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Visualization and design of the functional group distribution during statistical copolymerization

Author

Listed:
  • Paul H. M. Van Steenberge

    (Ghent University, Laboratory for Chemical Technology (LCT))

  • Ondrej Sedlacek

    (Ghent University, Supramolecular Chemistry Group, Centre of Macromolecular Chemistry (CMaC), Department of Organic and Macromolecular Chemistry)

  • Julio C. Hernández-Ortiz

    (Ghent University, Laboratory for Chemical Technology (LCT))

  • Bart Verbraeken

    (Ghent University, Supramolecular Chemistry Group, Centre of Macromolecular Chemistry (CMaC), Department of Organic and Macromolecular Chemistry)

  • Marie-Françoise Reyniers

    (Ghent University, Laboratory for Chemical Technology (LCT))

  • Richard Hoogenboom

    (Ghent University, Supramolecular Chemistry Group, Centre of Macromolecular Chemistry (CMaC), Department of Organic and Macromolecular Chemistry)

  • Dagmar R. D’hooge

    (Ghent University, Laboratory for Chemical Technology (LCT)
    Ghent University, Centre for Textile Science and Engineering)

Abstract

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.

Suggested Citation

  • Paul H. M. Van Steenberge & Ondrej Sedlacek & Julio C. Hernández-Ortiz & Bart Verbraeken & Marie-Françoise Reyniers & Richard Hoogenboom & Dagmar R. D’hooge, 2019. "Visualization and design of the functional group distribution during statistical copolymerization," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11368-6
    DOI: 10.1038/s41467-019-11368-6
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