Specific ion effects on the micellization of aqueous mixed cationic/anionic surfactant systems with various counterions

Hao, Li-Sheng; Yang, Ning; Xu, Guangyu; Jia, Yun-Feng; Liu, Qian; Nan, Yan‐Qing

doi:10.1016/j.colsurfa.2016.05.073

Cited by 21 publications

(25 citation statements)

References 71 publications

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“…Hence the positive deviation as in our DTAB-rich system explains the antagonistic interaction, while the negative deviation as in our SDS-rich indicates the synergistic interaction. Therefore, there is still a need to have a huge research scope for the mixed micellization of opposite charged surfactants [66].…”

Section: Resultsmentioning

confidence: 99%

Self-assembly of sodium dodecylsulfate and dodecyltrimethylammonium bromide mixed surfactants with dyes in aqueous mixtures

et al. 2019

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The micellar property of mixed surfactant systems, cationic (dodecyltrimethylammonium bromide, DTAB) and anionic (sodium dodecylsulfate, SDS) surfactants with variable molar ratios in aqueous system has been reported by using surface tension and conductivity measurements at T = 293.15, 298.15 and 303.15 K. DTAB concentrations are varied from 1.0 × 10 −4 to 3 × 10 −4 mol l −1 in 1.0 × 10 −2 mol l −1 SDS solution while the SDS concentration is varied from 1.0 × 10 −3 to 1.5 × 10 −2 mol l −1 in approximately 5.0 × 10 −3 mol l −1 DTAB, so that such concentrations of DTAB-SDS (DTAB-rich) and SDS-DTAB (SDS-rich) solutions were chosen 3 : 1 ratio. The critical micellar concentration, as well as surface and thermodynamic properties for DTAB-rich and SDS-rich solutions, were evaluated by the surface tension ( γ ) and conductivity ( κ ) methods. The pseudo phase separation model was coupled with the dissociated Margules model for synergism. The Krafft temperature behaviour and optical analysis of mixed surfactants are studied using conductivity and UV–Vis spectroscopy, respectively. The dispersibility and stability of DTAB-rich and SDS-rich solutions with and without dyes (2.5 × 10 −5 mol l −1 of methyl orange and methylene blue) are carried out by using UV–Vis spectroscopy and dynamic light scattering.

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Section: Resultsmentioning

confidence: 99%

Self-assembly of sodium dodecylsulfate and dodecyltrimethylammonium bromide mixed surfactants with dyes in aqueous mixtures

et al. 2019

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“…Initially, the Hofmeister series was proposed to predict the effects of salt on proteins, but later, it was extrapolated to colloidal systems such as those containing surfactants. It has been shown that micellar properties, such as critical micellar concentration (CMC) and the shape and size of aggregates of micellar surfactants, depend not only on the nature of the surfactant but also on the specific ion with which the surfactant interacts (Hao et al, ; Maiti et al, ; Manet et al, ; Moreira and Firoozabadi, ; Sood and Aggarwal, ; Vlachy et al, ). Vlachy et al () classified the surfactants according to the nature of their head group.…”

Section: Introductionmentioning

confidence: 99%

How the Influence of Different Salts on Interfacial Properties of Surfactant–Oil–Water Systems at Optimum Formulation Matches the Hofmeister Series Ranking

