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Property modelling of lysozyme-crosslinker-alginate complexes using latent variable methods.

Vida Rahmani1, Rand Elshereef2, Heather Sheardown1,3

  • 1Department of Chemical Engineering, McMaster University, Hamilton, Ontario, Canada.

Journal of Biomedical Materials Research. Part A
|May 8, 2021
PubMed
Summary

This study used statistical methods to analyze lysozyme-alginate complexes, finding that ionic strength significantly impacts protein release kinetics. Crosslinker properties had minimal effect on release rates.

Keywords:
alginatelysozymemultivariate statistical analysispolyelectrolyte complexprotein releaseprotein-polysaccharide interactions

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Area of Science:

  • Polymer science
  • Biomaterials science
  • Physical chemistry

Background:

  • Lysozyme-alginate complexes are investigated for controlled release applications.
  • Understanding the influence of environmental factors and crosslinkers is crucial for optimizing complex properties.

Purpose of the Study:

  • To quantify the effects of pH and ionic composition on lysozyme-alginate complex properties.
  • To investigate the impact of crosslinker charge density on protein release kinetics.

Main Methods:

  • Utilized statistical methods for analyzing polymer complex systems.
  • Employed multivariate statistical analysis to model protein release kinetics (kt^n).
  • Investigated various crosslinkers including calcium, barium, iron(III), and bovine serum albumin.

Main Results:

  • Protein release kinetics were highly dependent on the ionic strength of the release media.
  • Higher ionic strength resulted in faster protein release.
  • The release parameter k depended on protein properties, while n was minimally affected by crosslinker charge density.

Conclusions:

  • Ionic strength is a key factor in controlling protein release from lysozyme-alginate complexes.
  • Crosslinker nature has a limited impact on drug release kinetics.
  • Multivariate statistical analysis can optimize complex properties and predict degradation rates.