Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees

CLEMENTI, L.A.; VEGA, J.R.; MEIRA, G.R.

MACROMOLECULAR THEORY AND SIMULATIONS

WILEY-V C H VERLAG GMBH

Lugar: Weinheim; Año: 2014 vol. 23 p. 90 - 100

1022-1344

This article theoretically evaluates the biases introduced into the distributions of molar masses (MMD) and number of long chain branches per molecule (LCBD), when randomly-branched polymers are analyzed by size exclusion chromatography (SEC) with molar mass-sensitive detectors. The MMD of a polymer with tetrafunctional branch units was calculated with the Stockmayer equation (1943); and an ideal SEC analysis was simulated that assumes theta-solvent, perfect measurements, and perfect fractionation by hydrodynamic volume except for a minor mixing in the detector cells. In ideal SEC, a negligible bias is introduced into the MMD, with the local dispersity exhibiting a maximum of 1.0035 at the high molar masses. This result is consistent with previous theoretical investigations, but differs qualitatively from experimental observations of polymers containing short- and long-chain branches. When including band broadening in the columns while still assuming perfect measurements, the MMD remains essentially unbiased. In contrast, poor MMD estimates are obtained when the chromatograms are contaminated with additive noise. Only qualitative estimates of the LCBD are possible, due to theoretical limitations combined with propagation of errors in a highly nonlinear calculation procedure.