Abstract:The self-assembly of linear surfactants into reverse micelles (RMs) in nonpolar solvents, and their efficiency in reducing the interfacial tension is studied using dissipative particle dynamic simulations. Given the importance of RMs as thickeners, among many other applications, their properties are studied here when formed in oil and in supercritical carbon dioxide (scCO2). Our simulations are found to be in agreement with experimental results of surfactant self-assembly in scCO2 that found viscosity incremen… Show more
“…It has been proved that the number of RMs formed depends on the water-surfactant ratio. 12 Additionally, here we find that the number of aggregates can be changed for a fixed water-surfactant ratio through the variation of the persistence length of the surfactants. In general, we find that the number of water-surfactant RMs formed tends to be higher for surfactants with low persistence length (L p = 0.728, Fig.…”
Section: Resultsmentioning
confidence: 57%
“…This setup has been implemented in a previous work that successfully achieved the micellization of water/HT4 surfactant models into reverse micelles in non-polar solvents. 12 The formation of RMs of the HT5 and HT9 surfactants is studied as a function of the persistence length (L p = −r 0 /ln[coth(k A ) − 1/k A ]), 25 1 and were taken from previous work with a slight variation in the interaction between surfactants' headand tail-groups to promote faster aggregation. 12 The parameters corresponding to the bonding forces (F S and F A ) are listed in Table 2.…”
Section: Simulation Detailsmentioning
confidence: 99%
“…12 The formation of RMs of the HT5 and HT9 surfactants is studied as a function of the persistence length (L p = −r 0 /ln[coth(k A ) − 1/k A ]), 25 1 and were taken from previous work with a slight variation in the interaction between surfactants' headand tail-groups to promote faster aggregation. 12 The parameters corresponding to the bonding forces (F S and F A ) are listed in Table 2. All simulations performed in this work were run in 50 blocks of 10 4 time steps.…”
Section: Simulation Detailsmentioning
confidence: 99%
“…There are several simulations that have studied the formation of RMs, as well as their morphology and structural properties, using molecular dynamics 8,9 and mesoscopic-scale simulations. [10][11][12] S. Salaniwal and co-workers 13 were the first group to study the formation of RMs in a supercritical nonpolar solvent. They found that reverse micellization in supercritical carbon dioxide occurs faster than that for micelles in liquid solvents.…”
Section: Introductionmentioning
confidence: 99%
“…The self-assembly of HT4 model surfactants (one particle head and a four-particle tail) into RMs in non-polar solvents has been studied recently by Mayoral and co-workers. 12 They found that the number of aggregates (RMs) depends on the water/surfactant ratio, and the formation of RMs occurs at a lower surfactant concentration in strong non-polar solvents. However, the influence of the surfactants' stiffness on micelle formation has not yet been studied thoroughly.…”
The self-assembly of linear model surfactants into reverse micelles (RMs) in a nonpolar solvent is studied here for two surfactant lengths, through numerical simulations. The study was carried out at...
“…It has been proved that the number of RMs formed depends on the water-surfactant ratio. 12 Additionally, here we find that the number of aggregates can be changed for a fixed water-surfactant ratio through the variation of the persistence length of the surfactants. In general, we find that the number of water-surfactant RMs formed tends to be higher for surfactants with low persistence length (L p = 0.728, Fig.…”
Section: Resultsmentioning
confidence: 57%
“…This setup has been implemented in a previous work that successfully achieved the micellization of water/HT4 surfactant models into reverse micelles in non-polar solvents. 12 The formation of RMs of the HT5 and HT9 surfactants is studied as a function of the persistence length (L p = −r 0 /ln[coth(k A ) − 1/k A ]), 25 1 and were taken from previous work with a slight variation in the interaction between surfactants' headand tail-groups to promote faster aggregation. 12 The parameters corresponding to the bonding forces (F S and F A ) are listed in Table 2.…”
Section: Simulation Detailsmentioning
confidence: 99%
“…12 The formation of RMs of the HT5 and HT9 surfactants is studied as a function of the persistence length (L p = −r 0 /ln[coth(k A ) − 1/k A ]), 25 1 and were taken from previous work with a slight variation in the interaction between surfactants' headand tail-groups to promote faster aggregation. 12 The parameters corresponding to the bonding forces (F S and F A ) are listed in Table 2. All simulations performed in this work were run in 50 blocks of 10 4 time steps.…”
Section: Simulation Detailsmentioning
confidence: 99%
“…There are several simulations that have studied the formation of RMs, as well as their morphology and structural properties, using molecular dynamics 8,9 and mesoscopic-scale simulations. [10][11][12] S. Salaniwal and co-workers 13 were the first group to study the formation of RMs in a supercritical nonpolar solvent. They found that reverse micellization in supercritical carbon dioxide occurs faster than that for micelles in liquid solvents.…”
Section: Introductionmentioning
confidence: 99%
“…The self-assembly of HT4 model surfactants (one particle head and a four-particle tail) into RMs in non-polar solvents has been studied recently by Mayoral and co-workers. 12 They found that the number of aggregates (RMs) depends on the water/surfactant ratio, and the formation of RMs occurs at a lower surfactant concentration in strong non-polar solvents. However, the influence of the surfactants' stiffness on micelle formation has not yet been studied thoroughly.…”
The self-assembly of linear model surfactants into reverse micelles (RMs) in a nonpolar solvent is studied here for two surfactant lengths, through numerical simulations. The study was carried out at...
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