Cell Cultivation Feedback Control for Biosimilar Quality
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Solution Overview
Problem
The production of biosimilars faces challenges in maintaining product quality due to variations in glycosylation patterns, disulfide bonds, and other parameters influenced by cell type, culture media, and process conditions, making it difficult to achieve similarity with branded molecules.
Innovation Solution
A cell cultivation system that involves taking liquid samples for analysis of system and product parameters, followed by real-time adjustment of process parameters and feeding inputs to maintain or change product quality, using techniques like Mass Spectrometry, HPLC, and Glycan Assay, and incorporating inhibitors and stimulators to control heterogeneity and productivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional cell culture processes are used for biosimilar production, then production capacity is maintained, but product quality consistency deteriorates due to variations in glycosylation patterns, disulfide bonds, and other parameters
Solution Approach 1:
The patent implements a feedback control system that continuously monitors product quality parameters (glycosylation patterns, disulfide bonds, C-terminal heterogeneity) and adjusts process parameters accordingly. This closed-loop approach ensures consistent product quality by real-time correction of deviations from target specifications, directly resolving the contradiction between maintaining production capacity and ensuring product quality consistency.
Solution Approach 2:
The patent systematically optimizes and controls multiple process parameters including temperature, pH, dissolved oxygen, feeding strategies, and incubation conditions. By precisely controlling these parameters and their interactions, the process achieves consistent product quality attributes (glycosylation, disulfide bonds) while maintaining production capacity, thereby resolving the quality consistency issue.
2Manufacturing precision
If multiple process parameters are optimized simultaneously, then product quality improves, but process complexity increases
Solution Approach 1:
The patent divides the complex optimization problem into separate, manageable factors by conducting systematic variable screening and factorial design experiments. This segmentation identifies the critical few parameters that have the most significant impact on product quality, allowing focused optimization on these key parameters rather than attempting to control all parameters simultaneously, thus reducing practical process complexity.
Solution Approach 2:
The patent establishes optimized ranges and setpoints for critical process parameters based on systematic experimentation. By defining specific target ranges for temperature, pH, DO, and feeding strategies, the process transforms complex multi-parameter optimization into straightforward parameter control within established boundaries, simplifying operation while maintaining high product quality.
3Productivity
If real-time monitoring and adjustment are implemented, then product quality and yield improve, but measurement and control difficulty increases
Solution Approach 1:
The patent implements feedback control for critical parameters including pH, dissolved oxygen, temperature, and feeding rates. Sensors continuously monitor these parameters and the system automatically adjusts process conditions to maintain optimal ranges, ensuring high yield and product quality while managing monitoring complexity through automated control rather than manual intervention.
Solution Approach 2:
The patent replaces complex manual monitoring and adjustment mechanisms with automated sensor-based detection and control systems. This substitution reduces the operational difficulty of real-time monitoring by using electronic sensors and automated feedback control, thereby achieving high productivity without proportionally increasing monitoring complexity.
Data Source
AI summary
The present invention relates to an operation process for a cell cultivation system, the cultivation system comprising two or more cultivation vessels for the production of at least one biologic agent and/or cell, which cultivation vessels comprise cells in a suitable cultivation medium, the process comprising the steps of taking two or more liquid samples from two or more or cultivation vessels, optionally, purifying the liquid samples, analyzing at least one sample to acquire data relating to at least one system parameter indicative for at least one of nutrient status and/or medium quality of the cultivation medium, or cell density, or cell viability and/or one product parameter indicative for biologic agent quality and/or cell quality, and, adjusting, preferably in real-time, at least one process parameter and/or at least one feeding input in at least one cultivation vessel of the cultivation system, or of a subsequent cultivation system.