Literature DB >> 25310703

Validation of the predictive capabilities of the Sbrc-G in vitro assay for estimating arsenic relative bioavailability in contaminated soils.

Albert L Juhasz1, Paul Herde, Carina Herde, John Boland, Euan Smith.   

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 Bioaccessibility Research Consortium gastric phase extraction; SBRC-G). In vivo and in vitro data were used to assess the validity of the As RBA-bioaccessibility correlation previously described by Juhasz et al. (2009). Arsenic RBA and bioaccessibility in the 13 soils ranged from 6.8±2.4% to 70.5±6.8% and 5.7±0.3% to 78.4±0.8% respectively with a strong linear relationship (R2=0.75) between in vivo and in vitro assays. When the As in vivo-in vitro correlation was compared that of Juhasz et al. (2009), there was no significant difference (P>0.05) indicating that the relationship between As RBA and As bioaccessibility was consistent thereby demonstrating its validation. For these data, a grouped linear regression model was developed (R2=0.82) with a slope and y-intercept of 0.84 and 3.56 respectively. A number of cross validation methodologies (2-fold, repeat random subsampling, leave one out) were utilized to determine the performance of the linear regression model. Residuals and prediction errors ranged from 5.4 to 9.4 and 6.9-12.2 respectively illustrating the capacity of the SBRC-G to accurately predict As RBA in contaminated soil.

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Year:  2014        PMID: 25310703     DOI: 10.1021/es503695g

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  7 in total

1.  Elemental concentrations and in vitro bioaccessibility in Canadian background soils.

Authors:  Matt Dodd; G Mark Richardson; Ross Wilson; Andy Rencz; Peter Friske
Journal:  Environ Geochem Health       Date:  2016-06-28       Impact factor: 4.609

2.  Bioaccessibility of As, Cu, Pb, and Zn in mine waste, urban soil, and road dust in the historical mining village of Kaňk, Czech Republic.

Authors:  Petr Drahota; Karel Raus; Eva Rychlíková; Jan Rohovec
Journal:  Environ Geochem Health       Date:  2017-06-15       Impact factor: 4.609

3.  Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound.

Authors:  Rui Qu; Shu-Shen Liu; Qiao-Feng Zheng; Tong Li
Journal:  Sci Rep       Date:  2017-03-13       Impact factor: 4.379

4.  Effect of Nanoscale Zero-Valent Iron on Arsenic Bioaccessibility and Bioavailability in Soil.

Authors:  Shuo Chen; Lei Han; Qiu Wang; Chenglang Liu; Yuzhen Liu; Jie Li
Journal:  Front Chem       Date:  2022-07-22       Impact factor: 5.545

5.  A Pooled Data Analysis to Determine the Relationship between Selected Metals and Arsenic Bioavailability in Soil.

Authors:  Kaihong Yan; Ravi Naidu; Yanju Liu; Ayanka Wijayawardena; Luchun Duan; Zhaomin Dong
Journal:  Int J Environ Res Public Health       Date:  2018-04-30       Impact factor: 3.390

6.  The association of tryptophan and phenylalanine are associated with arsenic-induced skin lesions in a Chinese population chronically exposed to arsenic via drinking water: a case-control study.

Authors:  Yaping Wei; Chaonan Jia; Yuan Lan; Xiangqing Hou; Jingjing Zuo; Jushuang Li; Tao Wang; Guangyun Mao
Journal:  BMJ Open       Date:  2019-10-30       Impact factor: 2.692

7.  Bioaccessible arsenic in soil of thermal areas of Viterbo, Central Italy: implications for human health risk.

Authors:  V Rimondi; P Costagliola; P Lattanzi; T Catelani; S Fornasaro; D Medas; G Morelli; M Paolieri
Journal:  Environ Geochem Health       Date:  2021-04-21       Impact factor: 4.609

  7 in total

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