Towards the determination of partition coefficients of cosurfactants at surfactant bilayer interfaces by muon spin resonance spectroscopy

Literature Information

Publication Date 2002-03-25
DOI 10.1039/B201531P
Impact Factor 3.676
Authors

Robert Scheuermann, Ian M. Tucker, Andrew M. Creeth, Herbert Dilger, Bettina Beck, Emil Roduner


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Abstract

Avoided level crossing muon spin resonance (ALC-μSR) studies on the muonated cyclohexadienyl radical derived from the amphiphilic cosurfactant 2-phenylethanol have been used to derive cosurfactant partitioning and local environment information when dispersed in a concentrated lamellar phase dispersion. The study of partitioning at the bilayer/water interface at high surfactant concentrations is technically difficult and has consequently received very little attention. Calibration of the working range of fundamental resonance positions facilitates direct determination of cosurfactant partitioning with respect to the oil/water environment. Additional resonances yield other information about the local environment such as the degree of ordering at bilayer interfaces, thereby presenting a self-consistent picture of the local environment of the tracer molecule.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
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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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