Literature DB >> 26827230

Determination of the critical micelle concentration in simulations of surfactant systems.

Andrew P Santos1, Athanassios Z Panagiotopoulos1.   

Abstract

Alternative methods for determining the critical micelle concentration (cmc) are investigated using canonical and grand canonical Monte Carlo simulations of a lattice surfactant model. A common measure of the cmc is the "free" (unassociated) surfactant concentration in the presence of micellar aggregates. Many prior simulations of micellizing systems have observed a decrease in the free surfactant concentration with overall surfactant loading for both ionic and nonionic surfactants, contrary to theoretical expectations from mass-action models of aggregation. In the present study, we investigate a simple lattice nonionic surfactant model in implicit solvent, for which highly reproducible simulations are possible in both the canonical (NVT) and grand canonical (μVT) ensembles. We confirm the previously observed decrease of free surfactant concentration at higher overall loadings and propose an algorithm for the precise calculation of the excluded volume and effective concentration of unassociated surfactant molecules in the accessible volume of the solution. We find that the cmc can be obtained by correcting the free surfactant concentration for volume exclusion effects resulting from the presence of micellar aggregates. We also develop an improved method for determination of the cmc based on the maximum in curvature for the osmotic pressure curve determined from μVT simulations. Excellent agreement in cmc and other micellar properties between NVT and μVT simulations of different system sizes is observed. The methodological developments in this work are broadly applicable to simulations of aggregating systems using any type of surfactant model (atomistic/coarse grained) or solvent description (explicit/implicit).

Entities:  

Year:  2016        PMID: 26827230     DOI: 10.1063/1.4940687

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  3 in total

1.  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

2.  Desorption of hydrocarbon chains by association with ionic and nonionic surfactants under flow as a mechanism for enhanced oil recovery.

Authors:  Ketzasmin A Terrón-Mejía; Roberto López-Rendón; Armando Gama Goicochea
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

3.  A Surface Site Interaction Point Method for Dissipative Particle Dynamics Parametrization: Application to Alkyl Ethoxylate Surfactant Self-Assembly.

Authors:  Ennio Lavagnini; Joanne L Cook; Patrick B Warren; Mark J Williamson; Christopher A Hunter
Journal:  J Phys Chem B       Date:  2020-06-08       Impact factor: 2.991

  3 in total

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