Optimization and scale-up of oligonucleotide synthesis in packed bed reactors using computational fluid dynamics...

Area of Science:

• Chemical Engineering
• Biotechnology
• Computational Science

Background:

• Oligonucleotide synthesis is crucial for various biotechnological applications.
• Scaling up oligonucleotide synthesis in packed bed reactors presents significant challenges.
• Accurate modeling is needed to optimize process parameters and ensure efficient scale-up.

Purpose of the Study:

• To develop and validate a computational fluid dynamics (CFD) model for oligonucleotide synthesis in packed bed reactors.
• To utilize the CFD model for optimizing the scale-up of the oligonucleotide synthesis process.
• To assess the feasibility of large-scale production based on simulation.

Main Methods:

• Developed a CFD model incorporating reaction kinetics data under defined conditions.
• Validated the model against experimental data for flow conditions and reaction kinetics.
• Performed scale-up simulations from a 0.3 g capacity column to a 440 g capacity scale.

Main Results:

• The CFD model accurately predicted flow conditions and reaction kinetics.
• Model validation confirmed its reliability for process analysis.
• Scale-up simulations demonstrated the model's effectiveness in predicting performance at a larger scale.

Conclusions:

• The developed CFD model is a valuable tool for analyzing and optimizing oligonucleotide synthesis in packed bed reactors.
• The model facilitates efficient and reliable scale-up of the synthesis process.
• CFD modeling enables successful prediction of large-scale production performance.