Deconvolution is essential for accurately interpreting experimental data. In catalytic systems, multiple species often contribute to the overall signal, making it difficult to distinguish their individual effects. By deconvoluting the data, researchers can obtain a clearer picture of the reaction kinetics, identify active sites, and optimize catalyst design.
