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Viscosity of Polymer Solutions and Molecular Weight Characterization.
Dobrynin, Andrey V; Sayko, Ryan; Colby, Ralph H.
Afiliação
  • Dobrynin AV; Department of Chemistry, University of North Carolina, Chapel Hill, North Carolina 27599-3290, United States.
  • Sayko R; Department of Chemistry, University of North Carolina, Chapel Hill, North Carolina 27599-3290, United States.
  • Colby RH; Materials Science and Engineering, Penn State University, University Park, Pennsylvania 16802 United States.
ACS Macro Lett ; 12(6): 773-779, 2023 Jun 20.
Article em En | MEDLINE | ID: mdl-37216466
ABSTRACT
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ACS Macro Lett Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ACS Macro Lett Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos