Influence of varying electroosmotic flow on the effective diffusion in electric field gradient separations.
Recently the use electric field gradient focusing (EFGF) to enhance focusing of proteins has been proposed and explored to provide significant improvement in separation resolution. The objective of EFGF is to focus proteins of specific electrophoretic mobilities at distinct stationary locations in a column or channel. This can be accomplished in a capillary by allowing the electric potential to vary in the streamwise direction. Because the electric field is varying, so also is the electrokinetic force exerted on the proteins and the electroosmotic velocity of the buffer solution. Due to the varying electric field, the Taylor diffusion characteristics will also vary along the column, causing a degradation of peak widths of some proteins, dependent on their equilibrium positions and local velocity distributions. The focus of this paper is an analysis that allows characterization of the local Taylor diffusion and resulting protein band peak width as a function of the local magnitude of the EOF relative to the average fluid velocity for both cylindrical and rectangular channels. In general the analysis shows that as the ratio of the local electroosmotic velocity to the average velocity deviates from unity, the effective diffusion increases significantly. The effectiveness of EFGF devices over a range of protein diffusivities, capillary diameters, flow velocities, and electric field gradient is discussed.
Maynes
Daniel
D
Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA. maynes@byu.edu
Tenny
Joseph
J
Webbd
Brent W
BW
Lee
Milton L
ML
D004058:Diffusion; D053841:Electroosmosis / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data; D019075:Electrophoresis, Capillary / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data; D004867:Equipment Design; D044085:Microfluidics / Q000295:instrumentation / Q000379:methods / Q000706:statistics & numerical data; D008962:Models, Theoretical; D011506:Proteins / Q000302:isolation & purification*
D011506:Proteins