Modeling and optimization of hairy root growth in fed-batch process.

Area of Science:

• Plant Biotechnology
• Biochemical Engineering
• Metabolic Engineering

Background:

• Hairy root cultures are valuable for producing secondary metabolites.
• Optimizing nutrient feeding is crucial for maximizing biomass production in bioreactors.
• Existing models often do not account for saturated intracellular nutrient pools.

Purpose of the Study:

• To develop and validate a kinetic model for hairy root growth under non-limiting nutrient conditions.
• To establish an optimized feeding strategy for enhanced biomass production.
• To implement and test control strategies for maintaining optimal nutrient levels.

Main Methods:

• A kinetic model was developed describing specific growth rate based on extracellular nutrient concentrations.
• Nutrient uptake was modeled as dependent on biomass growth.
• Shake flask cultures of Datura innoxia were used for model calibration.
• Bioreactor cultures were employed to validate the model and control strategies.

Main Results:

• The kinetic model accurately predicted hairy root growth.
• An optimized feeding strategy was determined to maintain optimal nutrient levels.
• Both open-loop (model prediction) and closed-loop (conductivity-based) control strategies were effective.

Conclusions:

• The proposed kinetic model and feeding strategy effectively enhance hairy root growth.
• This approach ensures nutrient availability, leading to improved biomass production.
• The validated model and control laws offer a robust method for plant cell culture optimization.