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Reactivity Ratios and Sequence Distribution Characterization by Quantitative 13C NMR for RAFT Synthesis of Styrene‐Acrylonitrile Copolymers
Authors:Md Mahbub Alam  Hui Peng  Kevin S Jack  David J T Hill  Andrew K Whittaker
Institution:1. Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia;2. ARC Centre of Excellence in Convergent Bio‐Nano Science and Technology, Brisbane, Australia;3. Centre for Microscopy and Microanalysis, The University of Queensland, Brisbane, Australia;4. School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia
Abstract:The kinetics and reactivity ratios of styrene‐acrylonitrile (SA) copolymerization have been studied extensively in bulk and in a variety of solution media using conventional free radical polymerizations (FRPs). Due to the significant difference in the two reactivity ratios for this monomer pair, at certain feed ratios the copolymers display composition drift with conversion due to monomer depletion. In this study, the kinetics of SA copolymerization using Reversible Addition‐Fragmentation Chain Transfer (RAFT) has been studied in bulk at 80 °C. The reactivity ratios for the terminal model were calculated from the comonomer sequence distributions for the RAFT process at low conversion for nine different compositions and found to be in the same range as those reported for conventional FRP of SA. The changes in the composition and sequence distribution with conversion were studied for three feed compositions. The copolymers show compositional drift with conversion, except at the azeotropic composition, and match the predictions from the reactivity ratios obtained at low conversion. From quantitative 13C NMR the triad distributions of these copolymers were estimated and found to match the predicted triad distributions as conversion increased. © 2017 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2017 , 55, 919–927
Keywords:13C NMR  copolymerization  RAFT  reactivity ratios  sequence distribution
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