Metabolic Reaction Network-Based Model Predictive Control of Bioprocesses

Bioprocesses are increasingly used for the production of high added value products. Microorganisms in bioprocesses to mediate or catalyze necessary reactions. This makes highly nonlinear and governing mechanisms complex. These complex can be modeled by a metabolic network that comprises all interactions within cells microbial population present bioprocess. The current state art bioprocess control is model predictive based on use macroscopic models, solely accounting substrate, biomass, product mass balances. models do not account underlying observed process behavior. Consequently, opportunities missed fully exploit available knowledge operate more sustainable manner. In this article, procedure presented network-based control. uses combined moving horizon-model strategy monitor flux optimize under study. A CSTR bioreactor has been with small-scale illustrate performance procedure.