CO2-induced micelle to vesicle transition in zwitterionic–anionic surfactant systems

文献情報

出版日 2013-12-18

DOI 10.1039/C3CP54537G

インパクトファクター 3.676

著者

Wei Li, Yanjuan Yang, Tian Luo, Jianling Zhang, Buxing Han

原文を見る

要旨

Study of micelle to vesicle transition (MVT) is of great importance from both theoretical and practical points of view. In this work, we studied the effect of compressed CO2 on the aggregation behavior of zwitterionic–anionic (DSB (dodecyl sulfonatebetaine)–AOT(sodium bis(2-ethylhexyl) sulfosuccinate)) mixed surfactants in aqueous solution by means of direct observation, turbidity, steady-state fluorescence, fluorescence quantum yield, and entrapment quantity of vesicles. Interestingly, all the methods show that compressed CO2 can induce MVT in this zwitterionic–anionic surfactant system. The CO2-induced MVT is reversible and the degree of MVT can be easily tuned by controlling the operation pressure. Further studies show that the pH decrease and dissolution of gas molecules in the surfactant film co-contribute to the MVT, and a possible mechanism for the CO2-induced MVT was proposed based on the experimental results.

掲載誌

Physical Chemistry Chemical Physics

CiteScore: 5.5

自己引用率: 10.3%

年間論文数: 3036

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.