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Lattice Monte Carlo simulations of mixed surfactant systems and polymer surfactant systems.

机译:混合表面活性剂体系和聚合物表面活性剂体系的Lattice Monte Carlo模拟。

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A lattice Monte Carlo Model is developed to examine “mixed” surfactant systems, or more specifically, (i) the non-ideal mixing behavior of binary surfactant solutions, (ii) the growth of large aggregates in binary surfactant solutions, and (iii) mixtures of polymer and surfactant in dilute aqueous solutions.; Simulated critical micelle concentrations (CMC) of binary surfactant systems are compared with the predictions of both a molecular thermodynamic theory and a regular solution theory. The simulated CMC as a function of overall surfactant composition is in reasonable agreement with the theoretical models when a fitted value for the interaction parameter, β, is used. The fitted value is in good agreement with a value estimated a priori from the lattice model for the surfactants with attractive head groups, but there are large discrepancies for the case of repulsive head groups. The discrepancies in the latter are caused by non-random mixing, i.e., segregation of the two-surfactants within each micelle.; A novel simulation approach is developed to accelerate the formation of diffusion-limited large aggregates in an effort to examine the stable microstructures in the micelle-to-vesicle transition. Our simulation results indicate the evolution of microstructures exhibits four distinct morphologies; (i) initially, the amphiphile mixture aggregates into spherical micelles; (ii) as micelles collide they grow and eventually transition into rod-shaped aggregates; (iii) the rods grow into wormy, polymer-like micelles; (iv) finally the wormy micelles interconnect to form a network of disk-shaped aggregates. While unable to produce a vesicle on the small boxes to which our simulations are limited, these intermediate structures correspond quite well with those seen in experimental studies.; From the investigation in polymer-surfactant systems, we are able to capture images of polymer-surfactant complexation that match generally accepted structure for these complexes. However, plots of the free monomer concentration versus the total surfactant concentration fail to show the expected behavior at the critical aggregation concentration (CAC), where polymer-bound micelles begin to form, and at the critical concentration for the formation of free micelles. This failure of the model can be traced to a combination of weak binding of micelles to polymers and large simulation errors, due to the finite box-size effects.
机译:开发了格子蒙特卡洛模型来检查“混合”表面活性剂体系,或更具体地说,(i)二元表面活性剂溶液的非理想混合行为,(ii)二元表面活性剂溶液中大聚集体的生长,以及(iii)聚合物和表面活性剂在稀水溶液中的混合物。将二元表面活性剂系统的模拟临界胶束浓度(CMC)与分子热力学理论和常规溶液理论的预测值进行了比较。当使用相互作用参数β的拟合值时,作为整体表面活性剂组成函数的模拟CMC与理论模型合理吻合。拟合值与具有有吸引力的头基的表面活性剂的根据晶格模型先验估计的值高度吻合,但是排斥头基的情况存在较大差异。后者的差异是由非随机混合引起的,即每个胶束中两种表面活性剂的分离。开发了一种新颖的模拟方法来加速扩散受限的大聚集体的形成,以努力检查胶束-囊泡过渡过程中的稳定微观结构。我们的仿真结果表明,微观结构的演变表现出四种不同的形态。 (i)首先,两亲混合物会聚集成球形胶束; (ii)当胶束碰撞时,它们会生长并最终转变为棒状聚集体; (iii)杆长成蠕虫状的聚合物状胶束; (iv)最后,蠕虫胶束相互连接形成盘状聚集体网络。虽然无法在我们的模拟受限的小盒子上产生囊泡,但这些中间结构与实验研究中看到的非常吻合。通过对聚合物表面活性剂系统的研究,我们能够捕获与这些复合物普遍认可的结构相匹配的聚合物表面活性剂复合物的图像。但是,游离单体浓度与表面活性剂总浓度的关系图未能显示出在临界聚集浓度(CAC)处的预期行为,在临界聚集浓度处开始形成聚合物结合的胶束,而在临界浓度下形成游离胶束。由于有限的盒子大小效应,模型的这种失败可以追溯到胶束与聚合物的弱结合和大的模拟误差的结合。

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