Flow-injection system for determination of critical micelle concentrations of ionic and nonionic surfactants

Brooks, Stephen H.; Berthod, Alain; Kirsch, B.; Dorsey, John G.

doi:10.1016/s0003-2670(00)84554-7

Cited by 14 publications

(10 citation statements)

References 14 publications

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“…CMC is experimentally obtained by monitoring the variation of a physicochemical property of the solution with changing surfactant concentration (5). Some of the physical properties that have been used for this purpose include solution detergency, viscosity, density, electric conductivity (6), surface tension (7), osmotic pressure, refractive index, and light scattering.…”

mentioning

confidence: 99%

Prediction of critical micelle concentration of some anionic surfactants using multiple regression techniques: A quantitative structure‐activity relationship study

Jalali‐Heravi¹,

Konouz²

2000

J Surfact & Detergents

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Computer-assisted methods were employed to develop a statistical relationship between molecular-based structural parameters and log critical micelle concentration (CMC) of some anionic surfactants. The CMC of 31 alkyl sulfates and alkanesulfonates were used for model generation. Among different models, two equations were selected as the best, and their specifications are given. The statistics of these models together with cross-validation results indicate the capability of both models to predict the CMC of anionic surfactants. Three descriptors of Wiener number, reciprocal of the dipole moment, and reciprocal of the Randic index appear in the models. Results indicate that topological characteristics, such as compactness and branching of anionic surfactants, play major roles in micelle formation. Polarity of the molecules is also important, but its effect is less than that of topology of the surfactants.

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confidence: 99%

Prediction of critical micelle concentration of some anionic surfactants using multiple regression techniques: A quantitative structure‐activity relationship study

Jalali‐Heravi¹,

Konouz²

2000

J Surfact & Detergents

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“…In this work, the concentration of Triton X-100 (the upper limit of the linearity was 5.6 × 10 6 mol/L) is much lower than its critical micelle concentration (CMC = 3.0 × 10 4 mol/L [1,2]). Therefore, Triton X-100 exists as a single molecule in aqueous solution.…”

Section: Figurementioning

confidence: 86%

“…In addition to the extensive studies of its physical properties such as critical micelle concentration [1,2], viscosity [3] and cloud point [4], the quantitative determination of Triton X-100 has been actively explored. The reported quantitative methods include ultra-violet spectrophotometry [5,6], atom absorption spectroscopy (AAS) [7][8][9], indirect tensammetry [10][11][12], high-performance liquid chromatography (HPLC) [13,14] and electrochemistry [15].…”

Section: Introductionmentioning

confidence: 99%

Absorption, fluorescence and resonance Rayleigh scattering spectra of hydrophobic hydrogen bonding of eosin Y/Triton X-100 nanoparticles and their analytical applications

Kong

Liu

et al. 2010

Sci. China Chem.

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In a weak acidic medium (pH 2.4-2.8), eosin Y molecules (H 2 L) could replace water molecules to associate with Triton X-100 to form hydrophobic hydrogen bonding complexes. These complexes could further aggregate to form nanoparticles through the squeezing action of the water phase and Van Der Waals force, resulting in changes in the absorption spectrum and fluorescence quenching of EY as well as the significant enhancement of resonance Rayleigh scattering. This enables the sensitive determination of Triton X-100 using the fading spectrophotometry, fluorescence quenching method and RRS method. Among them, the RRS method shows the highest sensitivity with a detection limit of 20.6 ng mL 1 for Triton X-100. The optimum experimental conditions and factors that affect the absorption, fluorescence and RRS spectra were tested. The effects of coexisting substances were investigated and the results showed good selectivity. Based on these results, new spectrophotometric methods, fluorescence quenching method and RRS method for the determination of Triton X-100, were established. The hydrogen bonding association of eosin Y with Triton X-100 and the formation of nanoparticles as well as their effects on related spectral characteristics were discussed utilizing infrared, transmission electron microscope technique and quantum chemical method. eosin Y, Triton X-100, resonance Rayleigh scattering, fluorescence quenching, absorption spectrum

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“…The CMC of nonionic surfactants has been determined using many methods e.g. surface tension, dye solubilization, ketoenol totomer [5], polarographic method [6],¯ow injection systems [7], turbidimetry [8], laser light scattering [9] and 13 C NMR techniques [10]. In most of these techniques extensive solution preparation and repetitive measurements are required which exhaust both the material resources and the time of the experimenter.…”

Section: Introductionmentioning

confidence: 99%

Use of Quantitative Structure Activity Relationships in Prediction of CMC of Nonionic Surfactants

Jalali‐Heravi

Konouz

2000

Quant. Struct.-Act. Relat.

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The CMC of a set of 51 alkylpolyoxyethylene glycol ethers, R(EO) m , and alkylphenol (ethylene oxide) ethers, Rf(EO) m , was related to topological, electronic and molecular structure parameters using a stepwise regression method. In development of the models linear and quadratic terms were used without the use of cross terms. Different strategies including Akaike Information Criterion (AIC) were used for choosing the best model. Speci®cation of the best model in agreement with the experiment indicates that volume of the hydrophobic group and surface area of the molecule play a major role in the mechanism of micellization of nonionic surfactants. It was demonstrated that the CMC of these compounds depend upon the orientation of carbon atoms at the interface of two phases. The predicted values of CMC using the best model for R(EO) m molecules containing even number of EO groups are better than that for the molecules with odd number of EOs. * To receive all correspondence Abbreviations: CMC, Critical Micelle Concentration; MLR, Multiple linear regression; VT, Volume of tail of the molecule; S, Surface area of the molecule; RA, Randic index; HEAT, Heat of formation; E, Total energy; V, Volume of the molecule; VH, Volume of head of the molecule; SE, Standard error.

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Flow-injection system for determination of critical micelle concentrations of ionic and nonionic surfactants

Cited by 14 publications

References 14 publications

Prediction of critical micelle concentration of some anionic surfactants using multiple regression techniques: A quantitative structure‐activity relationship study

Prediction of critical micelle concentration of some anionic surfactants using multiple regression techniques: A quantitative structure‐activity relationship study

Absorption, fluorescence and resonance Rayleigh scattering spectra of hydrophobic hydrogen bonding of eosin Y/Triton X-100 nanoparticles and their analytical applications

Use of Quantitative Structure Activity Relationships in Prediction of CMC of Nonionic Surfactants

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