用非线性Poisson−Boltzmann方程和静电自由能模型模拟胶束催化的双分子离子反应

IF 1.5 4区 化学 Q4 CHEMISTRY, PHYSICAL
Arnab Karmakar, Sumit Kumar Jana
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引用次数: 0

摘要

研究了氢氧化钠在十六烷基三甲基溴化铵胶束溶液中对结晶紫(CV)和对硝基苯乙酸酯(PNPA)的水解反应。结合静电势场中离子种类的玻尔兹曼概率,在由反应物和表面活性剂组成的胶束池中建立了非线性泊松-玻尔兹曼方程,建立了具有数值格式的模型。数值解给出了胶束相中的离子种类分布和胶束相半径。胶束相介电常数在39.8 ~ 54.4之间变化。利用静电和偶极自由能模型确定了胶束相的二级反应速率常数。CV和PNPA碱性水解的总体二阶速率常数分别是水中相应值的3 ~ 5倍和1.4倍。反应速率的增强是由于在细胞区域中活性离子种类的分布以及离子和极性反应物之间的库仑相互作用和偶极相互作用的增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of micellar-catalyzed bimolecular ionic reactions by a nonlinear Poisson−Boltzmann equation and an electrostatic free energy model

The hydrolysis reactions of crystal violet (CV) and p-nitrophenyl acetate (PNPA) by sodium hydroxide in cetyltrimethylammonium bromide (CTAB) micellar solution were studied in this work. Combined with the Boltzmann probability of ionic species in an electrostatic potential field, a model with a numerical scheme was developed based on the nonlinear Poisson−Boltzmann equation in the micelle-cell consisting of the reactants and the surfactant. The numerical solution gives the ionic species distribution in the micelle phase and the radius of the micelle-phase. The dielectric constant of the micelle-phase varies in the range of 39.8−54.4. The second-order reaction rate constants in the micelle-phase were determined using the electrostatic and dipolar free energy models. For the basic hydrolysis of CV and PNPA, the overall second-order rate constants are three to five times and 1.4 times greater than the corresponding values in water, respectively. The rate enhancement occurs due to the distribution of the reactive ionic species in the cell region and the enhancement of the Coulombic and dipolar interactions among the ionic and polar reactants.

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来源期刊
CiteScore
3.30
自引率
6.70%
发文量
74
审稿时长
3 months
期刊介绍: As the leading archival journal devoted exclusively to chemical kinetics, the International Journal of Chemical Kinetics publishes original research in gas phase, condensed phase, and polymer reaction kinetics, as well as biochemical and surface kinetics. The Journal seeks to be the primary archive for careful experimental measurements of reaction kinetics, in both simple and complex systems. The Journal also presents new developments in applied theoretical kinetics and publishes large kinetic models, and the algorithms and estimates used in these models. These include methods for handling the large reaction networks important in biochemistry, catalysis, and free radical chemistry. In addition, the Journal explores such topics as the quantitative relationships between molecular structure and chemical reactivity, organic/inorganic chemistry and reaction mechanisms, and the reactive chemistry at interfaces.
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