Online Monitoring of Plant Cell Cultures Using Laser-Induced Endogenous Biomarkers and Direct Observers

摘要

Monitoring and control of bioprocesses are generally hard to implement due to a lack of online and reliable information on cell culture variables. An algorithm combining measurements of biomass and cell concentrations through endogenous biomarkers with a predictive model and a trajectory reference-based observer is developed and validated using plant cell cultures. This algorithm enables the monitoring of unmeasured variables such as nutrient consumption and fixation. As a result, this algorithm would be utilized to implement new operational strategies such as avoiding nutrient limitations.