Bayesian determination of the effect of a deep eutectic solvent on the structure of lipid monolayers

DOI: 10.1039/C9CP00203K

Authors: Andrew R. Mccluskey (University of Bath; Diamond Light Source) , Adrian Sanchez-fernandez (University of Bath; European Spallation Source) , Karen J. Edler (University of Bath) , Stephen C. Parker (University of Bath) , Andrew J. Jackson (European Spallation Source; Lund University) , Richard A. Campbell (University of Manchester; Institut Laue-Langevin) , Thomas Arnold (University of Bath; Diamond Light Source; European Spallation Source; ISIS Neutron and Muon Source)
Co-authored by industrial partner: No

Type: Journal Paper
Journal: Physical Chemistry Chemical Physics , VOL 114

State: Published (Approved)
Published: February 2019
Diamond Proposal Number(s): 10546

Abstract: In this work, we present the first example of the self-assembly of phospholipid monolayers at the interface between air and an ionic solvent. Deep eutectic solvents are a novel class of environmentally friendly, non-aqueous, room temperature liquids with tunable properties, that have wide-ranging potential applications and are capable of promoting the self-assembly of surfactant molecules. We use a chemically-consistent Bayesian modelling of X-ray and neutron reflectometry measurements to show that these monolayers broadly behave as they do on water. This method allows for the monolayer structure to be determined, alongside the molecular volumes of the individual monolayer components, without the need for water-specific constraints to be introduced. Furthermore, using this method we are able to better understand the correlations present between parameters in the analytical model. This example of a non-aqueous phospholipid monolayer has important implications for the potential uses of these solvents and for our understanding of how biomolecules behave in the absence of water.

Subject Areas: Chemistry


Instruments: I07-Surface & interface diffraction

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