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A simple model for estimating protein solubility in aqueous polymer solutions

M Yu1, J de Swaan Arons, J A Smit

  • 1Faculty of Chemical Technology and Material Science, Delft University of Technology, The Netherlands.

Journal of Chemical Technology and Biotechnology (Oxford, Oxfordshire : 1986)
|August 1, 1994
PubMed
Summary

This study presents a simple model to predict protein solubility in polymer solutions, aiding in understanding protein precipitation and estimating solubility with limited experimental data.

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Area of Science:

  • Biophysics
  • Physical Chemistry
  • Polymer Science

Background:

  • Protein solubility is crucial in various biological and industrial processes.
  • Polymer-induced protein precipitation is a known phenomenon with complex underlying mechanisms.
  • Existing models may not fully capture the interplay between protein and polymer characteristics.

Purpose of the Study:

  • To develop a simple scaling analysis for protein solubility in semi-diluted polymer aqueous solutions.
  • To incorporate both protein hard-sphere properties and polymer coil flexibility into a theoretical model.
  • To provide a predictive tool for estimating protein solubility in the presence of polymers.

Main Methods:

  • Derived a scaling analysis based on theoretical developments of protein-polymer interactions.

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  • Integrated experimental observations of polymer-induced protein precipitation.
  • Accounted for the hard-sphere nature of proteins and the flexibility of polymer coils.

    • Main Results:

    • The developed model successfully fits experimental data using physically reasonable parameters.
    • The analysis provides a simplified approach to understanding protein solubility in polymer solutions.
    • Demonstrated the utility of the model in predicting protein behavior.

    Conclusions:

    • The proposed scaling analysis offers a valuable tool for estimating protein solubility in polymer solutions.
    • This approach can reduce the need for extensive and costly experimental measurements.
    • The model contributes to a better understanding of protein-polymer interactions and precipitation phenomena.