Optimization of Microfluidics for Point-of-Care Blood Sensing.
Amirmahdi Tavakolidakhrabadi1, Matt Stark1, Ulrike Bacher2
1Department of Engineering and Computer Science, Bern University of Applied Sciences, Quellgasse 21, 2501 Biel, Switzerland.
Biosensors
|June 26, 2024
Summary
Researchers developed passive microfluidic devices using capillary structures for rapid blood sample processing. Optimized pillar shapes enable fast uptake of whole blood for point-of-care testing without bulky pumps.
Area of Science:
- Biomedical Engineering
- Microfluidics
- Analytical Chemistry
Background:
- Point-of-care (PoC) blood testing is crucial for remote diagnostics.
- Current PoC devices often require active pumps, increasing cost and size.
- Efficient processing of small blood volumes is needed for portable diagnostics.
Purpose of the Study:
- To investigate capillary structures for passive, pump-free processing of whole blood.
- To optimize microfluidic chip design for rapid blood sample uptake.
- To enable faster and more accessible blood testing at the point of care.
Main Methods:
- Simulated capillary pump pillar shapes using Ansys Fluent for optimal blood uptake.
- Fabricated microfluidic chips from polydimethylsiloxane (PDMS) and polyethylene oxide (PEO).
- Experimentally measured chip filling times using water and whole blood.
Main Results:
- Pillar shape significantly influences chip filling time; high aspect ratio structures showed faster uptake.
- Fabricated chips achieved uptake times of 24 s for water and 111 s for 2 μL whole blood.
- Simulation of blood plasma deviated by ~35% from experimental results, highlighting cell-induced effects.
Conclusions:
- Passive capillary structures offer a viable alternative to active pumps for microfluidic blood sample processing.
- Optimized pillar geometry is key for efficient fluid handling in microfluidic devices.
- This research provides insights for designing advanced passive microfluidic systems for whole blood analysis in sensing applications.
Keywords:
biomedical sensorscapillary-driven systemscomputational modelinglab-on-a-chip devicesmicrofluidicsmicroscale fluid transportpoint-of-care blood sensing

