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Programmed self-assembly of tetrapod nanoparticles with an amphiphilic surface pattern: the effect of arm length and hydrophobic ratio†
Molecular Systems Design & Engineering ( IF 3.2 ) Pub Date : 2019-10-04 , DOI: 10.1039/c9me00112c
Yusuke Araki 1, 2, 3 , Yusei Kobayashi 1, 2, 3 , Noriyoshi Arai 1, 2, 3
Affiliation  

We studied the self-assembly processes and morphologies of tetrapod nanoparticle solutions using dissipative particle dynamics (DPD) simulations. Composite-shaped nanoparticles, such as a tetrapod model with an amphiphilic surface pattern, were also synthesised experimentally. We programmed nanoparticle self-assembly using the DPD results at various values of the hydrophobic ratio (HR) and arm length (AL). Considering these two parameters, we observed the self-assembly processes and morphologies in a tetrapod nanoparticle solution. As a result, it was found that the HR and AL of tetrapod nanoparticles were effective parameters for controlling their self-assembly processes or structures under equilibrium. In this study, we programmed the AL or HR parameters, and we report their influences on self-assembly. Our simulations offer a guide to controlling the morphologies of self-assembled tetrapod nanoparticles, which constitute novel systems that may find applications in nanofluidic devices.

中文翻译:

具有两亲表面图案的四足动物纳米颗粒的程序化自组装:臂长和疏水比的影响

我们使用耗散粒子动力学(DPD)模拟研究了四脚架纳米颗粒溶液的自组装过程和形貌。还通过实验合成了复合形状的纳米粒子,例如具有两亲表面图案的四足动物模型。我们使用疏水性比(HR)和臂长(AL)的各种值的DPD结果对纳米粒子的自组装进行编程。考虑到这两个参数,我们观察到了四脚架纳米颗粒溶液中的自组装过程和形貌。结果,发现四足体纳米颗粒的HR和AL是在平衡下控制其自组装过程或结构的有效参数。在这项研究中,我们对AL或HR参数进行了编程,并报告了它们对自组装的影响。
更新日期:2019-12-02
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