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Automated Hydrophobic Interaction Chromatography Column Selection for Use in Protein Purification
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Advancing HIC method development: Retention-time modeling and tuning selectivity with ternary mobile-phase systems.

Raphael Ewonde Ewonde1, Stef R A Molenaar2, Ken Broeckhoven1

  • 1Vrije Universiteit Brussel (VUB), Department of Chemical Engineering, Brussels, Belgium.

Journal of Chromatography. A
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Summary

Researchers developed a new method using ternary mobile phases to improve protein separation in hydrophobic interaction chromatography (HIC). This approach enhances selectivity and retention prediction accuracy for complex protein mixtures.

Keywords:
Genetic algorithmGradient predictionHydrophobic interaction chromatographyProtein analysis

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Area of Science:

  • Chromatography
  • Biochemistry
  • Analytical Chemistry

Background:

  • Hydrophobic interaction chromatography (HIC) is crucial for protein separation.
  • Accurate prediction of protein retention in HIC is challenging, especially with complex mobile phases.
  • Existing models struggle with ternary mobile-phase systems.

Purpose of the Study:

  • To explore ternary mobile-phase systems for enhanced HIC selectivity and retention tuning.
  • To overcome limitations of the linear solvent-strength model in ternary systems.
  • To develop accurate predictive models for protein retention in HIC using ternary gradients.

Main Methods:

  • Investigated ternary mobile phases (ammonium sulfate, sodium chloride, phosphate buffer).
  • Applied the Jandera retention model with averaged retention factors for ternary systems.
  • Developed an analytical expression for HIC retention prediction in linear and segmented gradients.
  • Utilized a genetic algorithm for optimizing HIC selectivity with ternary gradients.

Main Results:

  • The Jandera model successfully predicted retention times with errors below 11% for linear gradients.
  • Retention time prediction errors were below 12% for lysozyme and 3% for trypsinogen and α-chymotrypsinogen A.
  • Optimized segmented ternary gradients achieved critical-pair separation of 7 proteins within 15 minutes with 0.7-15.7% prediction error.

Conclusions:

  • Ternary mobile phases offer a viable strategy for tuning HIC selectivity and retention.
  • The developed analytical model provides accurate retention time predictions for ternary HIC gradients.
  • This approach enables efficient and selective separation of complex protein mixtures using HIC.