Integrated Bioreactor System for Multi-Stimulus Cell Culture Control
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Solution Overview
Problem
Existing bioreactors are unable to simultaneously combine mechanical, electrical, and magnetic stimulation, and lack integrated control systems for real-time monitoring of these stimuli, limiting their effectiveness in cell and tissue engineering applications.
Innovation Solution
An integrated bioreactor system with a computational platform for controlling and optimizing mechanical, electrical, and magnetic stimuli, featuring a plurality of electrodes/coils for adaptable stimulation and real-time monitoring, along with machine learning for continuous process improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple types of stimuli (mechanical, electrical, magnetic) are applied simultaneously, then the effectiveness of cell and tissue engineering is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple stimulation systems (mechanical perfusion, electrical stimulation via electrodes, and magnetic stimulation via coils) into a single integrated bioreactor device. This merging allows simultaneous application of different stimuli types without requiring separate devices, thereby improving engineering effectiveness while managing complexity through integration.
Solution Approach 2:
The bioreactor is designed with multi-functionality to perform mechanical perfusion, electrical stimulation, and magnetic stimulation within a single device. This universal design enables the device to address multiple cell stimulation needs simultaneously, improving the overall effectiveness of tissue engineering applications.
2Manufacturing precision
If real-time monitoring and control systems are integrated, then the optimization of stimulation parameters is improved, but the device complexity increases
Solution Approach 1:
The patent incorporates real-time monitoring systems with sensors that continuously measure stimulation parameters and cell responses. This feedback mechanism allows the control system to optimize stimulation parameters dynamically, improving manufacturing precision in terms of parameter control while managing complexity through automated feedback loops.
Solution Approach 2:
The integrated control system automatically adjusts and optimizes stimulation parameters based on real-time data from sensors and monitoring devices. This self-service capability reduces the need for manual intervention and complex external control systems, thereby improving parameter optimization while managing overall device complexity.
3Adaptability or versatility
If multiple electrodes and coils are used for adaptable stimulation, then the versatility of the bioreactor is improved, but the device complexity increases
Solution Approach 1:
The bioreactor employs multiple discrete electrodes and coils that can be independently controlled and activated. This segmentation allows the system to provide adaptable stimulation by activating specific components as needed, improving versatility while managing complexity through modular, independent elements rather than a monolithic system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient cell proliferation and differentiation by mimicking native biological conditions, allowing for real-time control and optimization of stimulation parameters, thereby enhancing tissue regeneration processes.
Implementation Method 1
external component (2), comprising an external surface (21) with a plurality of electrodes and/or coils (22)
Implementation Method 2
external component (2), comprising an external surface (21) with a plurality of electrodes and/or coils (22)
Implementation Method 3
integrated bioreactor system, which allows the optimization of the application of mechanical, electrical, and magnetic stimuli
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
The present invention describes an integrated bioreactor system (1), which comprises an external component (2), an internal component (3) and a support structure (4) which comprises a computational platform for control, learning and optimization of stimuli application. The present invention further describes a process for the control, learning and monitoring of cell culture using the referred integrated bioreactor system (1), which allows the optimization of the application of different stimuli to cells placed in three-dimensional models (36) located in the internal component (3), to mimic the native conditions of the biological tissue. This invention solves the problems referring to the need to optimize, control and monitor, in real time, the parameters involved in the stimulation of different cells in tissue engineering applications, thus reducing the time involved in differentiation and / or proliferation process, that are parameterizable for different cell lines.