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Microprocessor-based integration of microfluidic control for the implementation of automated sensor monitoring and
Elishai Ezra1, Idan Maor, Danny Bavli
1Grass Center for Bioengineering, The Hebrew University of Jerusalem, Edmond J. Safra Campus, 91904, Jerusalem, Israel.
Biomedical Microdevices
|August 1, 2015
Summary
A new microprocessor control unit integrates diverse microfluidic components, enabling synchronized digital and analog signals for complex experiments. This system automates perfusion sequences and optimization protocols for enhanced microfluidic applications.
Area of Science:
- Microfluidics
- Biotechnology
- Automation
Background:
- Microfluidic systems require integrated control for diverse components like valves and sensors.
- Current discrete control units hinder data integration and synchronization in microfluidic applications.
Purpose of the Study:
- To develop a unified microprocessor-based control unit for microfluidic systems.
- To enable synchronized control of analog and digital signals for perfusion, pressure, and sensors.
- To facilitate local and remote operation of microfluidic experiments.
Main Methods:
- Utilized the MS Gadgeteer open framework for a plug-and-play interface.
- Integrated a high-current electronic circuit supporting digital and analog signals.
- Developed an equi-pressure combinatorial mixer to test system integration.
- Implemented automated optimization protocols using genetic algorithms and simulated annealing.
Main Results:
- Demonstrated synchronized control of perfusion components, pressure elements, and various sensor protocols.
- Successfully generated complex perfusion sequences for automated sensor calibration and monitoring.
- Automated optimization of an electrochemical lactate sensor for hepatocyte viability assessment.
- Integrated optical sensors to implement advanced computational optimization strategies.
Conclusions:
- The developed control unit offers a comprehensive solution for complex microfluidic circuits.
- Enables seamless integration and synchronization of diverse microfluidic components and protocols.
- Facilitates automated optimization and perfusion sequencing for advanced microfluidic applications.
