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通过在 NP 表面图案化接枝嵌段共聚物来实现具有多功能的纳米粒子的图案化。

Versatile fabrication of patchy nanoparticles via patterning of grafted diblock copolymers on NP surface.

机构信息

State Key Laboratory of Supramolecular Structure and Materials, Institute of Theoretical Chemistry, Jilin University, Changchun, 130021, China.

出版信息

Phys Chem Chem Phys. 2019 Jan 21;21(3):1417-1427. doi: 10.1039/c8cp06699j. Epub 2019 Jan 2.

Abstract

Patchy nanoparticles (PNPs) have received increased attention since they serve as a new type of self-assembly unit. However, the precise synthesis of PNPs with target patch numbers and their spatial distribution on a nanoparticle (NP) surface are still a formidable challenge. A recent experimental study [R. M. Choueiri et al., Nature, 2016, 538, 79] has demonstrated that following a change in the solvent quality, the collapse and thermodynamically driven segregation of the grafted homopolymer (HP) chains on the NP surface can lead to the formation of surface-pinned micelles, and therefore, PNPs. In this study, by using coarse-grained molecular dynamics simulations, we demonstrate that the collapse of the grafted diblock copolymer (DBC) chains on the NP surface can also lead to the formation of PNPs, but in a more controllable manner with target patch numbers and symmetric surface distribution. In addition, our studies have shown that PNPs formed from the collapse of surface-grafted DBC chains are superior to those formed from the collapse of HP chains. We have shown that the use of DBC can generate more spherical patches than that using HP. More importantly, grafting DBC chains on the NP surface offers a larger adjustable parameter space due to their distinct properties, tunable volume fractions of the two blocks, and the different interaction types with the NP surface. In addition, solvent-phobicity and the sequence of collapsing of each block can also be utilized to control the formation pathway of the PNP structures.

摘要

有向无环图 (DAG) 是一种用于表示复杂关系的图形结构,由节点和边组成。节点表示数据元素,边表示节点之间的关系。DAG 中的边没有方向,并且可以有多个边连接到同一个节点。DAG 常用于表示具有先后顺序的任务或事件,例如计算机程序的控制流图、生物信息学中的基因调控网络等。

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