Viscosity of Polymer Solutions and Molecular Weight Characterization

Since the pioneering research by Staudinger on dilute solution viscosity and its relation to the polymer molecular weight, viscosity analysis has become a valuable technique for polymer characterization. The conventional approach is based on the Huggins approximation of the solution-specific viscosity by a quadratic function of concentration, c. We show how to reformulate this approach in a universal form by representing a solution-specific viscosity, ηsp, as a generalized universal function ηsp(c) = α(c/c) + (1 – α)(c/c)2 of chain overlap concentration, c*, determined at ηsp = 1, with numerical coefficients α = 0.745 ± 0.005 for good and 0.625 ± 0.008 for a θ solvent. This viscosity representation can be viewed as a calibration curve for molecular weight determination from a measurement of the solution viscosity at a given solution concentration. Furthermore, the molecular weight dependence of the overlap concentration provides a means for quantifying the polymer/solvent affinity and the solvent effect on chain flexibility. The extension of the approach to semidilute solutions opens a path for obtaining molecular weight in a broad concentration range without requiring a dilution and monitoring its change during the polymerization reaction from solution viscosity.

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Work Title Viscosity of Polymer Solutions and Molecular Weight Characterization
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Open Access
Creators
  1. Andrey V. Dobrynin
  2. Ryan Sayko
  3. Ralph Colby
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. ACS Macro Letters
Publication Date May 22, 2023
Publisher Identifier (DOI)
  1. https://doi.org/10.1021/acsmacrolett.3c00219
Deposited June 25, 2023

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Version 1
published

  • Created
  • Updated
  • Added Creator Ralph Colby
  • Added Viscosity_dilute.pdf
  • Updated License Show Changes
    License
    • https://rightsstatements.org/page/InC/1.0/
  • Published
  • Updated Publisher, Publisher Identifier (DOI), Publication Date Show Changes
    Publisher
    • ACS Macro Letters
    Publisher Identifier (DOI)
    • https://doi.org/10.1021/acsmacrolett.3c00219
    Publication Date
    • 2023
    • 2023-05-22
  • Updated Creator Ralph Colby
  • Added Creator Andrey V. Dobrynin
  • Added Creator Ryan Sayko
  • Updated