Design, Optimization, and Adaptive Control of Cell Culture Seed Trains

Area of Science:

• Biopharmaceutical Manufacturing
• Cell Culture Technology
• Process Optimization

Background:

• The seed train (or inoculum train) is crucial for generating sufficient cells for biopharmaceutical production bioreactors.
• This process is resource-intensive, presenting significant opportunities for optimization.
• Current methods lack comprehensive strategies for efficient seed train design and management.

Purpose of the Study:

• To introduce a novel method for seed train mapping, directed modeling, and simulation.
• To optimize seed train protocols based on defined criteria, such as optimal cell passaging times.
• To provide a versatile tool applicable to new plant transfers, new cell line designs, and clone selection.

Main Methods:

• Development of a seed train mapping protocol.
• Application of directed modeling and simulation for process analysis.
• Integration of optimization criteria for refining cell passaging strategies.

Main Results:

• Demonstrated optimization of seed train protocols, including identification of optimal cell passaging points.
• Validated applicability for transferring seed trains between production sites.
• Showcased utility in designing new seed trains for novel cell lines and selecting optimal clones for bioprocesses.

Conclusions:

• The described method offers a powerful approach to optimize seed train processes in biopharmaceutical manufacturing.
• This modeling and simulation strategy enhances efficiency, reduces costs, and supports robust process design.
• The methodology is broadly applicable to various cell lines, including suspension and adherent types.