MOLECULAR THERMODYNAMICS OF MICELLIZATION: MICELLE SIZE DISTRIBUTIONS AND GEOMETRY TRANSITIONS

Abstract Surfactants are amphiphilic molecules that can spontaneously self-assemble in solution, forming structures known as micelles. Variations in temperature, pH, and electrolyte concentration imply changes in the interactions between surfactants and micelle stability conditions, including micell...

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Main Authors: M. S. Santos, F. W. Tavares, E. C. Biscaia Jr
Format: Article
Language:English
Published: Brazilian Society of Chemical Engineering
Series:Brazilian Journal of Chemical Engineering
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322016000300515&lng=en&tlng=en
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spelling doaj-8693cb449a1042b7ae9abcc9218fc5122020-11-24T23:32:25ZengBrazilian Society of Chemical EngineeringBrazilian Journal of Chemical Engineering1678-438333351552310.1590/0104-6632.20160333s20150129S0104-66322016000300515MOLECULAR THERMODYNAMICS OF MICELLIZATION: MICELLE SIZE DISTRIBUTIONS AND GEOMETRY TRANSITIONSM. S. SantosF. W. TavaresE. C. Biscaia JrAbstract Surfactants are amphiphilic molecules that can spontaneously self-assemble in solution, forming structures known as micelles. Variations in temperature, pH, and electrolyte concentration imply changes in the interactions between surfactants and micelle stability conditions, including micelle size distribution and micelle shape. Here, molecular thermodynamics is used to describe and predict conditions of micelle formation in surfactant solutions by directly calculating the minimum Gibbs free energy of the system, corresponding to the most stable condition of the surfactant solution. In order to find it, the proposed methodology takes into account the micelle size distribution and two possible geometries (spherical and spherocylindrical). We propose a numerical optimization methodology where the minimum free energy can be reached faster and in a more reliable way. The proposed models predict the critical micelle concentration well when compared to experimental data, and also predict the effect of salt on micelle geometry transitions.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322016000300515&lng=en&tlng=enMicellizationMolecular thermodynamics
collection DOAJ
language English
format Article
sources DOAJ
author M. S. Santos
F. W. Tavares
E. C. Biscaia Jr
spellingShingle M. S. Santos
F. W. Tavares
E. C. Biscaia Jr
MOLECULAR THERMODYNAMICS OF MICELLIZATION: MICELLE SIZE DISTRIBUTIONS AND GEOMETRY TRANSITIONS
Brazilian Journal of Chemical Engineering
Micellization
Molecular thermodynamics
author_facet M. S. Santos
F. W. Tavares
E. C. Biscaia Jr
author_sort M. S. Santos
title MOLECULAR THERMODYNAMICS OF MICELLIZATION: MICELLE SIZE DISTRIBUTIONS AND GEOMETRY TRANSITIONS
title_short MOLECULAR THERMODYNAMICS OF MICELLIZATION: MICELLE SIZE DISTRIBUTIONS AND GEOMETRY TRANSITIONS
title_full MOLECULAR THERMODYNAMICS OF MICELLIZATION: MICELLE SIZE DISTRIBUTIONS AND GEOMETRY TRANSITIONS
title_fullStr MOLECULAR THERMODYNAMICS OF MICELLIZATION: MICELLE SIZE DISTRIBUTIONS AND GEOMETRY TRANSITIONS
title_full_unstemmed MOLECULAR THERMODYNAMICS OF MICELLIZATION: MICELLE SIZE DISTRIBUTIONS AND GEOMETRY TRANSITIONS
title_sort molecular thermodynamics of micellization: micelle size distributions and geometry transitions
publisher Brazilian Society of Chemical Engineering
series Brazilian Journal of Chemical Engineering
issn 1678-4383
description Abstract Surfactants are amphiphilic molecules that can spontaneously self-assemble in solution, forming structures known as micelles. Variations in temperature, pH, and electrolyte concentration imply changes in the interactions between surfactants and micelle stability conditions, including micelle size distribution and micelle shape. Here, molecular thermodynamics is used to describe and predict conditions of micelle formation in surfactant solutions by directly calculating the minimum Gibbs free energy of the system, corresponding to the most stable condition of the surfactant solution. In order to find it, the proposed methodology takes into account the micelle size distribution and two possible geometries (spherical and spherocylindrical). We propose a numerical optimization methodology where the minimum free energy can be reached faster and in a more reliable way. The proposed models predict the critical micelle concentration well when compared to experimental data, and also predict the effect of salt on micelle geometry transitions.
topic Micellization
Molecular thermodynamics
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322016000300515&lng=en&tlng=en
work_keys_str_mv AT mssantos molecularthermodynamicsofmicellizationmicellesizedistributionsandgeometrytransitions
AT fwtavares molecularthermodynamicsofmicellizationmicellesizedistributionsandgeometrytransitions
AT ecbiscaiajr molecularthermodynamicsofmicellizationmicellesizedistributionsandgeometrytransitions
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