IRSST - Institut de recherche Robert-Sauvé en santé et en sécurité du travail

Biological monitoring of mixed exposures in the workplace: Development of models to facilitate the interpretation of exposure data

Abstract

Given the virtually unlimited number of products, it is for all practical purposes impossible to test every product and combination of products. An alternate solution to this problem is the use of computer models that mimic the behaviour of specific substances in the human body. Using validated models of this type, it is possible to test multiple exposure scenarios and predict the effects of these scenarios on the results of biological monitoring of workers.

The objective of this project was to develop models that simulate exposure to solvent mixtures, predict the effect of such exposures on biological monitoring end-points, and facilitate the interpretation of data obtained from the biological monitoring of mixed exposures.

The models developed simulate the interaction of human metabolites produced by exposure to ten solvent mixtures and shed light on the influence of several factors on metabolic interactions. In addition, the study demonstrated the utility of modelling to predict the influence of metabolic interactions on the level of biological markers and establish exposure limits for solvent mixtures.

Additional Information

Type: Project
Number: 0092-0090
Status: Completed
Team:
  • Robert Tardif (Université de Montréal)
  • Jules Brodeur (Université de Montréal)