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Related Experiment Videos

Drop formation in aqueous two-phase systems.

R S Barhate1, Ganapathi Patil, N D Srinivas

  • 1Department of Food Engineering, Central Food Technological Research Institute, Mysore 570 013, India.

Journal of Chromatography. A
|February 3, 2004
PubMed
Summary

This study developed a predictive model for liquid drop formation in aqueous two-phase systems (ATPSs), crucial for protein extraction. The model accurately predicts drop volume, enhancing the design of extraction processes.

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Area of Science:

  • Chemical Engineering
  • Separation Science
  • Biotechnology

Background:

  • Aqueous two-phase systems (ATPSs) are vital for downstream processing of proteins and enzymes.
  • Understanding liquid drop formation is fundamental for designing extraction column contactors.
  • Existing drop formation models are primarily based on aqueous-organic systems, not ATPSs.

Purpose of the Study:

  • To develop a predictive model for drop formation in ATPSs.
  • To adapt existing models from aqueous-organic systems for ATPS applications.
  • To validate the developed model through experimental data.

Main Methods:

  • Developed a theoretical model for drop formation in ATPSs.
  • Conducted experiments using polyethylene glycol (PEG)/salt systems.

Related Experiment Videos

  • Varied phase compositions and flow rates during experiments.
  • Compared experimental drop volumes with model predictions.

    • Main Results:

    • A model was successfully developed for drop formation in ATPSs.
    • The model incorporates principles from aqueous-organic systems.
    • At low flow rates, a single-stage model predicted drop volume.
    • At high flow rates, a two-stage model accurately predicted drop volume.
    • Experimental results showed good agreement with model predictions.

    Conclusions:

    • The developed model provides a reliable method for predicting drop formation in ATPSs.
    • The model's accuracy validates its applicability to PEG/salt ATPS.
    • This research aids in optimizing the design of ATPS-based extraction processes.