posted on 2016-10-19, 14:35authored byMahesh Ganesan, Steven Knier, John G. Younger, Michael J. Solomon
We
report the viscosity of semidilute solutions of a bacterially synthesized
polysaccharidea partially deacetylated poly-N-acetylglucosamineas measured by microrheology. This polymer,
commonly called polysaccharide intercellular adhesin (PIA), is synthesized
by Staphylococcal strains; it is a principal component
of the biofilms of these bacteria. We show that the concentration-dependent
viscosity of PIA at a pH in which it is associated can be predicted
using the Heo–Larson equation for entangled polymers [J. Rheol. 2005, 49 (5), 1117−1128], if the molecular parameters of the equation
are measured in its associated state. This agreement is consistent
with PIA adopting a concentration-dependent scaling of the viscosity
that is dominated by entanglements and intermolecular associations,
as described in the theory of Rubinstein and Semenov [Macromolecules 2001, 34 (4), 1058−1068]. The zero-shear specific viscosity, ηsp, measured in the concentration range, cPIA = 0.1–13 wt %, scales as ηsp ∼ cPIA1.27±0.15 up to an entanglement concentration, ce = 3.2 wt %, after which ηsp ∼ cPIA4.25±0.30. In the presence of urea,
a known disruptor of associations, these scaling shifts to ηsp ∼ cPIA1.02±0.2 and ηsp ∼ cPIA2.57±0.6, respectively; no shift in ce is observed. The urea effect is consistent with an associative
contribution to viscosity in the aqueous solution case. The invariance
of ce suggests that the rheology of this
polymer–solvent system also includes an entanglement contribution.
With independent estimates of the PIA weight-average molar mass, Mw, entanglement molecular weight, Me, hydrodynamic radius, RH, and excluded volume, ν, we use the Heo–Larson equation
to predict ηsp as a function of cPIA. With the use of parameters from the associated stateparticularly
the hydrodynamic radiuswe find good agreement between the
model and data for aqueous PIA solutions. This study offers a means
to predict the rheology of associating polysaccharides using correlations
for nonassociating polymers adjusted with minimal a priori data from their associated state.