Molecular Interactions and Responsive Locations of CO2-Responsive Surfactants in an Oil–Water–Surfactant System: Molecular Dynamics Simulation and Free Energy Perturbation

化学物理 分子动力学 化学 吉布斯自由能 分子间力 反离子 胶束 肺表面活性物质 脱质子化 水溶液 分子内力 质子 表面张力 自由能微扰 计算化学 离子 分子 热力学 物理化学 有机化学 量子力学 物理 生物化学
作者
Xuantong Lei,Benjieming Liu,Zhangxin Chen
出处
期刊:Langmuir [American Chemical Society]
卷期号:40 (52): 27323-27331 被引量:2
标识
DOI:10.1021/acs.langmuir.4c03466
摘要

Understanding the mechanism of a CO2-responsive surfactant is essential for enhancing its industrial applications. Conventional experimental methods face challenges in pinpointing the exact location of proton transfer within the system and in accurately describing the impact of intermolecular and intramolecular interactions on the CO2 responsiveness of such substances. To address this gap, this study employs molecular dynamics simulations and free energy perturbation methods to investigate the proton transfer process between a CO2-responsive cationic surfactant N'-dodecyl-N,N-dimethylacetamidinium (DMAAH+) and its counterion bicarbonate ion at the oil-water interface and micelle surface and in the bulk aqueous phase. Molecular dynamics simulations identified potential locations for the proton transfer process within the system and elucidated the types of interactions contributing to changes in Gibbs free energy. Subsequently, free energy perturbation was employed to calculate Gibbs free energy changes associated with proton transfer at different locations. The respective contributions of various intramolecular and intermolecular interactions were then compared and analyzed. It has been revealed that the deprotonation process is not thermodynamically spontaneous at all three responsive locations. The proton transfer occurs more frequently at the oil-water interface than at the micelle surface and is less common in the bulk aqueous phase. The findings enhance our understanding of the fundamental mechanisms governing the responsiveness of CO2-responsive surfactants and provide valuable insights for their practical application in industrial processes.
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