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Simulated moving-bed chromatography and its application to chirotechnology.

M Juza1, M Mazzotti, M Morbidelli

  • 1Laboratorium für Technische Chemie, ETH Zürich, Universitätstr. 6, CH-8092 Zürich, Switzerland.

Trends in Biotechnology
|February 17, 2000
PubMed
Summary

Simulated moving-bed chromatography efficiently separates chiral drug enantiomers. This method supports large-scale production, potentially reducing chiral drug development costs and timelines.

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Area of Science:

  • Chemical Engineering
  • Pharmaceutical Science
  • Chromatography

Background:

  • Growing demand for enantiomerically pure drugs due to differing biological activities of enantiomers.
  • Chiral drugs require specific enantiomers for optimal therapeutic effects and reduced side effects.
  • Current pharmaceutical industry needs efficient methods for enantiomer separation.

Purpose of the Study:

  • To highlight the application of simulated moving-bed (SMB) chromatography for chiral drug separation.
  • To demonstrate the scalability of SMB chromatography from lab to production.
  • To propose SMB as a cost-effective solution for chiral drug development.

Main Methods:

  • Utilizing simulated moving-bed (SMB) chromatography for enantiomer separation.

Related Experiment Videos

  • Employing non-enantioselective synthesis to create racemic mixtures.
  • Scaling up the SMB process for industrial application.
  • Main Results:

    • SMB chromatography is effective for separating enantiomers of chiral molecules.
    • The SMB process is scalable across laboratory, pilot, and production plant levels.
    • Combining racemic synthesis with SMB separation offers a viable production strategy.

    Conclusions:

    • Simulated moving-bed chromatography is a robust technique for producing enantiomerically pure chiral drugs.
    • SMB technology enables cost-effective and time-efficient development of new chiral pharmaceuticals.
    • This approach addresses the pharmaceutical industry's need for scalable and economical enantioseparation solutions.