Modular Microfluidic Bioreactor Network for Parallel Perfusion
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Solution Overview
Problem
Current bioreactor systems are not suitable for scaling to thousands of channels and lack high parallel fluidic automation, making them inefficient for large-scale in vitro cell culture and biomanufacturing applications.
Innovation Solution
A fluidic system comprising a network of pumps, valves, and reservoirs that allows for parallel operation of multiple bioreactors, chemostats, and organ-on-chip systems, enabling controlled perfusion, sampling, and media replacement across numerous modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional bioreactor systems are used, then individual bioreactor operation is maintained, but scaling to thousands of channels and high parallel fluidic automation is not achieved
Solution Approach 1:
The system divides the fluidic control into modular segments: a master controller that manages overall system operations and individual module controllers that manage specific bioreactor groups. This segmentation allows scaling to thousands of channels by adding modular units rather than redesigning the entire system, resolving the contradiction between productivity and complexity.
Solution Approach 2:
The fluidic system employs universal components that can serve multiple functions: the same pump and valve architecture controls both perfusion and sampling; the master controller communicates with all module controllers using a standardized protocol. This multi-functionality enables the system to handle thousands of bioreactors without proportionally increasing complexity.
2Productivity
If manual media replacement is performed, then simple operation is maintained, but efficiency and accuracy for large-scale experiments is reduced
Solution Approach 1:
The system implements self-service automation where the fluidic system automatically performs media replacement, sampling, and perfusion without manual intervention. The master controller schedules and executes these operations based on experimental parameters, enabling high throughput while maintaining simple operation through automated decision-making algorithms.
Solution Approach 2:
The system incorporates feedback mechanisms where sensors monitor bioreactor conditions (pH, dissolved oxygen, cell density) and automatically adjust media replacement timing and sampling frequency. This closed-loop control increases both productivity and automation level by enabling the system to self-regulate based on real-time conditions.
3Reliability
If batch culture with media replacement every 24 hours is used, then simple protocol is maintained, but physiological realism and pharmacokinetic simulation are not achieved
Solution Approach 1:
The system implements periodic perfusion cycles that simulate physiological conditions by alternating between different media compositions and flow rates. This periodic action enables pharmacokinetic simulation by creating controlled fluctuations in nutrient and drug concentrations that mimic in vivo conditions, increasing physiological realism while using programmable control to manage complexity.
Solution Approach 2:
The perfusion system transitions from static batch culture to dynamic continuous perfusion with variable flow rates and media compositions. This dynamics enables realistic physiological simulation by allowing continuous adjustment of environmental parameters to match in vivo conditions, while the automated control system manages the increased complexity through algorithmic regulation.
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
The system enables efficient control and analysis of large arrays of bioreactors and organ-on-chip systems, allowing for realistic simulation of physiological conditions and pharmacokinetic profiles, thereby enhancing the efficiency and accuracy of biological experiments and biomanufacturing processes.
Implementation Method 1
a first pump, wherein the first pump is fluidically coupled between the systemic circulation and mixing reservoir and the fluid distribution network for withdrawing media from the systemic circulation and mixing reservoir and delivering the media to the fluid distribution network
Implementation Method 2
a second pump, wherein the second pump is fluidically coupled between the fluid collection and sampling network and a sample vial for withdrawing effluent of the plurality of fluidic modules from the fluid collection and sampling network and delivering the effluent to one or more sample vials
Data Source
AI summary
A fluidic system includes a systemic circulation and mixing reservoir, at least one flow bus, and at least one pump, fluidically coupled to one another, creating a fluidic network therewith; a delivering means fluidically coupled to the at least one pump; and a plurality of fluidic modules, each fluidic module having an input port fluidically coupled to the delivering means, and an output port fluidically coupled to one of the at least one flow bus. In operation, the at least one pump withdraws media from the systemic circulation and mixing reservoir and delivers the media to the delivering means that in turn delivers the media to the plurality of fluidic modules individually, and then the effluent of the plurality of fluidic modules is delivered to the systemic circulation and mixing reservoir through said one of the at least one flow bus.