Accurate information for the molar
mass of polymers is a critical
item in polymerization kinetic investigation and precision polymer
synthesis. Size exclusion chromatography (SEC) is an irreplaceable
technique to determine molar mass averages based on conventional calibration,
which may nonetheless lead to inaccurate results due to the dissimilarity
between the sample and the standard polymer. Herein, a facile distribution
function-based strategy was proposed for the precise determination
of molar mass average properties, aiming at rectifying the deviation
of the standard-equivalent results from the true values. The number-average
molar mass (M
n) can be recalculated involving
the contribution of each molar mass component beyond the fundamental
Mark–Houwink–Sakurada relation. In addition, the as-developed
strategy is capable of converting the dispersity from the apparent
to the true value, thereby re-estimating the uniformity of the rectified
molar mass distribution. The strategy was successfully applied to
the linear polymers with medium and low dispersities obtained by two
well-controlled chain-growth polymerizations: reversible addition-fragmentation
chain transfer polymerization and ring-opening metathesis polymerization,
respectively. The rectified M
n closely
match the benchmarks (i.e., absolute/theoretical M
n), showing a much higher accuracy than those conventionally
calibrated SEC results. Attributing to the consideration of dispersity,
the errors of the rectified results can be as low as zero. This work
reduces the risk of experimental bias caused by conventionally calibrated
SEC analysis to acquire precise mechanism insight and realistic polymerization
process details.