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.


Use of nitric oxide radicals for the formation of a supramolecular hydrogel

Abstract: The aim of this proposal is to study the structure of hydrogel systems formed from fluorenylmethyloxycarbonyl (FMOC) protected peptides, via the use of nitric oxide radicals. Novel self-assembled hydrogels will be studied using contrast variation SANS. These are hydrogels with tailored physical, chemical, electrical, mechanical (self-healing, shape memory) and biological properties. They are expected to be highly desired in a range of biomedical applications such as tissue engineering, controlled drug release, stem cell engineering, molecular therapies and cancer research. No SANS studies have been performed on these systems and due to their diverse potential applications, it is vital that their structure is understood. The data will provide insights into the molecular packing of gelator species and ultimately provide information on the local structure within the gel network.

Principal Investigator: Professor Julian Eastoe
Local Contact: Dr Sarah Rogers
Experimenter: Dr Gavin Hazell
Experimenter: Mr Matthew Mulvee

DOI: 10.5286/ISIS.E.RB1620173

ISIS Experiment Number: RB1620173

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.82359282 SANS2D 13 October 2019 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:
Professor Julian Eastoe et al; (2016): Use of nitric oxide radicals for the formation of a supramolecular hydrogel, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1620173

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



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