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Randomly‐ B ranched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distribution of Molar Mass and Branching Degree
Author(s) -
Clementi Luis A.,
Vega Jorge R.,
Meira Gregorio R.
Publication year - 2014
Publication title -
macromolecular theory and simulations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.37
H-Index - 56
eISSN - 1521-3919
pISSN - 1022-1344
DOI - 10.1002/mats.201300124
Subject(s) - molar mass , size exclusion chromatography , branching (polymer chemistry) , molar mass distribution , polymer , solvent , analytical chemistry (journal) , detector , chemistry , chromatography , fractionation , gel permeation chromatography , materials science , optics , physics , organic chemistry , enzyme
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 is simulated under ideal SEC, i.e., θ‐solvent, perfect measurements, and perfect fractionation by hydrodynamic volume except for a minor mixing in the detector cells. A negligible bias is introduced into the MMD, even when including band broadening in the columns. In contrast, poor MMD estimates are obtained when the chromatograms are contaminated with additive noise. Only qualitative estimates of the LCBD are possible.