Literature DB >> 25226280

Explicit- and implicit-solvent simulations of micellization in surfactant solutions.

Arben Jusufi1, Athanassios Z Panagiotopoulos2.   

Abstract

In this article, we focus on simulation methodologies to obtain the critical micelle concentration (cmc) and equilibrium distribution of aggregate sizes in dilute surfactant solutions. Even though it is now relatively easy to obtain micellar aggregates in simulations starting from a fully dispersed state, several major challenges remain. In particular, the characteristic times of micelle reorganization and transfer of monomers from micelles to free solution for most systems of practical interest exceed currently accessible molecular dynamics time scales for atomistic surfactant models in explicit solvent. In addition, it is impractical to simulate highly dilute systems near the cmc. We have demonstrated a strong dependence of the free surfactant concentration (frequently, but incorrectly, taken to represent the cmc in simulations) on the overall concentration for ionic surfactants. We have presented a theoretical framework for making the necessary extrapolations to the cmc. We find that currently available atomistic force fields systematically underpredict experimental cmc's, pointing to the need for the development of improved models. For strongly micellizing systems that exhibit strong hysteresis, implicit-solvent grand canonical Monte Carlo simulations represent an appealing alternative to atomistic or coarse-grained, explicit-solvent simulations. We summarize an approach that can be used to obtain quantitative, transferrable effective interactions and illustrate how this grand canonical approach can be used to interpret experimental scattering results.

Mesh:

Substances:

Year:  2014        PMID: 25226280     DOI: 10.1021/la502227v

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  7 in total

1.  Molecular Dynamics Simulation of Trimer Self-Assembly Under Shear.

Authors:  Raymond D Mountain; Harold W Hatch; Vincent K Shen
Journal:  Fluid Phase Equilib       Date:  2017-03-06       Impact factor: 2.775

2.  Bacterial Quorum Sensing Signals Self-Assemble in Aqueous Media to Form Micelles and Vesicles: An Integrated Experimental and Molecular Dynamics Study.

Authors:  Curran G Gahan; Samarthaben J Patel; Michelle E Boursier; Kayleigh E Nyffeler; James Jennings; Nicholas L Abbott; Helen E Blackwell; Reid C Van Lehn; David M Lynn
Journal:  J Phys Chem B       Date:  2020-04-23       Impact factor: 2.991

3.  Surfactant chain length and concentration influence on the interfacial tension of two immiscible model liquids: a coarse-grained approach.

Authors:  R Catarino Centeno; R A Bustamante-Rendón; J S Hernández-Fragoso; I Arroyo-Ordoñez; E Pérez; S J Alas; A Gama Goicochea
Journal:  J Mol Model       Date:  2017-10-06       Impact factor: 1.810

4.  Self-assembly of trimer colloids: effect of shape and interaction range.

Authors:  Harold W Hatch; Seung-Yeob Yang; Jeetain Mittal; Vincent K Shen
Journal:  Soft Matter       Date:  2016-04-18       Impact factor: 3.679

5.  Predicting structural properties of fluids by thermodynamic extrapolation.

Authors:  Nathan A Mahynski; Sally Jiao; Harold W Hatch; Marco A Blanco; Vincent K Shen
Journal:  J Chem Phys       Date:  2018-05-21       Impact factor: 3.488

6.  Platonic Micelles: Monodisperse Micelles with Discrete Aggregation Numbers Corresponding to Regular Polyhedra.

Authors:  Shota Fujii; Shimpei Yamada; Sakiko Matsumoto; Genki Kubo; Kenta Yoshida; Eri Tabata; Rika Miyake; Yusuke Sanada; Isamu Akiba; Tadashi Okobira; Naoto Yagi; Efstratios Mylonas; Noboru Ohta; Hiroshi Sekiguchi; Kazuo Sakurai
Journal:  Sci Rep       Date:  2017-03-14       Impact factor: 4.379

7.  Aggregation Behavior of Medium Chain Fatty Acids Studied by Coarse-Grained Molecular Dynamics Simulation.

Authors:  Md Shakhawath Hossain; Staffan Berg; Christel A S Bergström; Per Larsson
Journal:  AAPS PharmSciTech       Date:  2019-01-09       Impact factor: 3.246

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.