Presented
here is the first continuous separation of microparticles
and cells of similar characteristics employing linear and nonlinear
electrokinetic phenomena in an insulator-based electrokinetic (iEK)
system. By utilizing devices with insulating features, which distort
the electric field distribution, it is possible to combine linear
and nonlinear EK phenomena, resulting in highly effective separation
schemes that leverage the new advancements in nonlinear electrophoresis.
This work combines mathematical modeling and experimentation to separate
four distinct binary mixtures of particles and cells. A computational
model with COMSOL Multiphysics was used to predict the retention times
(t
R,p) of the particles and cells in iEK
devices. Then, the experimental separations were carried out using
the conditions identified with the model, where the experimental retention
time (t
R,e) of the particles and cells
was measured. A total of four distinct separations of binary mixtures
were performed by increasing the level of difficulty. For the first
separation, two types of polystyrene microparticles, selected to mimic Escherichia coli and Saccharomyces
cerevisiae cells, were separated. By leveraging the
knowledge gathered from the first separation, a mixture of cells of
distinct domains and significant size differences, E. coli and S. cerevisiae, was successfully separated. The third separation also featured
cells of different domains but closer in size: Bacillus
cereus versus S. cerevisiae. The last separation included cells in the same domain and genus, B. cereus versus Bacillus subtilis. Separation results were evaluated in terms of number of plates
(N) and separation resolution (R
s), where R
s values for all
separations were above 1.5, illustrating complete separations. Experimental
results were in agreement with modeling results in terms of retention
times, with deviations in the 6–27% range, while the variation
between repetitions was between 2 and 18%, demonstrating good reproducibility.
This report is the first prediction of the retention time of cells
in iEK systems.