Downstream Quality Sensing for Bioprocess Purification Control
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Solution Overview
Problem
Current bioprocess purification systems lack real-time optimization of the cell culture process to ensure the desired quality of the target product is achieved in the downstream process, leading to inefficiencies and suboptimal production outcomes.
Innovation Solution
A method for optimizing the bioprocess purification system by detecting quality attributes in the downstream process, identifying correlations with bioreactor parameters, and controlling the cell culture process to meet desired product characteristics, using a combination of sensors and automation to adjust parameters such as temperature, aeration, and nutrient feed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If off-line sampling and analysis is used to monitor product quality, then measurement precision can be achieved, but loss of time occurs due to the delay in obtaining quality data
Solution Approach 1:
The patent replaces mechanical/off-line sampling methods with optical sensing technology. Optical sensors are integrated into the bioreactor to continuously measure product quality attributes (such as cell density, product concentration, and metabolic parameters) in real-time, eliminating the need for time-consuming off-line sampling and laboratory analysis while maintaining measurement precision.
Solution Approach 2:
The patent implements continuous monitoring of product quality through integrated optical sensors that operate throughout the bioprocess. This continuous measurement approach ensures that quality data is always available, enabling real-time process adjustments without the interruptions and delays associated with periodic off-line sampling.
2Productivity
If real-time quality detection in downstream process is implemented, then productivity is improved through real-time optimization, but device complexity increases due to additional sensors and control systems
Solution Approach 1:
The patent employs optical sensors that serve multiple functions: they measure product quality attributes, monitor cell culture health, detect process deviations, and provide data for real-time control decisions. This multi-functionality reduces the need for separate specialized sensors and systems, thereby limiting the increase in device complexity while achieving real-time optimization.
Solution Approach 2:
The patent implements a feedback control system where real-time quality data from optical sensors is processed and used to automatically adjust bioprocess parameters such as feed rate, aeration, and agitation. This closed-loop feedback mechanism enables real-time optimization that improves productivity while the automation reduces the operational complexity burden.
3Manufacturing precision
If correlations between downstream quality attributes and upstream bioreactor parameters are established, then manufacturing precision is improved through better process control, but loss of information occurs during the complex data processing and correlation analysis
Solution Approach 1:
The patent performs preliminary data processing and correlation analysis during the process development phase, establishing predictive models that relate downstream quality attributes to upstream bioreactor parameters. These pre-established correlations are then applied during actual production, reducing the computational burden and information loss that would occur if complex real-time correlation analysis were performed during the bioprocess itself.
Data Source
AI summary
The present invention relates to a method for optimizing a bioprocess purification system comprising a bioreactor configured to provide a harvest comprising a target composition, and a purification process arranged downstream the bioreactor and being configured for purification of the harvest to produce a target product having a desired characteristics. The method comprising: a) detecting (32) at least one quality attribute indicative of characteristics of the target product in a downstream process, b) identifying (33) correlations between the at least one quality attribute measured in the downstream process and parameters to control a cell culture process in the bioreactor, and c) controlling (34) the cell culture process to meet the desired characteristics based on the identified correlations, whereby the target characteristics is within a p re-determined range.