Molecular weight distribution of nonionic surfactants: II. Partition coefficients of normal distribution and homogeneous p, t-octylphenoxyethoxy-ethanols (OPE's)

Crook, E. H.; Fordyce, D. B.; Trebbi, Grazia

doi:10.1016/0095-8522(65)90010-3

Cited by 69 publications

(26 citation statements)

References 9 publications

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“…The experimental variation of the partitioning coefficient of the ethoxylated octylphenol between water and tetradecane obeys the expression where "i" is the number of ethylene oxide groups for each oligomer. This result is consistent with the previously published data [2,[11][12][13][14] with a slight difference in the constant that may be attributed to a different branching of the alkylate [12]. For pure octylbenzene oil, the variation of the partition coefficient is found to be quite different from what would be expected by assuming that octylbenzene (EACN = 8) behaved as noctane, which would be only 0.2 unit lower than for tetradecane, i.e., − 3.6 instead of − 3.4 [14].…”

Section: Oligomer Partitioning Versus Oil Nature and Aromaticitysupporting

confidence: 96%

“…In such a case, the individual behavior of each of the species is dictated by its partitioning coefficient K, which is defined as the ratio of its concentration in water C w to its concentration in oil C o in the absence of micelles. The K value is experimentally accessible by analytical means either from systems containing pure oligomers or commercial mixtures [2]. Since surfactant mixtures are used in many practical cases, this issue is quite important for formulation purposes, because what really matters as far as the properties are concerned is the composition of the mixture which is adsorbed at interface.…”

Section: Introductionmentioning

confidence: 99%

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The selective partitioning of the oligomers of polyethoxylated surfactant mixtures between interface and oil and water bulk phases

Graciaa

Andérez

Bracho

et al. 2006

Advances in Colloid and Interface Science

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Section: Oligomer Partitioning Versus Oil Nature and Aromaticitysupporting

confidence: 96%

Section: Introductionmentioning

confidence: 99%

The selective partitioning of the oligomers of polyethoxylated surfactant mixtures between interface and oil and water bulk phases

Graciaa

Andérez

Bracho

et al. 2006

Advances in Colloid and Interface Science

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“…3 shows that the surfactant's predicted partition coefficient agrees with the experimental data within NRMSE of 2.3%. The experimental errors are reported to be expected within AE8% for the partition coefficients [10,39]. Since the deviation in the prediction is smaller than the expected experimental deviations, it is concluded that the experimental error is within the magnitude of the predicted error.…”

Section: Resultsmentioning

confidence: 83%

“…Experimental data from Refs. [10,39]. The Pred (predicted) values were obtained with the modified UNIFAC model.…”

Section: Resultsmentioning

confidence: 99%

The UNIFAC model and the partition of alkyl and alkylphenol ethoxylate surfactants in the excess phases of middle phase microemulsions

Troncoso

Acosta

2015

Fluid Phase Equilibria

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“…4 For pure surfactant, the partitioning is usually characterized by the partitioning coefficient, which is defined as the ratio of monomeric surfactant concentration in oil to that in aqueous phase. 14,16,18,19 Extensive research has been performed on low concentration (typically lower than aqueous critical micelle concentration (cmc)) partitioning of nonionic surfactants. 14,16,17,[20][21][22][23][24][25][26][27] The partitioning research on higher surfactant concentration solutions, however, has been rarely reported and is limited.…”

mentioning

confidence: 99%

Experimental Investigation and Modeling of the Performance of Pure and Mixed Surfactant Inhibitors: Partitioning and Distribution in Water-Oil Environments

Zhu

Free

2015

J. Electrochem. Soc.

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A critical model of water-oil surfactant distribution has been developed and validated for the evaluation of mixed surfactant partitioning and distribution in water-oil environments. The surfactant distribution model, which is a combination of surfactant partitioning sub-model, partitioning coefficient calculation method, and a developed critical micelle concentration (cmc) prediction sub-model based on previous work, provides a very powerful tool to evaluate the partitioning of mixed surfactants in water-oil environments. Different methods to calculate partitioning coefficients are introduced, which includes transfer free energy method and group contribution method. The partitioning data from model prediction and from experiment agree very well. The mixed micelles start to form in water-oil environments only after the apparent cmc is reached during partitioning. The selective partitioning of one particular surfactant in mixed surfactants can be explained by its apparent cmc which is interpreted as one characteristic of the hydrophobicity/hydrophilicity of that surfactant in water-oil environments. It is believed that the partitioning and distribution of non-homologous mixed surfactants in oil-water environments are evaluated theoretically and experimentally for the first time. The effect of partitioning on corrosion inhibition of mixed surfactants was initially evaluated by modified Langmuir adsorption and by electrochemical measurements. The corrosion inhibition efficiency from model prediction and from experimental measurements is comparable. The use of surfactant inhibitors has received extensive attention in the oil and gas industry for corrosion inhibition of production and transportation pipes (metallic materials, such as steel and copper) in a way that surfactant molecules usually adsorb on steel surface and form a protective film which acts as a barrier to prevent corrosive media penetration and attack. [1][2][3][4] Compared to the production and use of pure surfactants, surfactant mixtures are well known due to the superior physicochemical properties and capabilities in efficient solubilization, adsorption, suspension, and transportation. [5][6][7][8] The solutions of surfactant mixtures can often be conveniently tuned to achieve desired properties by adjusting the mixed surfactant types and molar ratios. More surface-active and expensive surfactants are often mixed with less surface-active and cheaper surfactants to reduce cost.9,10 Natural mixtures of surfactants are sometimes used to avoid the investment in separation processes. However, further studies are required in order to optimize inhibition efficiency of surfactant mixtures and minimize environmental impact.Surfactant molecules have hydrophilic and hydrophobic sections, 7,11,12 which are critical to the adsorption on metal surface and associated corrosion inhibition.2-4 The hydrophilic functional group of surfactant molecules strongly prefers interaction with polar entities such as metals, which is helpful in corrosion inhibition. The hydroph...

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Molecular weight distribution of nonionic surfactants: II. Partition coefficients of normal distribution and homogeneous p, t-octylphenoxyethoxy-ethanols (OPE's)

Cited by 69 publications

References 9 publications

The selective partitioning of the oligomers of polyethoxylated surfactant mixtures between interface and oil and water bulk phases

The selective partitioning of the oligomers of polyethoxylated surfactant mixtures between interface and oil and water bulk phases

The UNIFAC model and the partition of alkyl and alkylphenol ethoxylate surfactants in the excess phases of middle phase microemulsions

Experimental Investigation and Modeling of the Performance of Pure and Mixed Surfactant Inhibitors: Partitioning and Distribution in Water-Oil Environments

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