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pH-Responsive Self-Assembly of Cationic Surfactants with a Star-Shaped Tetra-Carboxylate Acid and Their Solubilization for Hydrophobic Drugs

Abstract

This work has constructed pH-responsive self-assembly systems by a pH-sensitive four-arm carboxylate acid (4EOCOOH) and cationic single chain surfactant dodecyl trimethyl ammonium bromide (DTAB) or cationic gemini surfactant hexamethylene-1,6-bis(dodecyldimethylammonium bromide) (12-6-12). It was found that the constructed oligomeric-like structures by the mixtures of 4EOCOOH with DTAB or 12-6-12 greatly enhance the aggregation ability of the mixtures, thus improving the pH-responsibility. In particular, surfactant concentrations significantly affect the pH-responsibility at fixed 4EOCOOH concentration. At higher surfactant concentration, the pH-responsibility is suppressed, while at lower surfactant concentration, the mixed aggregates gradually change from micelles to unstable large spherical aggregates or vesicles, and stable spherical aggregates with decreasing pH. Moreover, the surfactant/4EOCOOH systems have different solubilization effects on three hydrophobic drugs. For quercetin and baicalein, the systems have much better solubilization at lower pH values. While for indomethacin, the systems have better solubilization at higher pH values. In particular, compared with DTAB, 12-6-12 is more efficient in constructing pH-responsive systems, and the 12-6-12/4EOCOOH mixture shows better ability in solubilizing hydrophobic drugs. This work will be helpful to design high-efficient pH-responsive surfactant systems for solubilizing hydrophobic drugs by simply mixing pH-sensitive molecules with surfactants.

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Publication details

The article was received on 26 Sep 2017, accepted on 12 Oct 2017 and first published on 12 Oct 2017


Article type: Paper
DOI: 10.1039/C7SM01940H
Citation: Soft Matter, 2017, Accepted Manuscript
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    pH-Responsive Self-Assembly of Cationic Surfactants with a Star-Shaped Tetra-Carboxylate Acid and Their Solubilization for Hydrophobic Drugs

    R. Qi, L. Zhang, C. Zhou, Y. Han and Y. Wang, Soft Matter, 2017, Accepted Manuscript , DOI: 10.1039/C7SM01940H

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