Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31845
Title: Online tracing of molecular weight evolution during radical polymerization via high-resolution FlowNMR spectroscopy
Authors: VRIJSEN, Jeroen 
Thomlinson, Isabel A.
Levere, Martin E.
Lyall, Catherine L.
Davidson, Matthew G.
Hintermair, Ulrich
JUNKERS, Tanja 
Issue Date: 2020
Publisher: ROYAL SOC CHEMISTRY
Source: POLYMER CHEMISTRY, 11 (21) , p. 3546 -3550
Abstract: High-resolution FlowNMR was coupled to a continuous flow reactor to monitor polymer molecular weight evolution online by diffusion ordered NMR spectroscopy. Polymers were synthesized by reversible addition fragmentation chain transfer polymerization in continuous flow. The setup allows to target various polymer chain lengths in a dynamic manner without requiring additional purification or sample preparation. Obtaining molecular weight information in this manner is shown to be more accurate than classical SEC analysis at comparable measurement times, with relative errors around 5%.
Notes: Junkers, T (corresponding author), Hasselt Univ, Martelarenlaan 42, B-3500 Hasselt, Belgium.; Junkers, T (corresponding author), Monash Univ, Sch Chem, Polymer React Design Grp, 19 Rainforest Walk,Bldg 23, Clayton, Vic 3800, Australia.; Hintermair, U (corresponding author), Univ Bath, Ctr Sustainable & Circular Technol, Bath BA2 7AY, Avon, England.; Hintermair, U (corresponding author), Univ Bath, Dynam React Monitoring Facil, Bath BA2 7AY, Avon, England.
u.hintermair@bath.ac.uk; tanja.junkers@monash.edu
Other: Junkers, T (corresponding author), Hasselt Univ, Martelarenlaan 42, B-3500 Hasselt, Belgium; Monash Univ, Sch Chem, Polymer React Design Grp, 19 Rainforest Walk,Bldg 23, Clayton, Vic 3800, Australia. u.hintermair@bath.ac.uk; tanja.junkers@monash.edu
Keywords: Size-Exclusion Chromatography;Ring-Opening Polymerization;Evaluated Rate Coefficients;Molar Masses;Dosy;Termination;Polymers;Acrylate;Errors;Raft
Document URI: http://hdl.handle.net/1942/31845
ISSN: 1759-9954
e-ISSN: 1759-9962
DOI: 10.1039/d0py00475h
ISI #: WOS:000539273600003
Rights: Open Access Article. Published on 06 May 2020. Downloaded on 8/26/2020 12:53:20 PM. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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