4.7 Article

Complex coacervation of poly(ethylene-imine)/polypeptide aqueous solutions: Thermodynamic and rheological characterization

Journal

JOURNAL OF COLLOID AND INTERFACE SCIENCE
Volume 398, Issue -, Pages 39-50

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcis.2013.01.055

Keywords

Complex coacervation; Isothermal titration microcalorimetry; Rheology; Polypeptides

Funding

  1. National Science Foundation [DMR-0710521]
  2. Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy [DE-AC02-05CH11231]
  3. Argonne National Laboratory under U.S. Department of Energy [DE-AC02-06CH11357]

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This study is aimed at understanding the complex coacervation of two systems: branched poly(ethyleneimine) with linear poly(D,L-glutamic acid) or poly(D,L-aspartic acid), and identify differences and similarities with previously reported systems. Three different techniques (turbidity, isothermal titration microcalorimetry-ITC and rheology) were used in a comprehensive study of coacervation. Sample turbidity was used to show how various parameters (salt, stoichiometry, pH, temperature) affect complex coacervation. Complex coacervation decreases with increase in salt and coacervate formation is maximum when a 31:69 mol% acid:base ratio is used. Rare in literature phase diagrams revealed that coacervates are formed over a wide range of acid:base ratios (15-88 mol% NH3+ groups), significantly broader compared to other systems. ITC was used for the thermodynamic characterization of the complexation between the polyelectrolytes, and showed that complex coacervation is entropy-driven (from the release of counter-ions) and enthalpically unfavored process. Composition and viscoelastic properties of the complex coacervates were examined gravimetrically and through rheology. Coacervate water content depends on the salt concentration and the stoichiometry. Coacervates exhibit a viscoelastic behavior that is dependent on the salt concentration. Master curves that can predict behavior at a wide range of time scales, not accessible by conventional rheological measurements, were created. (C) 2013 Elsevier Inc. All rights reserved.

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