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Hierarchical Composite Self-Sorted Supramolecular Gel Noodles.
Marshall, Libby J; Wallace, Matthew; Mahmoudi, Najet; Ciccone, Giuseppe; Wilson, Claire; Vassalli, Massimo; Adams, Dave J.
Affiliation
  • Marshall LJ; School of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
  • Wallace M; School of Pharmacy, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.
  • Mahmoudi N; ISIS Neutron and Muon Source, Rutherford Appleton Laboratory, Didcot, OX11 0QX, UK.
  • Ciccone G; Centre for the Cellular Microenvironment, Advanced Research Centre, University of Glasgow, Glasgow, G11 6EW, UK.
  • Wilson C; School of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
  • Vassalli M; Centre for the Cellular Microenvironment, Advanced Research Centre, University of Glasgow, Glasgow, G11 6EW, UK.
  • Adams DJ; School of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
Adv Mater ; 35(17): e2211277, 2023 Apr.
Article in En | MEDLINE | ID: mdl-36720202
ABSTRACT
Multicomponent supramolecular systems can be used to achieve different properties and new behaviors compared to their corresponding single component systems. Here, a two-component system is used, showing that a non-gelling component modifies the assembly of the gelling component, allowing access to co-assembled structures that cannot be formed from the gelling component alone. The systems are characterized across multiple length scales, from the molecular level by NMR and CD spectroscopy to the microstructure level by SANS and finally to the material level using nanoindentation and rheology. By exploiting the enhanced mechanical properties achieved through addition of the second component, multicomponent noodles are formed with superior mechanical properties to those formed by the single-component system. Furthermore, the non-gelling component can be triggered to crystallize within the multicomponent noodles, allowing the preparation of new types of hierarchical composite noodles.
Key words

Full text: 1 Database: MEDLINE Language: En Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Language: En Year: 2023 Type: Article