Perfusion Cell Culture System with Dynamic Parameter Control
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Solution Overview
Problem
In perfusion cell culture, maintaining consistent environmental conditions such as dissolved oxygen levels, pH, and nutrient supply is challenging, leading to variations in cell density and batch-to-batch inconsistencies, which can result in decreased yield and potential batch loss.
Innovation Solution
A cell culture system comprising a culture tank, an information processing system, and a controller that stores and sets operation conditions for each step of the culture process, using in-line sensors and offline analysis to maintain optimal parameters through feedback and feedforward control, ensuring stable operations despite variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If perfusion culture is used to maintain high cell density, then production speed per hour increases, but batch-to-batch variations occur due to difficulty in controlling multiple parameters
Solution Approach 1:
The system dynamically adjusts multiple culture parameters (perfusion rate, bleed rate, medium composition, pH, dissolved oxygen, temperature) based on real-time cell density measurements and predefined control ranges. This automated parameter adjustment resolves the contradiction by maintaining optimal conditions for high productivity while ensuring batch-to-batch consistency through systematic control.
Solution Approach 2:
The system implements feedback control by continuously monitoring cell density, culture fluid volume, and other critical parameters, then automatically adjusting perfusion and bleed rates to maintain cells within target density ranges. This feedback mechanism ensures reliable, consistent results across batches while sustaining high production speeds.
2Productivity
If cell density is increased to improve production efficiency, then yield per unit time increases, but control of dissolved oxygen and nutrient levels becomes difficult
Solution Approach 1:
The system enables self-service operation by automatically controlling perfusion rates, bleed rates, and medium supplementation based on real-time measurements of cell density, dissolved oxygen, pH, and nutrient levels. This automation resolves the contradiction by making high-density culture easy to operate while maintaining high productivity through continuous self-adjustment.
Solution Approach 2:
The system dynamically adjusts culture parameters in response to changing cell density and metabolic conditions. As cell density increases, the system automatically modifies perfusion and bleed rates to maintain optimal dissolved oxygen and nutrient levels, resolving the contradiction between high productivity and ease of operation.
3Ease of manufacture
If manual culture operations are performed during scale-up, then cells are prepared for production, but variations between batches occur due to manual handling
Solution Approach 1:
The system replaces manual mechanical operations with automated electronic control for scale-up processes. Automated cell counting, density measurement, and parameter adjustment eliminate human variability, resolving the contradiction between scale-up capability and batch consistency by substituting manual handling with precision instrumentation and control algorithms.
Data Source
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AI summary
Stable operations can be performed even when a variation occurs between batches in perfusion culture. A cell culture system includes a culture tank for culturing cells, an information processing system that processes various pieces of information on the culture of the cells in the culture tank, and a controller that controls a culture step by the culture tank. The information processing system stores an operation condition in each of a plurality of steps constituting the culture step of the cells, stores a step transition condition for transition to a next step, and sets an operation condition for the next step when the step transition condition is satisfied during performing one step.