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.


Examining Hydration Dynamics and the Glass Transition Behaviour of Keratin Fibres using QENS

Abstract: Protein–water interactions establish and shape the thermodynamic landscape that governs the folding, structure, stability, mechanics and activity of proteins, and thus performance of protein based materials such as skin and hair. In tissue or cellular based protein material systems such as human hair the mechanical and physical performance of these materials in humid environments is very complex and is poorly understood.In this study a series of keratin based fibres, including hairs of different ethinicitiies, will be studied at different humidities and temperatures using neutron scattering. This work will allow us to better understand the way water diffuses in these complex materials at different temperatures and humidiies. This improved understanding of the hydration behaviour of hair may facilitate the development of improved products for hair care.

Principal Investigator: Dr Daryl Williams
Local Contact: Dr Victoria Garcia Sakai
Experimenter: Dr Mark Telling
Experimenter: Miss Naima Ali

DOI: 10.5286/ISIS.E.RB1710437

ISIS Experiment Number: RB1710437

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.84939291 IRIS 29 March 2020 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 Daryl Williams et al; (2017): Examining Hydration Dynamics and the Glass Transition Behaviour of Keratin Fibres using QENS, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1710437

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



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