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Variability associated with as in vivo-in vitro correlations when using different bioaccessibility methodologies.

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In vitro assays show promise for predicting arsenic relative bioavailability, though variations between methods and differences in gastric and intestinal phases affect accuracy, particularly for soils with low arsenic bioavailability.

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Area of Science:

  • Environmental Science
  • Toxicology
  • Analytical Chemistry

Background:

  • Arsenic (As) contamination in soils poses a significant environmental and health risk.
  • Accurate prediction of arsenic relative bioavailability (RBA) is crucial for risk assessment.
  • In vitro bioaccessibility (IVBA) assays are potential tools to estimate As RBA.

Purpose of the Study:

  • To evaluate the predictive capability of various in vitro bioaccessibility (IVBA) methodologies for arsenic (As) relative bioavailability (RBA).
  • To compare As RBA determined in a mouse assay with As bioaccessibility from multiple IVBA assays using contaminated soils.

Main Methods:

  • Nine As-contaminated soils and one NIST reference material were analyzed.
  • Arsenic bioaccessibility was determined using five IVBA methodologies: SBRC, IVG, PBET, DIN, and UBM.
  • Arsenic RBA was determined using a mouse assay.

Main Results:

  • Significant differences in As IVBA were observed within and between the tested methodologies.
  • No significant difference in the slopes was found when comparing in vivo As RBA with IVBA data from all tested methods.
  • A significantly smaller y-intercept was noted for the in vivo-SBRC gastric phase correlation, potentially impacting predictions for soils with low As RBA.

Conclusions:

  • While IVBA assays show potential for predicting As RBA, variability in methodologies and assay conditions can influence results.
  • The SBRC gastric phase assay may require adjustments for accurate prediction of As RBA, especially in low bioavailability scenarios.
  • Further research is needed to refine IVBA methods and account for inter-assay and inter-operator variability for improved in vivo-in vitro correlation.