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GRAND CANONICAL BROWNIAN DYNAMICS SIMULATION OF COLLOIDAL ADSORPTION

机译:胶体吸附的经典正布朗动力学模拟

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A dynamic simulation of colloidal adsorption has been developed to probe the effects of colloidal interactions on the kinetics and extent of adsorption. The simulation accounts for diffusion by Brownian dynamics to a homogeneous planar adsorption surface from a region of constant chemical potential. A grand canonical Monte Carlo routine is used periodically to re-equilibrate this region. Particle motion in the plane of the surface is subject to either unrestricted diffusion or zero diffusion. Deryaguin-Landau-Verwey-Overbeek pair potentials are used to characterize both particle-particle and particle-surface interactions. The pair potential parameters were chosen to mimic (separately) polystyrene latex microspheres and small globular proteins, two classes of charged colloidal particles for which experimental adsorption data exist. The simulation qualitatively captures the variation in adsorptive capacity with ionic strength distinct to each system: fractional coverage increases for polystyrene latex adsorption but decreases for protein adsorption with increasing salt concentration. In the former, strong lateral repulsion between adsorbed particles appears to govern the extent of adsorption, whereas in the latter, the extent of adsorption is more strongly affected by the screening of the weak attraction between the particle and the surface. Excellent quantitative predictions for polystyrene latex adsorption with and without surface diffusion are obtained without adjustable parameters. (C) 1997 American Institute of Physics. [References: 47]
机译:已经开发了胶体吸附的动态模拟,以探究胶体相互作用对吸附动力学和程度的影响。该模拟说明通过布朗动力学从化学势恒定的区域扩散到均匀的平面吸附表面的情况。定期使用宏大规范的蒙特卡洛例程来重新平衡该区域。表面平面中的粒子运动会受到无限制扩散或零扩散的影响。 Deryaguin-Landau-Verwey-Overbeek对势用于表征粒子-粒子相互作用和粒子-表面相互作用。选择成对的潜在参数来模拟(分别)聚苯乙烯乳胶微球和小球状蛋白质,这是两类带电的胶体粒子,它们具有实验吸附数据。该模拟定性地捕获了吸附能力的变化,离子强度随每个系统的不同而不同:聚苯乙烯胶乳吸附的分数覆盖率随盐浓度的增加而降低。在前者中,吸附颗粒之间的强侧向排斥似乎决定了吸附的程度,而在后者中,吸附程度受颗粒与表面之间的弱吸引力的筛选的影响更大。在没有可调整参数的情况下,可以获得有和没有表面扩散的聚苯乙烯胶乳吸附的出色定量预测。 (C)1997美国物理研究所。 [参考:47]

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