AFM1 exposure in the french population via milk products consumption using Monte Carlo simulations
Abstract
Population exposure assessments to food contaminants are used to determine if there is a threat for human health. Exposure is calculated by multiplying for each individual the consumption by the contamination level and dividing by the body weight. Aflatoxin M1 exposure is calculated thanks to a probability method based upon the Monte Carlo technique. Contrarily to a deterministic approach, it enables to generate probability density functions of exposure levels. The Monte Carlo technique is used to estimate the effect of variability on the outputs of models which use a variety of input parameters. We found a mean exposure level of 0.2-03 ng/kg of body weight per day, with 95% of the population having an exposure level inferior to 0.07-0.09 ng/kg b.w./d.