Abstract
The Front Cover shows a ‘smart’ statistic program that helps a researcher to navigate through complexity of practical catalytic systems and project a route to reliable and rapid assessment of kinetic parameters with resource-efficient experimentations. In their Full Paper, R. K. A. van Schendel, W. Yang et al. combine the design of experiment approach with statistical analysis to provide a range of descriptive bias-free kinetic models for a representative ketone hydrogenation system. By equating the regression equations and derived coefficients of these models, the approach readily yields the key kinetic parameters, captures different reaction regimes, and maps the response of the observed reaction rate to various condition parameters of the reaction system. More information can be found in the Full Paper by R. K. A. van Schendel, W. Yang et al.
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