Determining the optimal number of samples generally involves a combination of statistical analysis and practical considerations. Statistical tools, such as power analysis, can help estimate the minimum number of samples needed to detect an effect with a given level of confidence. Practical considerations include the availability of resources, time constraints, and the specific requirements of the catalytic system under study.
