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Related Experiment Videos

Analytical equilibrium gradient methods.

Qinggang Wang1, H Dennis Tolley, David A LeFebre

  • 1Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602-5700, USA.

Analytical and Bioanalytical Chemistry
|June 4, 2002
PubMed
Summary
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Analytical equilibrium gradient methods utilize force gradients for non-linear separations. A novel dynamic approach based on field gradient methods can improve peak capacity in techniques like electromobility focusing.

Area of Science:

  • Analytical Chemistry
  • Separation Science

Background:

  • Analytical equilibrium gradient methods are non-linear separation techniques employing a force gradient within a separation channel.
  • These methods are broadly categorized into field gradient and constant field types based on gradient formation.

Purpose of the Study:

  • To discuss the characterization of equilibrium gradient methods using parameters like peak width, resolution, and peak capacity.
  • To present a novel method for dynamically enhancing peak capacity within field gradient equilibrium methods.

Main Methods:

  • Analysis of equilibrium gradient methods, including density gradient sedimentation, isoelectric focusing, and electromobility focusing.
  • Derivation of general expressions for peak width, resolution, and peak capacity based on analyte force and flux equations.

Related Experiment Videos

  • Development of a dynamic peak capacity improvement method within the field gradient category.

    • Main Results:

    • Established general expressions for key separation parameters in equilibrium gradient methods.
    • Demonstrated the successful application of density gradient sedimentation, isoelectric focusing, and electromobility focusing.
    • Presented a dynamic method to enhance peak capacity, exemplified by electromobility focusing.

    Conclusions:

    • Equilibrium gradient methods offer powerful non-linear separation capabilities.
    • Peak capacity can be dynamically improved in field gradient methods, as shown with electromobility focusing.