Conductivity of mixed surfactant water-in-oil microemulsions

Literature Information

Publication Date 2004-01-13
DOI 10.1039/B312192E
Impact Factor 3.676
Authors

Ali Bumajdad, Julian Eastoe


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Abstract

The electrical conductivity of D2O-in-n-heptane (or in-p-xylene) microemulsions stabilized by a mixture of the cationic surfactant di-n-didodecyldimethylammonium bromide, DDAB, and either the CIEJ non-ionic surfactants, or polymeric nonionic surfactants of the type PEO-PPO-PEO, Pluronic®, was investigated as a function of D2O content and surfactant mixture composition. It was found that the change in conductivity as a result of partially replacing the cationic surfactant by the non-ionic is due to the change in droplet size, and not a decrease in ionic strength. This was concluded from the following observations: (1) when the droplet size was held constant, the conductivity was constant even for samples with different water droplet ionic strengths, (2) good agreement was found between the measured conductivities and those predicted by charge fluctuation model (CFM) even though the ionic strength (not considered in CFM) is varied, and finally (3) graphical analyses of conductivities for microemulsions stabilized by different cationic-nonionic surfactant mixtures result in curves similar to those expected for microemulsions stabilized by ionic surfactant only. These results show clearly that mixing cationic and non-ionic surfactants is useful in testing and supporting microemulsion conductivity models.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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