ISIS Neutron and Muon Source Data Journal

Adsorption to Biomimetic Hair Surfaces

Abstract: The proposal supports the PhD project ?Adhesion and interaction with hair biomolecules ? a cosmetic perspective?. The aim is to understand how surfactants and polymers from shampoo formulations interact with biomimetic model hair surfaces. The thiol-based surfaces on gold are designed to reflect the hair under different conditions (native or damaged fibres), and include the antepenultimate methyl branch characteristic of interfacial hair lipids. Understanding the nature of the hierarchical adsorption from formulations and the role of the surface is crucial for developing sustainable cosmetic formulations. Neutron reflectometry is thus a key technique which is combined with QCM-D and modelling. Selective deuteration of surfactants and water provides increased contrast between the different ad-layers and reveals how the surface and bulk (rinsing) properties affect adsorbed film state.

Principal Investigator: Professor Mark Rutland
Local Contact: Dr Rebecca Welbourn
Experimenter: Dr Alexei Vorobiev
Experimenter: Miss Serena Cozzolino
Experimenter: Dr Philipp Gutfreund
Experimenter: Dr Gustavon Silviano Luengo Rico
Experimenter: Dr Oliver Hammond
Experimenter: Mr Sichao Li
Experimenter: Mr Filip Mehler
Experimenter: Dr Guillaume Bousrez

DOI: 10.5286/ISIS.E.RB2210338

ISIS Experiment Number: RB2210338

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 Mark Rutland et al; (2022): Adsorption to Biomimetic Hair Surfaces, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2210338

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