Sawmill workers in British Columbia (B.C.), Canada, have been exposed to chlorophenate fungicides which are known to be contaminated with polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs).
Due to concern about the potential of these workers to have significant body burdens of PCDD/Fs, and the absence of measurements in these workers, a single-compartment pharmacokinetic model was developed to estimate the concentration of PCDD/Fs in the fat tissue of the sawmill workers.
Data from a large cohort of B.C. sawmill workers and literature-based data on chlorophenate exposures and PCDD/F concentrations in chlorophenates were used in Monte Carlo simulations to predict a PCDD/F body burden distribution.
The median concentrations of HxCDF and HpCDF predicted using the model for the B.C. sawmill worker population exceeded the range measured in unexposed populations.
PeCDF and OCDF concentrations exceeded the range measured in unexposed populations at the 70th percentile of the model-predicted distribution, and PeCDD at the 90th percentile.
The primary limitation of the model was the scarcity of input data about actual dermal and inhalation exposures to chlorophenates.
Mots-clés Pascal : Prédiction, Modèle cinétique, Accumulation biologique, Toxicocinétique, Tissu adipeux, Homme, Canada, Amérique du Nord, Amérique, Exposition professionnelle, Médecine travail, Industrie bois, Scierie, Polluant, Dibenzo-p-dioxine(polychloro), Chlore Composé organique, Dibenzofurane(polychloro), Composé aromatique, Impureté, Fongicide, Pesticide, Halogénophénols, Phénolate, Inhalation, Voie percutanée, Voie externe, Simulation numérique, Méthode Monte Carlo
Mots-clés Pascal anglais : Prediction, Kinetic model, Biological accumulation, Toxicokinetics, Adipose tissue, Human, Canada, North America, America, Occupational exposure, Occupational medicine, Wood industry, Saw mill, Pollutant, Chlorine Organic compounds, Aromatic compound, Impurity, Fungicide, Pesticides, Halophenols, Phenolate, Inhalation, Percutaneous route, Topical administration, Numerical simulation, Monte Carlo method
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0024453
Code Inist : 002B03G. Création : 21/05/1997.