Adsorption to hair-mimetic surfaces
This is a continuation of the ILL proposal 9-13-1006. It supports Serena Cozzolino's InnovaXN PhD project, which uses biomimetic surfaces to gain insight into the interaction properties of hair surfaces, which are challenging to observe directly. This is fundamental knowledge for the industry partner: for improving product performance in restoring hair ¿function¿ and replacing existing ingredients with biosourced ones. NR is the primary technique for this project, as contrast variation is key to exposing the hierarchical adsorption on the hair-mimetic surface from complex mixtures of surfactants and polyelectrolytes. The biomimetic surfaces are produced by self-assembly of thiols on gold. L'Oreal recently synthesised the thiol analogue of 18-MEA, which is the most abundant lipid found on the hair surface and presents a characteristic methyl branch. This vastly improves the biomimetic characteristics of the produced model surfaces. The proposed experiments will reveal i) how the branched properties of the lipids affect adsorption, as well as ii) revealing the hierarchy in adsorption in z and iii) validate the biomimetic hair model.
The data is currently only available to download if you are a member of the proposal team.
The recommended format for citing this dataset in a research publication is in the following format:
Mark W. Rutland; COZZOLINO Serena; GUTFREUND Philipp; LUENGO Gustavo and Alexei Vorobiev. (2023). Adsorption to hair-mimetic surfaces. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.9-13-1052
This data is not yet public
This data is not yet public
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