Visualization and design of the functional group distribution during statistical copolymerization

Even though functional copolymers with a low percentage of functional comonomer units (up to 20 mol%) are widely used, for instance for the development of polymer therapeutics and hydrogels, insights in the functional group distribution over the actual chains are lacking and the average composition...

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Veröffentlicht in:Nature communications 2019-08, Vol.10 (1), p.3641-14, Article 3641
Hauptverfasser: Van Steenberge, Paul H. M., Sedlacek, Ondrej, Hernández-Ortiz, Julio C., Verbraeken, Bart, Reyniers, Marie-Françoise, Hoogenboom, Richard, D’hooge, Dagmar R.
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Sprache:eng
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Zusammenfassung:Even though functional copolymers with a low percentage of functional comonomer units (up to 20 mol%) are widely used, for instance for the development of polymer therapeutics and hydrogels, insights in the functional group distribution over the actual chains are lacking and the average composition is conventionally used to describe the functionalization degree. Here we report the visualization of the monomer distribution over the different polymer chains by a synergetic combination of experimental and theoretical analysis aiming at the construction of functionality-chain length distributions (FUNC-CLDs). A successful design of the chemical structure of the comonomer pair, the initial functional comonomer amount (13 mol%), and the temperature (100 °C) is performed to tune the FUNC-CLD of copoly(2-oxazoline)s toward high functionalization degree for both low (100) and high (400) target degrees of polymerization. The proposed research strategy is generic and extendable to a broad range of copolymerization chemistries, including reversible deactivation radical polymerization. Understanding the functional group distribution in a polymer chain has been difficult, but this information can be very useful. Here the authors visualize the monomer distribution in individual polymer chains by combining experimental and theoretical analysis of the construction of functionality-chain length distributions.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-019-11368-6