Literature DB >> 30029032

Structure of surfactant and phospholipid monolayers at the air/water interface modeled from neutron reflectivity data.

Richard A Campbell1, Yussif Saaka2, Yanan Shao2, Yuri Gerelli3, Robert Cubitt3, Ewa Nazaruk4, Dorota Matyszewska5, M Jayne Lawrence6.   

Abstract

Specular neutron reflectometry is a powerful technique to resolve interfacial compositions and structures in soft matter. Surprisingly however, even after several decades, a universal modeling approach for the treatment of data of surfactant and phospholipid monolayers at the air/water interface has not yet been established. To address this shortcoming, first a systematic evaluation of the suitability of different models is presented. The result is a comprehensive validation of an optimum model, which is evidently much needed in the field, and which we recommend as a starting point for future data treatment. While its limitations are openly discussed, consequences of failing to take into account various key aspects are critically examined and the systematic errors quantified. On the basis of this physical framework, we go on to show for the first time that neutron reflectometry can be used to quantify directly in situ at the air/water interface the extent of acyl chain compaction of phospholipid monolayers with respect to their phase. The achieved precision of this novel quantification is ∼10%. These advances together enhance significantly the potential for exploitation in future studies data from a broad range of systems including those involving synthetic polymers, proteins, DNA, nanoparticles and drugs.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Air/water interface; Data analysis; Monolayers; Neutron reflectometry; Phospholipids; Surfactants

Mesh:

Substances:

Year:  2018        PMID: 30029032     DOI: 10.1016/j.jcis.2018.07.022

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  7 in total

1.  refnx: neutron and X-ray reflectometry analysis in Python.

Authors:  Andrew R J Nelson; Stuart W Prescott
Journal:  J Appl Crystallogr       Date:  2019-02-01       Impact factor: 3.304

Review 2.  Mimicking the Mammalian Plasma Membrane: An Overview of Lipid Membrane Models for Biophysical Studies.

Authors:  Alessandra Luchini; Giuseppe Vitiello
Journal:  Biomimetics (Basel)       Date:  2020-12-31

3.  Structure and pH-Induced Swelling of Polymer Films Prepared from Sequentially Grafted Polyelectrolytes.

Authors:  Béla Nagy; Mario Campana; Yury N Khaydukov; Thomas Ederth
Journal:  Langmuir       Date:  2022-01-26       Impact factor: 3.882

4.  Interaction of Surface-Modified Alumina Nanoparticles and Surfactants at an Oil/Water Interface: A Neutron Reflectometry, Scattering, and Enhanced Oil Recovery Study.

Authors:  Wafaa Al-Shatty; Mario Campana; Shirin Alexander; Andrew R Barron
Journal:  ACS Appl Mater Interfaces       Date:  2022-04-20       Impact factor: 10.383

5.  Optimizing experimental design in neutron reflectometry.

Authors:  James H Durant; Lucas Wilkins; Joshaniel F K Cooper
Journal:  J Appl Crystallogr       Date:  2022-06-23       Impact factor: 4.868

6.  Faster and lower-dose X-ray reflectivity measurements enabled by physics-informed modeling and artificial intelligence co-refinement.

Authors:  David Mareček; Julian Oberreiter; Andrew Nelson; Stefan Kowarik
Journal:  J Appl Crystallogr       Date:  2022-10-01       Impact factor: 4.868

7.  Unexpected monolayer-to-bilayer transition of arylazopyrazole surfactants facilitates superior photo-control of fluid interfaces and colloids.

Authors:  Christian Honnigfort; Richard A Campbell; Jörn Droste; Philipp Gutfreund; Michael Ryan Hansen; Bart Jan Ravoo; Björn Braunschweig
Journal:  Chem Sci       Date:  2020-01-08       Impact factor: 9.825

  7 in total

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