Adsorption to biomimetic hair surface
The project is designed to study adsorption to the lipid palisade that forms the boundary of hair. Strategies for robust, hierarchical adsorption are limited by lack of understanding of how the lipid density and the amount of methyl branching affect the attachment, and by the difficulty of direct study of hair. Such knowledge is crucial for the design of protective and restorative coatings. Neutron reflectance provides the ideal experimental window to understand how the unique branching of hair lipids affects self-assembly and adsorption in water. It is ideal for understanding hierarchical adsorption, where deuteration will provide the contrast. This is particularly crucial in the current climate where there is an urgent need for new, sustainable materials to replace conventional additives which had years of optimisation. The studies will be supported by AFM and in-situ adsorption studies in Sweden. Adsorption models for coadsorbing polymers and surfactant to lipid surfaces based on Self-Consistent Field Theory exist, but these models require experimental verification and refinement.
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; Georgia A Pilkington and VOROBIEV Alexei. (2021). Adsorption to biomimetic hair surface. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.CRG-2741
This data is not yet public
This data is not yet public
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