Literature DB >> 15836361

Prediction of the critical micelle concentration in a lattice model for amphiphiles using a single-chain mean-field theory.

Zaid A Al-Anber1, Josep Bonet Avalos, Allan D Mackie.   

Abstract

A single-chain mean-field theory is used to predict the properties of binary surfactant solutions including the critical micelle concentration (cmc). In particular, the cmc of two symmetric nonionic amphiphiles is calculated as a function of temperature in order to analyze the validity of the ideal mixing assumption, often employed in the mass action model. On comparing against literature Monte Carlo results for the same lattice model we find that although it is applicable at low temperatures and hence cmcs at low amphiphile concentrations, at higher temperatures it becomes necessary to correct for the nonideal mixing of the free chain-free chain bulk interaction. We find that a simplistic model taking into account only the repulsive interaction is sufficient to restore the excellent quantitative agreement found between a single-chain mean-field theory calculations and literature molecular simulation results at the low temperature limit.

Year:  2005        PMID: 15836361     DOI: 10.1063/1.1860558

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


  3 in total

1.  Analysis of polymer adsorption onto colloidal particles.

Authors:  J Bonet Avalos; A Johner; S Díez-Orrite
Journal:  Eur Phys J E Soft Matter       Date:  2007-02-08       Impact factor: 1.890

Review 2.  Single Chain Mean-Field Theory Study on Responsive Behavior of Semiflexible Polymer Brush.

Authors:  Yingli Niu; Xiangyu Bu; Xinghua Zhang
Journal:  Materials (Basel)       Date:  2021-02-07       Impact factor: 3.623

3.  Universal Scaling for the Exit Dynamics of Block Copolymers from Micelles at Short and Long Time Scales.

Authors:  Maria S Pantelidou; Fabián A García Daza; Josep Bonet Avalos; Allan D Mackie
Journal:  Macromolecules       Date:  2022-01-24       Impact factor: 5.985

  3 in total

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