4.8 Article

High-Resolution Charge-Based Electrokinetic Separation of Almost Identical Microparticles

Journal

ANALYTICAL CHEMISTRY
Volume 94, Issue 17, Pages 6451-6456

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.2c00355

Keywords

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Funding

  1. National Science Foundation [CBET-1705895, CBET-2127592]

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This study reports a charge-based microparticle separation technique that can achieve separation even with a small difference in particle zeta potentials of only 3.6 mV (less than 10% of the difference in previous studies). By building an accurate COMSOL Multiphysics model and experimental verification, the feasibility and reproducibility of highly similar microparticle separation were demonstrated.
Well-established techniques, e.g., chromatography and capillary electrophoresis, are available for separating nanosized particles, such as proteins. However, similar techniques for separating micron-sized particles are still needed. Insulator-based electrokinetic (iEK) systems can achieve efficient microparticle separations by combining linear and nonlinear EK phenomena. Of particular interest are charge-based separations, which could be employed for separating similar microorganisms, such as bacterial cells of the same size, same genus, or same strain. Several groups have reported charge-based separations of microparticles where a zeta potential difference of at least 40 mV between the microparticles was required. The present work pushes the limit of the discriminatory capabilities of iEK systems by reporting the charged-based separation of two microparticles of the same size (5.1 mu m), same shape, same substrate material, and with a small difference in particle zeta potentials of only 3.6 mV, which is less than 10% of the difference in previous studies. By building an accurate COMSOL Multiphysics model, which correctly accounts for dielectrophoresis and electrophoresis of the second kind, it was possible to identify the conditions to achieve this challenging separation. Furthermore, the COMSOL model allowed predicting particle retention times (t(R,p)) which were compared with experimental values (t(R,e)). The separations results had excellent reproducibility in terms of t(R,e) with variations of only 9% and 11% between repetitions. These findings demonstrate that, by following a robust protocol that involves modeling and experimental work, it is possible to discriminate between highly similar particles, with much smaller differences in electrical charge than previously reported.

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