Xavier Priti, Rao Praveen, Bose Suryasarathi
Department of Materials Engineering, Indian Institute of Science, Bangalore-560012, India.
Phys Chem Chem Phys. 2016 Jan 7;18(1):47-64. doi: 10.1039/c5cp05852j. Epub 2015 Nov 25.
The use of copolymer and polymer blends widened the possibility of creating materials with multilayered architectures. Hierarchical polymer systems with a wide array of micro and nanostructures are generated by thermally induced phase separation (TIPS) in partially miscible polymer blends. Various parameters like the interaction between the polymers, concentration, solvent/non-solvent ratio, and quenching temperature have to be optimized to obtain these micro/nanophase structures. Alternatively, the addition of nanoparticles is another strategy to design materials with desired hetero-phase structures. The dynamics of the polymer nanocomposite depends on the statistical ordering of polymers around the nanoparticle, which is dependent on the shape of the nanoparticle. The entropic loss due to deformation of polymer chains, like the repulsive interactions due to coiling and the attractive interactions in the case of swelling has been highlighted in this perspective article. The dissipative particle dynamics has been discussed and is correlated with the molecular dynamics simulation in the case of polymer blends. The Cahn-Hillard-Cook model on variedly shaped immobile fillers has shown difference in the propagation of the composition wave. The nanoparticle shape has a contributing effect on the polymer particle interaction, which can change the miscibility window in the case of these phase separating polymer blends. Quantitative information on the effect of spherical particles on the demixing temperature is well established and further modified to explain the percolation of rod shaped particles in the polymer blends. These models correlate well with the experimental observations in context to the dynamics induced by the nanoparticle in the demixing behavior of the polymer blend. The miscibility of the LCST polymer blend depends on the enthalpic factors like the specific interaction between the components, and the solubility product and the entropic losses occurring due to the formation of any favorable interactions. Hence, it is essential to assess the entropic and enthalpic interactions induced by the nanoparticles independently. The addition of nanoparticles creates heterogeneity in the polymer phase it is localized. This can be observed as an alteration in the relaxation behavior of the polymer. This changes the demixing behavior and the interaction parameter between the polymers. The compositional changes induced due to the incorporation of nanoparticles are also attributed as a reason for the altered demixing temperature. The particle shape anisotropy causes a direction dependent depletion, which changes the phase behavior of the blend. The polymer-grafted nanoparticles with varying grafting density show tremendous variation in the miscibility of the blend. The stretching of the polymer chains grafted on the nanoparticles causes an entropy penalty in the polymer blend. A comparative study on the different shaped particles is not available up to date for understanding these aspects. Hence, we have juxtaposed the various computational studies on nanoparticle dynamics, the shape effect of NPs on homopolymers and also the cases of various polymer blends without nanoparticles to sketch a complete picture on the effect of various particles on the miscibility of LCST blends.
共聚物和聚合物共混物的使用拓宽了制备具有多层结构材料的可能性。通过部分互溶聚合物共混物中的热致相分离(TIPS)可生成具有多种微观和纳米结构的分级聚合物体系。为获得这些微/纳米相结构,必须优化各种参数,如聚合物之间的相互作用、浓度、溶剂/非溶剂比例以及淬火温度。另外,添加纳米粒子是设计具有所需异相结构材料的另一种策略。聚合物纳米复合材料的动力学取决于聚合物围绕纳米粒子的统计有序排列,这取决于纳米粒子的形状。在这篇观点文章中强调了聚合物链变形导致的熵损失,如卷曲引起的排斥相互作用以及溶胀情况下的吸引相互作用。讨论了耗散粒子动力学,并将其与聚合物共混物情况下的分子动力学模拟相关联。在形状各异的固定填料上的Cahn-Hillard-Cook模型显示了成分波传播的差异。纳米粒子形状对聚合物-粒子相互作用有影响,在这些相分离聚合物共混物中,这会改变互溶窗口。关于球形粒子对分层温度影响的定量信息已得到充分确立,并进一步修正以解释棒状粒子在聚合物共混物中的渗滤现象。这些模型与纳米粒子在聚合物共混物分层行为中引起的动力学相关的实验观察结果相关性良好。LCST聚合物共混物的互溶性取决于焓因素,如组分之间的特定相互作用、溶解度积以及由于形成任何有利相互作用而产生的熵损失。因此,独立评估纳米粒子引起的熵和焓相互作用至关重要。纳米粒子的添加在其所在的聚合物相中产生了不均匀性。这可表现为聚合物松弛行为的改变。这改变了分层行为以及聚合物之间的相互作用参数。由于纳米粒子的掺入导致的组成变化也被认为是分层温度改变的一个原因。粒子形状各向异性导致方向依赖性耗尽效应,这改变了共混物的相行为。具有不同接枝密度的聚合物接枝纳米粒子在共混物的互溶性方面表现出巨大差异。接枝在纳米粒子上的聚合物链的拉伸在聚合物共混物中导致熵惩罚。迄今为止,尚未有关于不同形状粒子的比较研究来理解这些方面。因此,我们并列了关于纳米粒子动力学的各种计算研究、纳米粒子对均聚物的形状效应以及各种无纳米粒子聚合物共混物的情况,以勾勒出各种粒子对LCST共混物互溶性影响的全貌。