Kinetic Modeling of Pichia pastoris Bioreactor Systems Under Different Operating Conditions: Batch, Fed-Batch, and...

Area of Science:

• Biotechnology
• Biochemical Engineering
• Microbial Physiology

Background:

• Mathematical modeling is crucial for understanding and optimizing microbial behavior in bioreactors.
• Komagataella phaffii is a key yeast for recombinant protein production, requiring precise control for efficient expression.

Purpose of the Study:

• To present a systematic protocol for constructing kinetic models of Komagataella phaffii.
• To explore different bioreactor operation modes (batch, fed-batch, continuous) and substrate regimes.
• To integrate intracellular enzyme synthesis, specifically alcohol oxidase, into the models.

Main Methods:

• Development of mathematical models encompassing intracellular and extracellular components.
• Simulation of Komagataella phaffii dynamics under various operational conditions.
• Analysis of specific variable behaviors like biomass accumulation and steady-state productivity.

Main Results:

• Illustrative examples demonstrate model behavior across different operation modes.
• Simulations highlight key differences in biomass dynamics (fed-batch) and productivity (chemostat).
• The models successfully incorporate methanol utilization with supplementary substrates (glycerol, sorbitol) and alcohol oxidase synthesis.

Conclusions:

• The developed kinetic models provide a robust framework for Komagataella phaffii process optimization and control.
• The systematic protocol facilitates the construction of tailored models for specific bioprocessing needs.
• Understanding intracellular and extracellular dynamics is key to maximizing bioprocess efficiency.