The high correlation between preexponential factors and activation energies is a severe drawback in the estimation of kinetic parameters. This difficulty is generally overcome using two different techniques, i.e., reparametrization and parameter separation. It has been demonstrated that in sequential experimental design the former technique can only occasionally lead to better numerical results, with no theoretical advantage over the non-reparametrized model. In this work we show that the separability property can be a convenient tool also for the optimization of experiment planning. A numerical example is considered, and both cases of constant absolute and relative errors are examined.