Abstract
The fitting of reaction models consisting of elementary reaction steps to experimental data constitutes a method for verification of the reaction models and the possibility of finding the kinetic parameters of a system. However, due to the complexity that easily arises due to numerous reaction steps, it is notoriously difficult to pose a problem and optimize it to a single solution. Therefore, the successful fitting of a reaction model is not proof since several models can potentially be fit successfully to the same experimental dataset. A possible solution to this problem is to fit the reaction models to one dataset and verify the results by using a complementary experimental technique under the same conditions. Dynamic electrochemical impedance spectroscopy (dEIS) is uniquely suited for such an approach. In this work, a method for fitting and optimizing kinetic parameters in a reaction mechanism to experimental data from cyclic voltammetry is described. Subsequently, the optimized kinetic parameters are used to calculate corresponding dEIS results. Methanol oxidation on Pt at elevated temperatures is used as an example of the application of this method.
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