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Open AccessArticle

Nanoparticle-Lipid Interaction: Job Scattering Plots to Differentiate Vesicle Aggregation from Supported Lipid Bilayer Formation

1
Matière et Systèmes Complexes, UMR 7057 CNRS Université Denis Diderot Paris-VII, Bâtiment Condorcet, 10 rue Alice Domon et Léonie Duquet, 75205 Paris, France
2
Institut de Chimie de la Matière Condensée de Bordeaux, UPR CNRS 9048, Université Bordeaux 1, 87 Avenue du Docteur A. Schweitzer, CEDEX F-33608 Pessac, France
*
Author to whom correspondence should be addressed.
Colloids Interfaces 2018, 2(4), 50; https://doi.org/10.3390/colloids2040050
Received: 20 September 2018 / Revised: 13 October 2018 / Accepted: 17 October 2018 / Published: 22 October 2018
The impact of nanomaterials on lung fluids, or on the plasma membrane of living cells, has prompted researchers to examine the interactions between nanoparticles and lipid vesicles. Recent studies have shown that nanoparticle-lipid interaction leads to a broad range of structures including supported lipid bilayers (SLB), particles adsorbed at the surface or internalized inside vesicles, and mixed aggregates. Currently, there is a need to have simple protocols that can readily evaluate the structures made from particles and vesicles. Here we apply the method of continuous variation for measuring Job scattering plots and provide analytical expressions for the scattering intensity in various scenarios. The result that emerges from the comparison between experiments and modeling is that electrostatics play a key role in the association, but it is not sufficient to induce the formation of supported lipid bilayers. View Full-Text
Keywords: nanoparticles; bio-nano interfaces; electrostatic interactions; supported lipid bilayers nanoparticles; bio-nano interfaces; electrostatic interactions; supported lipid bilayers
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Mousseau, F.; Oikonomou, E.K.; Baldim, V.; Mornet, S.; Berret, J.-F. Nanoparticle-Lipid Interaction: Job Scattering Plots to Differentiate Vesicle Aggregation from Supported Lipid Bilayer Formation. Colloids Interfaces 2018, 2, 50.

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