As mentioned earlier Eq. (6) is a general equation and no assumptions are made on the way samples are heated; the procedure presented here is valid for any data obtained under any experimental conditions. In order to test the validity of the method for analyzing data obtained under different experimental conditions, a set of three curves (Fig. 4) has been simulated assuming in all cases an A3 (n ? 3) kinetic model and the following kinetic parameters: A 104min?1, E 80 kJmol?1. One curve has been simulated assuming linear heating rate conditions (10 Kmin?1), another curve has been constructed supposing isothermal conditions at T ? 800 K and, finally, the last curve has been simulated assuming a modulated-temperature program where b 1 Kmin?1, B 2 Kmin?1, and x 2 min?1. The optimization procedure yielded a maximum Pearson?s coefficient (r ? 1:00000) for n ? 3. The plot of the left-hand side of Eq. (6) versus the reciprocal of temperature for the n coefficient (n ? 3) obtained from the optimization procedure is shown in Fig. 5. All points are on a straight line as expected for a correlation coefficient of 1.00000. From this plot, it was obtained an activation energy E ? 80 kJmol?and a pre-exponential factor of Arrhenius A ? 104min?1that were coincident with those assumed in the calculation with an error lower than10?%.In summary,these results show that any set of a–da=dt–T obtained under any experimental conditions could be analyzed by means of the procedure presented above yielding the correct kinetic parameters.