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Related Experiment Videos

Regioselective enzymatic diol esterification in batch and fixed-Bed adsorptive reactors: experiments and modeling.

C Migliorini1, J P Meissner, M Mazzotti

  • 1Department of Chemical Engineering, University of Virginia, Charlottesville, Virginia 22904-4741, USA.

Biotechnology Progress
|August 10, 2000
PubMed
Summary

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Adsorptive reactors improve enzyme-catalyzed esterification by controlling water. Using an ion-exchange resin enhances reaction rates and conversion by managing water activity.

Area of Science:

  • Chemical Engineering
  • Biocatalysis
  • Reaction Engineering

Background:

  • Enzyme-catalyzed esterification is equilibrium-limited and sensitive to water inhibition.
  • Water accumulation on biocatalysts reduces activity and conversion.
  • Adsorptive reactors offer a potential solution to overcome these limitations.

Purpose of the Study:

  • To investigate the dynamic behavior of batch and fixed-bed adsorptive reactors for esterification.
  • To evaluate the use of an ion-exchange resin for water control.
  • To develop a mathematical model for predicting water activity and reactor performance.

Main Methods:

  • Studied enzyme-catalyzed regioselective esterification in batch and fixed-bed adsorptive reactors.
  • Employed a catalytically inert ion-exchange resin (Na-form) for water removal.

Related Experiment Videos

  • Developed and validated a mathematical model for water activity prediction.
  • Main Results:

    • Adsorptive reactor operation significantly improved reaction rate and final conversion.
    • The ion-exchange resin effectively controlled water accumulation and reduced equilibrium limitations.
    • The developed mathematical model accurately predicted experimental reactor behavior.
    • Substantial performance improvements were observed experimentally.

    Conclusions:

    • Operating in an adsorptive-reactor mode enhances enzyme-catalyzed esterification efficiency.
    • Water activity is a critical parameter for designing effective adsorptive reactors.
    • The developed mathematical model provides a valuable tool for reactor design and optimization.