The problem of using a polystyrene-standard-based calibration curve fo
r other polymers has been overcome by developing an algorithm based on
the concept of parameter estimation and optimization. The algorithm m
odifies the regression coefficients of the polystyrene-standard-based
calibration curve by interactively using the chromatographic output an
d the absolute number-average molecular weight of the experimental pol
ymer. Analytical expressions have been derived for calculating the dir
ectional derivatives, which ensure rapid convergence of the objective
function. The algorithm, applied to commercial poly(vinyl chloride), o
ffered a number-average molecular weight of 32 037 whereas that measur
ed by membrane osmometry is 32 000. The polymer characterization param
eters calculated from the optimized calibration curve closely matched
those obtained from the universal calibration curve and Q-factor value
s. The algorithm needs no narrow standard of the experimental polymer,
and holds for homopolymers, copolymers and polymer blends. It can be
easily incorporated into commercial size exclusion chromatography data
-reduction software packages.