A probabilistic model for the carry-over of PCDD/Fs from feed to growing pigs

Chemosphere. 2013 Sep;93(3):474-9. doi: 10.1016/j.chemosphere.2013.06.015. Epub 2013 Jul 18.

Abstract

When food producing animals are contaminated with PCDD/F congeners, information on the contaminant's concentration in the bodies of the animals at time of slaughter is needed for risk management purposes. We have developed a mathematical model for the kinetics of PCDD/Fs in growing pigs in case of contaminated feed fed for a limited duration of time. This model allows the prediction of concentrations in body fat. It considers absorption fractions of PCDD/Fs, clearance by metabolism, dilution by growth and excretion through fecal fat. The model parameters were calibrated by fitting the model to experimental data. On the basis of this toxicokinetic model a probabilistic model has been constructed. The probabilistic model handles the parameters with appropriate probability distributions and Monte-Carlo simulation technique, providing for realistic situations with many animals and a range of contaminations and feeding intervals. We applied the new model to describe the German dioxin incident of winter 2010/2011 and discuss its viability as decision tool. The approach demonstrated here is a showcase how a risk assessment in the case of contaminated feeding can be performed.

Keywords: Carry-over; Growing pigs; Kinetic model; Monte-Carlo simulation; PCDD/F.

Publication types

  • Evaluation Study

MeSH terms

  • Adipose Tissue / metabolism
  • Animal Feed / analysis
  • Animals
  • Dioxins / analysis
  • Dioxins / metabolism*
  • Dioxins / toxicity*
  • Environmental Exposure*
  • Environmental Monitoring / methods*
  • Environmental Pollutants / analysis
  • Environmental Pollutants / metabolism*
  • Environmental Pollutants / toxicity*
  • Food Contamination
  • Models, Biological
  • Models, Statistical
  • Monte Carlo Method
  • Pharmacokinetics
  • Risk Assessment
  • Sensitivity and Specificity
  • Sus scrofa / metabolism*

Substances

  • Dioxins
  • Environmental Pollutants