ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


Structure of Multicomponent Gelators: Effect of Dynamic Covalent Chemistry

Abstract: Supramolecular gels form via the self-assembly of low molecular weight gelators (LMWGs) into complex, hierarchical structures. Here we propose a SANS study of our multicomponent gels prepared using two or more different gelators. Our group has used rheology, NMR and SEM to characterise these gels. These techniques, while useful, lack the necessary microscopic insight to relate chemical changes to structure and macroscopic behaviour. The SANS experiment aims to further our understanding of multicomponent gels through characterisation of primary fibre structures. By exploiting contrast variation we study the self-assembly mechanism. We also compare two distinct synthetic routes to prove our hypothesis of a co-assembly mechanism. By measuring SANS intensities in both the solution and gel phase we hope to learn more about the assembly process, which is currently poorly understood.

Principal Investigator: Dr Valeria Arrighi
Experimenter: Mr Iain Lawson
Local Contact: Dr Leide Cavalcanti
Experimenter: Miss Mary Jones
Experimenter: Dr Gareth Lloyd
Experimenter: Dr Filipe Vilela

DOI: 10.5286/ISIS.E.RB2010573

ISIS Experiment Number: RB2010573

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2010573-1 SANS2D 08 March 2023 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Valeria Arrighi et al; (2020): Structure of Multicomponent Gelators: Effect of Dynamic Covalent Chemistry, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2010573

Data is released under the CC-BY-4.0 license.



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