Optimal experimental design based on global sensitivity analysis

Abstract The starting values considered for the model parameters strongly affect standard techniques for experimental design. When these values are far from the optimal ones, poor quality experiments are achieved or several steps are required resulting in a large experimental burden. Here, a novel criterion based on global sensitivity analysis, and therefore independent of the parameters values, is presented. In order to illustrate the performance of this methodology, a semicontinuous bioreactor is considered as a case study.