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聚合物链的拥挤和纳米粒子-聚合物混合物的相分离。

Crowding of polymer coils and demixing in nanoparticle-polymer mixtures.

机构信息

Department of Physics, North Dakota State University, Fargo, ND 58108-6050, USA.

出版信息

J Phys Condens Matter. 2011 Jul 20;23(28):285102. doi: 10.1088/0953-8984/23/28/285102. Epub 2011 Jun 28.

Abstract

The Asakura-Oosawa-Vrij (AOV) model of colloid-polymer mixtures idealises nonadsorbing polymers as effective spheres that are fixed in size and impenetrable to hard particles. Real polymer coils, however, are intrinsically polydisperse in size (radius of gyration) and may be penetrated by smaller particles. Crowding by nanoparticles can affect the size distribution of polymer coils, thereby modifying effective depletion interactions and thermodynamic stability. To analyse the influence of crowding on polymer conformations and demixing phase behaviour, we adapt the AOV model to mixtures of nanoparticles and ideal, penetrable polymer coils that can vary in size. We perform Gibbs ensemble Monte Carlo simulations, including trial nanoparticle-polymer overlaps and variations in the radius of gyration. Results are compared with predictions of free-volume theory. Simulation and theory consistently predict that ideal polymers are compressed by nanoparticles, and that compressibility and penetrability stabilise nanoparticle-polymer mixtures.

摘要

Asakura-Oosawa-Vrij (AOV) 模型将非吸附聚合物理想化,认为其为固定大小且不可穿透硬颗粒的有效球体。然而,实际的聚合物线圈在尺寸(回转半径)上本质上是多分散的,并且可能会被较小的颗粒穿透。纳米颗粒的拥挤会影响聚合物线圈的大小分布,从而改变有效耗散相互作用和热力学稳定性。为了分析拥挤对聚合物构象和相分离行为的影响,我们将 AOV 模型改编为纳米颗粒和理想、可穿透聚合物线圈的混合物,其大小可以变化。我们进行 Gibbs 系综蒙特卡罗模拟,包括尝试纳米颗粒-聚合物重叠和回转半径的变化。结果与自由体积理论的预测进行比较。模拟和理论一致预测,理想聚合物被纳米颗粒压缩,压缩性和可穿透性稳定了纳米颗粒-聚合物混合物。

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