  In this paper, we consider a class of slow-fast systems of stochastic partial
differential equations where the nonlinearity in the slow equation is not
continuous and unbounded. We first provide conditions that ensure the existence
of a martingale solution. Then we prove that the laws of the slow motions are
tight, and any of their limiting points is a martingale solution for a suitable
averaged equation. Our results apply to systems of stochastic
reaction-diffusion equations where the reaction term in the slow equation is
only continuous and has polynomial growth.
