Preparation and Evaluation of Monodisperse Nonionic Surfactants Based on Fluorine-Containing Dicarbamates

Mureau, Natacha; Trabelsi, H.; Guittard, Frédéric; Géribaldi, Serge

doi:10.1006/jcis.2000.7037

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Cited by 6 publications

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“…In addition to the 77 CMC values previously studied, we included 85 newly available CMCs all measured at 25 °C in water containing no additional salts, cosurfactants, or other additives. The current data set contains several classes of linear ethoxylated alcohols and octylphenols, a large number of carbohydrate derivatives, and dimeric surfactants gathered from references , , , , , and − . As previously, a logarithmic transformation of CMC (given in molar units) was used in order to improve the normal distribution of the experimental data.…”

Section: Data Setmentioning

confidence: 99%

QSPR Study of Critical Micelle Concentrations of Nonionic Surfactants

Katritzky

Pacureanu

Slavov

et al. 2008

Ind. Eng. Chem. Res.

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Linear and nonlinear predictive models are derived for a data set of 162 nonionic surfactants. The descriptors in the derived models relate to the molecular shape and size and to the presence of heteroatoms participating in donor-acceptor and dipole-dipole interactions. Steric hindrance in the hydrophobic area also plays an important role in micellization. The derived linear and nonlinear QSPR models could be useful to predict the CMCs of broad classes of nonionic surfactants.

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