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首页> 外文期刊>Polymer: The International Journal for the Science and Technology of Polymers >Sorption and diffusion of moisture in silica-polyacrylamide nanocomposite films
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Sorption and diffusion of moisture in silica-polyacrylamide nanocomposite films

机译:二氧化硅 - 聚丙烯酰胺纳米复合膜中水分的吸附和扩散

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Nanoparticles (NPs) have been demonstrated in recent years to simultaneously enhance polymeric nanocomposite membrane selectivity and permeability according to the polymer/NP/penetrant. With a repulsive polymer-NP interaction, permselectivity is enhanced by NP loading, which is thought to adjust the permeability by locally disturbing polymer conformation. In this paper, we examine another mechanism for controlling nanocomposite permeability. We focus on the interfacial sorption capacity and mobility of water-vapour through nanocomposites comprising spherical silica NPs embedded in cross-linked polyacrylamide. Equilibrium and dynamic moisture sorption data are interpreted with a quantitative theoretical model that addresses equilibrium and dynamic partitioning of the tracer between interfacial and continuous phases. The results demonstrate significant and systematic changes in non-classical diffusion behaviour. Our interpretation indicates that polyacryamide adsorption on silica NPs varies the number of available surface adsorption sites, thus controlling adsorption capacity and interfacial mobility. Such effects can therefore be tuned by varying the specific NP surface area, which increases with NP loading and decreases with NP size. These insights will hopefully improve rational design strategies for nanocomposite membranes. (C) 2017 Elsevier Ltd. All rights reserved.
机译:近年来已经证明了纳米颗粒(NPS),同时提高聚合物纳米复合膜选择性和渗透性,根据聚合物/ NP /渗透剂。通过排斥性聚合物-NP相互作用,NP负载增强了偏移能量,这被认为通过局部扰乱聚合物构象来调节渗透性。在本文中,我们研究了一种控制纳米复合材料渗透性的另一种机制。我们专注于纳米复合材料的界面吸收能力和迁移率,所述纳米复合材料包括嵌入交联聚丙烯酰胺的球形二氧化硅NP。用定量理论模型解释平衡和动态水分吸附数据,其解决界面和连续阶段之间的示踪剂的平衡和动态分配。结果表明了非古典扩散行为的显着和系统的变化。我们的解释表明,二氧化硅NPS上的聚酰胺吸附变化了可用表面吸附位点的数量,从而控制吸附能力和界面迁移率。因此,可以通过改变特定的NP表面积来调谐这些效果,这与NP负载增加并随NP尺寸的降低而增加。这些见解希望提高纳米复合膜的合理设计策略。 (c)2017 Elsevier Ltd.保留所有权利。

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