High-Resolution Charge-Based Electrokinetic Separation of Almost Identical Microparticles
Alaleh Vaghef-Koodehi1, Curran Dillis1, Blanca H Lapizco-Encinas1
1Microscale Bioseparations Laboratory and Biomedical Engineering Department, Rochester Institute of Technology, 160 Lomb Memorial Drive, Rochester, New York 14623, United States.
This study demonstrates insulator-based electrokinetic systems can separate highly similar microparticles based on minute charge differences. This advance enables finer discrimination of particles like bacterial cells using advanced modeling and experimental techniques.
Area of Science:
- Microfluidics
- Biophysics
- Analytical Chemistry
Background:
- Existing nanosized particle separation techniques are insufficient for micron-sized particles.
- Insulator-based electrokinetics (iEK) shows promise for microparticle separation.
- Charge-based separation of similar microorganisms is highly desirable but challenging.
Purpose of the Study:
- To develop and validate a method for separating highly similar microparticles with minimal zeta potential differences.
- To push the discriminatory capabilities of iEK systems beyond previously reported limits.
- To demonstrate the utility of computational modeling in achieving challenging particle separations.
Main Methods:
- Utilized insulator-based electrokinetic (iEK) systems for microparticle separation.
- Employed COMSOL Multiphysics modeling to account for dielectrophoresis and electrophoresis.
- Validated model predictions by comparing calculated retention times with experimental data.
Main Results:
- Achieved charge-based separation of 5.1 μm microparticles with a zeta potential difference as low as 3.6 mV.
- Demonstrated that iEK systems can discriminate particles with charge differences <10% of those reported previously.
- Obtained highly reproducible separation results with minimal variation in retention times (9-11%).
Conclusions:
- iEK systems, guided by accurate computational modeling, can effectively separate highly similar microparticles.
- This technique significantly advances the ability to differentiate particles based on subtle electrical charge variations.
- The findings pave the way for improved separation of challenging biological entities like bacterial cells.
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