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Polyelectrolyte-Nanoplatelet Complexation: Is It Possible to Predict the State Diagram?

机译:聚电解质-纳米血小板络合:可以预测状态图吗?

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摘要

The addition of polyelectrolytes (PEs) to suspensions of charged colloids, such as nanoplatelets (NPs), is of great interest due to their specific feature of being either a stabilizing or a destabilizing agent. Here, the complexation between a PE and oppositely charged NPs is studied utilizing coarse-grained molecular dynamics simulations based on the continuum model. The complex formation is evaluated with respect to the stoichiometric charge-ratio within the system, as well as by the alternation of the chain properties. It is found that the formed complexes can possess either an extended or a compact shape. Moreover, it is observed that the chain can become overcharged by the oppositely charged NPs. With an increase in chain length, or a decrease in chain flexibility, the complex obtains a more extended shape, where the NPs are less tightly bound to the PE. The latter is also true when reducing the total charge of the chain by varying the linear charge density, whereas in this case, the chain contracts. With our coarse-grained model and molecular dynamics simulations, we are able to predict the composition and the shape of the formed complex and how it is affected by the characteristics of the chain. The take-home message is that the complexation between PEs and NPs results in a versatile and rich state diagram, which indeed is difficult to predict, and dependent on the properties of the chain and the model used. Thus, we propose that the present model can be a useful tool to achieve an understanding of the PE-NPs complexation, a system commonly used in industrial and in technological processes.
机译:由于带电胶体的特定特征是稳定剂或去稳定剂,因此将聚电解质(PEs)添加到带电胶体的悬浮液(例如纳米片(NPs))中引起了极大的兴趣。在此,利用基于连续模型的粗粒分子动力学模拟研究了PE和带相反电荷的NP之间的络合。相对于系统内的化学计量电荷比以及通过改变链的性质来评估复合物的形成。发现形成的复合物可以具有延伸的或紧密的形状。此外,可以观察到,该链可能被带相反电荷的NPs过度充电。随着链长的增加或链柔韧性的降低,复合物获得了更大的延伸形状,其中NP与PE的结合较少。当通过改变线性电荷密度来减少链的总电荷时,后者也适用,而在这种情况下,链会收缩。通过我们的粗粒模型和分子动力学模拟,我们能够预测所形成的复合物的组成和形状,以及它如何受到链的特征的影响。可以理解的是,PE和NP之间的复杂性导致了通用且丰富的状态图,这确实很难预测,并且取决于链的性质和所使用的模型。因此,我们建议本模型可以作为一种有用的工具,以了解对PE-NPs络合物的理解,PE-NPs络合物是工业和工艺过程中常用的系统。

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