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Modeling a protein foam fractionation process.

L Du1, V Loha, R D Tanner

  • 1Chemical Engineering Department, Vanderbilt University, Nashville, TN 37235, USA.

Applied Biochemistry and Biotechnology
|June 13, 2000
PubMed
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A simplified staged model accurately predicts protein concentration distribution in foam fractionation. This model effectively captures enrichment effects from gas velocity and feed concentration in continuous and semibatch operations.

Area of Science:

  • Biochemical Engineering
  • Separation Processes
  • Protein Chemistry

Background:

  • Foam fractionation is a key technique for protein separation.
  • Existing models often lack the simplicity needed for broad application.
  • Understanding protein behavior in foam is crucial for process optimization.

Purpose of the Study:

  • To propose a simplified staged model for protein foam fractionation.
  • To evaluate the model's predictive capability using experimental data.
  • To analyze the impact of key operational variables on enrichment.

Main Methods:

  • Developed a staged model based on counter-current flow of bubbles and liquid.
  • Incorporated bubble size, liquid hold-up, and adsorption isotherms into the model.

Related Experiment Videos

  • Validated the model using semibatch and continuous foam fractionation data for egg and bovine serum albumin.

    • Main Results:

    • The model successfully predicts protein concentration distribution along the column.
    • It accurately captures the effect of superficial gas velocity and feed protein concentration on enrichment.
    • Predictions are particularly strong for continuous operation and high initial concentrations in semibatch operation.

    Conclusions:

    • The simplified staged model provides a valuable tool for understanding and predicting protein foam fractionation.
    • The model's ability to predict enrichment highlights the importance of gas velocity and feed concentration.
    • This approach offers a practical method for optimizing protein separation processes.