A new approach for modelling and optimizing batch enzymatic proteolysis

In this manuscript, an original approach is described for modelling and optimizing batch enzymatic proteolysis. It was the first time that a multicriteria optimization methodology of proteolysis integrates cost reaction duration proposed. First, simulation procedure developed to predict kinetics protein conversion rate degree hydrolysis at any set pH, temperature, Enzyme/Substrate ratio conditions. This achieved by hybrid based on second order kinetic models design experiments methodology. The applicability positively validated with rapeseed albumins Alcalase 2.4L. ANOVA analysis showed both were reliable (R2 kXp = 0.95; kDH 0.85) no significant lack fit observed (p-value < 0.05). also good 0.05) correlations between experimental predicted values two other proteases in existing mechanisms. A generic tool then applied search best duration/ trade-offs. equations implemented genetic-evolutionary algorithm generate Pareto’s front (duration/ trade-offs) domain (corresponding sets operating conditions). offers attractive industrial reduce important costs produce hydrolysate interest. easy-to-use would present advances process implementation.