Vera

Salazar-Rodríguez

Márquez

et al. 2020

J Surfact & Detergents

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In this work, we present the effects of salts on sodium dodecyl benzene sulfonate micellization and on the interfacial performance of a sodium dodecyl benzene sulfonate-heptane-brine system at optimum formulation, i.e., hydrophilic-lipophilic deviation (HLD) = 0. In order to do that, interfacial tension and dilational interfacial rheology properties of surfactant-heptane-water systems at optimum formulation are measured using an interfacial spinning drop tensiometer with an oscillating velocity, which can accurately measure interfacial rheology properties at both low and ultralow interfacial tensions. The brines used contain one of the following salts: MgCl 2 , CaCl 2 , NaCl, NH 4 Cl, NaNO 3 , CH 3 COONa, or Na 2 SO 4 . We performed a one-dimensional salinity scan with each of these salts to achieve an optimum formulation. In relation to the Hofmeister series, we found that, at optimum formulation, systems with chaotropic ions (NH 4 + , NO 3 − ) present interfaces with ultralow interfacial tensions, very low dilational modulus, and a low phase angle, whereas kosmotropic ions (Mg 2+ , Ca 2+ , SO 4 −2 ) generate high interfacial tension and high rigidity monolayers. Intermediate ions in the Hofmeister series (Na + , CH 3 COO − , Cl − ) present interfaces with intermediate properties. Furthermore, according to the Hofmeister series, interfaces can be respectively ordered from higher to lower rigidity for surfactant counterions Mg 2+ > Ca 2+ > Na + > NH 4 + and coions SO 4 2− > CH 3 COO -> Cl − > NO 3 −, which correspond to a saltingout (highest rigidity) and salting-in (lowest rigidity) effect. We observed that counterions have a more significant effect on surfactant-oil-water system properties than those that act as coions.Keywords Hofmeister series Á Interfacial rheology Á Microemulsion Á Micellization Á Salt effects Á Ultralow interfacial tension J Surfact Deterg (2020) 23: 603-615.

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“…There are several molecular thermodynamic theories to account for ion-specific effects on micellization (Warszyński et al 2002;Moreira and Firoozabadi 2010;Danov et al 2014;Lukanov and Firoozabadi 2014;Zhu and Free 2015;Hao et al 2016;Khoshnood et al 2016;Koroleva et al 2019), but their numerical implementation is complex and computationally prohibitive to atmospheric models. As a way forward, a simple approach to estimate the aggregation number n, thermodynamic potentials and equilibrium constant of the micellization reaction could be based e.g.…”

Section: Extensions Of the Cisa Modelmentioning

confidence: 99%

Model for estimating activity coefficients in binary and ternary ionic surfactant solutions

2020

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We introduce the CMC based Ionic Surfactant Activity model (CISA) to calculate activity coefficients in ternary aqueous solutions of an ionic surfactant and an inorganic salt. The surfactant can be either anionic or cationic and in the present development, the surfactant and inorganic salts share a common counterion. CISA incorporates micellization into the Pitzer–Debye–Hückel (PDH) framework for activities of mixed electrolyte solutions. To reduce computing requirements, a parametrization of the critical micelle concentration (CMC) is used to estimate the degree of micellization instead of explicit equilibrium calculations. For both binary and ternary systems, CISA only requires binary experimentally-based parameters to describe water–ion interactions and temperature–composition dependency of the CMC. The CISA model is intended in particular for atmospheric applications, where higher-order solution interaction parameters are typically not constrained by experiments and the description must be reliable across a wide range of compositions. We evaluate the model against experimental activity data for binary aqueous solutions of ionic surfactants sodium octanoate and sodium decanoate, as common components of atmospheric aerosols, and sodium dodecylsulfate, the most commonly used model compound for atmospheric surfactants. Capabilities of the CISA model to describe ternary systems are tested for the water–sodium decanoate–sodium chloride system, a common surrogate for marine background cloud condensation nuclei and to our knowledge the only atmospherically relevant system for which ternary activity data is available. For these systems, CISA is able to provide continuous predictions of activity coefficients both below and above CMC and in all cases gives an improved description of the water activity above the CMC, compared to the alternative model of Burchfield and Wolley [J. Phys. Chem., 88(10), 2149–2155 (1984)]. The water activity is a key parameter governing the formation and equilibrium growth of cloud droplets. The CISA model can be extended from the current form to include the effect of other inorganic salts with the existing database of binary PDH parameters and using appropriate mixing rules to account for ion specificity in the micellization process.

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Specific ion effects on the micellization of aqueous mixed cationic/anionic surfactant systems with various counterions

Cited by 21 publications

References 71 publications

Self-assembly of sodium dodecylsulfate and dodecyltrimethylammonium bromide mixed surfactants with dyes in aqueous mixtures

Self-assembly of sodium dodecylsulfate and dodecyltrimethylammonium bromide mixed surfactants with dyes in aqueous mixtures

How the Influence of Different Salts on Interfacial Properties of Surfactant–Oil–Water Systems at Optimum Formulation Matches the Hofmeister Series Ranking

Model for estimating activity coefficients in binary and ternary ionic surfactant solutions

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