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Preparative liquid chromatography.

Georges Guiochon1

  • 1Department of Chemistry, University of Tennessee, Knoxville 37996-1600, USA. guiochon@utk.edu

Journal of Chromatography. A
|September 19, 2002
PubMed
Summary
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Preparative liquid chromatography (PLC) theory has advanced, focusing on complex systems and kinetics for optimizing separations. New methods like simulated moving bed and expanded beds enhance purification, establishing PLC in the pharmaceutical industry.

Area of Science:

  • Analytical Chemistry
  • Chemical Engineering
  • Separation Science

Background:

  • Recent advancements in preparative liquid chromatography (PLC) theory have shifted focus from established models to complex systems and kinetics.
  • Sophisticated computational models are now applicable for optimizing experimental conditions in PLC.

Purpose of the Study:

  • To review the current status of preparative liquid chromatography theory and implementation methods.
  • To highlight recent advancements and their impact on pharmaceutical purification.

Main Methods:

  • Review of theoretical models, including non-linear and non-ideal chromatography.
  • Investigation of equilibrium thermodynamics and mass transfer kinetics.
  • Application of computational models for experimental optimization.

Related Experiment Videos

  • Analysis of new instrumental features and practical applications.

    • Main Results:

    • Understanding of various chromatography models and their applications is well-established.
    • New research areas include complex system thermodynamics and mass transfer kinetics.
    • Advanced computational tools enable detailed separation analysis, particularly for challenging compounds.
    • Innovations include simulated moving bed (SMB) chromatography for chiral separations and expanded beds for protein extraction.

    Conclusions:

    • Preparative liquid chromatography is a well-established purification technique in the pharmaceutical industry.
    • Continuous improvements in theory and instrumentation are driving wider adoption and application.