Determination of the critical micelle concentration in simulations of surfactant systems

被引:58
作者
Santos, Andrew P. [1 ]
Panagiotopoulos, Athanassios Z. [1 ]
机构
[1] Princeton Univ, Dept Chem & Biol Engn, Princeton, NJ 08544 USA
基金
美国国家科学基金会;
关键词
MONTE-CARLO-SIMULATION; PARTICLE DYNAMICS SIMULATIONS; SODIUM DODECYL-SULFATE; IONIC SURFACTANTS; AGGREGATION NUMBER; LATTICE MODEL; NONIONIC SURFACTANT; SIZE DISTRIBUTION; OSMOTIC-PRESSURE; PHASE-SEPARATION;
D O I
10.1063/1.4940687
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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 (mu VT) 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 mu VT simulations. Excellent agreement in cmc and other micellar properties between NVT and mu VT 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). (C) 2016 AIP Publishing LLC.
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页数:9
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