Experimental and thermodynamic analysis of mixed micelles formed by dodecylethylmethacrylatedimethylammonium bromide and tetradecyltrimethylammonium bromide

Pereyra, Rodolfo G.; Fernández-Leyes, Marcos D.; Silbestri, Gustavo F.; Durand, Guillermo; Schulz, Pablo C.; Ritacco, Hernán; Schulz, Erica P.

doi:10.1016/j.colsurfa.2020.126118

Cited by 9 publications

(6 citation statements)

References 47 publications

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“…The measurement of the composition of mixed micelles is relatively rare. Further, some methods used ion specific electrodes (Hall et al, 1992; Pereyra et al, 2021; Peyre, 2002; Rodriguez et al, 2012; Serafini et al, 2018), and ultrafiltration membranes (Huang & Somasundaran, 1996; Osborne‐Lee et al, 1985) can be questioned; the former because of whether there is any overlap with other species and the latter because micelles can dissociate and travel to the permeate side of the membrane. Pulsed gradient NMR (Gharibi et al, 2005; Misselyn‐Bauduin et al, 2000) would seem to have no issues with distinguishing the two species.…”

Section: Micellizationmentioning

confidence: 99%

Surfactant mixtures: A short review

Grady

2022

J Surfact & Detergents

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Every commercial formulation that contains surfactant contains a mixture of surfactants. This chapter is a short review on surfactant mixtures in water focusing on important concepts that differ from single‐component systems. The chapter assumes a basic understanding of surfactants. Topics include micelles; adsorption at the air–water, oil–water, and water–solid interfaces; and phase behavior/precipitation. Mixtures of surfactant types that are important in applications are emphasized. In addition, those molecular aspects that affect macroscopic behavior, especially macroscopic behavior that is important for applications of surfactants, are emphasized.

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Section: Micellizationmentioning

confidence: 99%

Surfactant mixtures: A short review

Grady

2022

J Surfact & Detergents

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“…Pereyra et al [ 31 ] studied mixtures of two cationic surfactants, a conventional one, tetradecyltrimethylammonium bromide (TTAB), and a polymerizable surfactant (PS), methylammonium dodecylethylmethacrylate bromide. They analyzed conductivity data of the mixtures using three methods, the excess specific conductivity method, the Carpena method discussed above [ 6 ], and the concentration model (Equations (7) and (12)).…”

Section: Application To Different Techniquesmentioning

confidence: 99%

“…One of the advantages of the concentration model (7) and (12) over graphical or procedural methods is the possibility to perform global analysis, sharing some of the parameters of the model among the fits to all curves of a series, for example among conductivity titration curves measured at different temperatures. Global fits of a model to series of data reduces the number of fitting parameters and thus the effect of parameter correlation [ 31 , 32 , 33 , 34 , 35 , 36 ].…”

Section: Application To Different Techniquesmentioning

confidence: 99%

“… Relative transition width r as function of the mole ratio α PS of mixtures of TTAB and PS reported by Pereyra et al [ 31 ]. The dashed line is a fit of Clint’s model r = 1/[(1 − α PS )/ r TTAB + α PS / r PS ] to the data with r TTAB = 0.105 and r PS = 0.31.…”

Section: Figure A1mentioning

confidence: 99%

“…The data presented in Figure 2 , Figure 3 and Figure A1 are available in [ 37 ] and that of Figure A2 in the SI of [ 31 ]. Fitting functions of the concentration model are available on the web page of the authors.…”

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confidence: 99%

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A Surfactant Concentration Model for the Systematic Determination of the Critical Micellar Concentration and the Transition Width

Al‐Soufi

Novo

2021

Molecules

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The critical micellar concentration (cmc) is a fundamental property of surfactant solutions. Many proposed methods for the definition and determination of the cmc from property-concentration plots yield values, which depend on the studied property, on the specific technique used for its analysis and in many cases on the subjective choice of the chosen type of plot and concentration interval. In this focus review, we revise the application of a surfactant concentration model we proposed earlier that defines the cmc directly based on the surfactant concentration. Known equations for the concentration-dependence of different surfactant properties can then be combined with this concentration model and fitted to experimental data. This modular concept makes it possible to determine the cmc and the transition width in a systematic and unambiguous way. We revise its use in the literature in different contexts: the determination of the cmc of surfactants and their mixtures from different properties (electrical conductivity, NMR chemical shift, self-diffusion, surface tension, UV-Vis absorption, fluorescence intensity and fluorescence correlation). We also revise the dependence of the width of the transition region on composition, detailed studies of the properties of fluorescent probes and the aggregation of non-surfactant systems, namely amyloid peptides.

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