research Design; D012987:Soil / Q000737:chemistry; D012989:Soil Pollutants / Q000032:analysis; D034421:Sus scrofa
chemical_list: D012987:Soil; D012989:Soil Pollutants; D001151:Arsenic