The molecular weight distributions (MWDs) and hydrodynamic volume distributions of polymers
can reveal considerable mechanistic information on the polymerization process, and have significant effects on
physical properties such as viscosity. While the broadening function for a particular SEC setup can be found
using ultranarrow standards, these are extremely difficult to obtain. The present paper implements and tests a
suggested technique (Aust. J. Chem.
2005, 58, 178) to enable the deconvolution of size distributions using broad
standards, synthesized under conditions which are expected to produce a number MWD P(M) which is a single
exponential. Broad standards with a wide range of M̄
n were synthesized for both styrene and methyl methacrylate
(MMA), using low-conversion free-radical polymerization with appropriate choice of chain transfer agent (CTA)
and initiator concentrations; standards with high M̄
nwere synthesized at 25 °C without added initiator. The
broadening function was obtained by assuming a flexible functional form (exponential Gaussian hybrid) and
least-squares fitting its parameters so that the “theoretical” exponential P(M) curves for each sample, with exponents
obtained experimentally, matched the experimental SEC distribution for styrene. The procedure was tested by
using the same band-broadening function to deconvolute data for the original polystyrene “standards” and the
polyMMA samples, using the Ishige deconvolution method. This method tends to amplify noise, and too tight a
tolerance can lead to spurious structure in the deconvoluted distributions. Nevertheless, a tolerance range could
be found which led to stable solutions, where the deconvoluted P(M) curves for both were indeed single exponential
over the range of molecular weights where data with acceptable accuracy could be obtained. This suggests that
this is a generally applicable method to correct for band broadening for a wide range of systems, although improved
deconvolution methods are needed to obtain truly converged and stable solutions.