title: Characterization of voltage degradation in dynamic field gradient focusing.
abstract: Dynamic field gradient focusing (DFGF) is an equilibrium gradient method that utilizes an electric field gradient to simultaneously separate and concentrate charged analytes based on their individual electrophoretic mobilities. This work describes the use of a 2-D nonlinear, numerical simulation to examine the impact of voltage loss from the electrodes to the separation channel, termed voltage degradation, and distortions in the electric field on the performance of DFGF. One of the design parameters that has a large impact on the degree of voltage degradation is the placement of the electrodes in relation to the separation channel. The simulation shows that a distance of about 3 mm from the electrodes to the separation channel gives the electric field profile with least amount of voltage degradation. The simulation was also used to describe the elution of focused protein peaks. The simulation shows that elution under constant electric field gradient gives better performance than elution through shallowing of the electric field. Qualitative agreement between the numerical simulation and experimental results is shown. The simulation also illustrates that the presence of a defocusing region at the cathodic end of the separation channel causes peak dispersion during elution. The numerical model is then used to design a system that does not suffer from a defocusing region. Peaks eluted under this design experienced no band broadening in our simulations. Preliminary experimental results using the redesigned chamber are shown.
authors.affiliation: School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA.
authors.forename: Jeffrey M
authors.initials: JM
authors.lastname: Burke
authors.forename: Cornelius F
authors.initials: CF
authors.lastname: Ivory
mesh_terms: D003198:Computer Simulation; D004560:Electricity; D007525:Isoelectric Focusing / Q000295:instrumentation / Q000379:methods*; D008962:Models, Theoretical