  In this paper we consider a class of piecewise-deterministic Markov processes
(PDMPs) modeling the quantity of a given food contaminant in the body. On the
one hand, the amount of contaminant increases with random food intakes and, on
the other hand, decreases thanks to the release rate of the body. Our aim is to
provide quantitative speeds of convergence to equilibrium for the total
variation and Wasserstein distances via coupling methods.
