Sorbonne Universités, UPMC Univ Paris 06, MONARIS, UMR CNRS 8233, 4 Place Jussieu, 75252 Paris Cedex 05, France.
Sorbonne Universités, UPMC Univ Paris 06, Institut Parisien de Chimie Moléculaire, UMR CNRS 8232, 4 Place Jussieu, 75252 Paris Cedex 05, France.
Langmuir. 2017 Nov 7;33(44):12759-12765. doi: 10.1021/acs.langmuir.7b01893. Epub 2017 Oct 25.
We propose a novel approach to trap 2 nm Pt nanocrystals using nanoporous two-dimensional supramolecular networks for cavity-confined host-guest recognition process. This will be achieved by taking advantage of two features of supramolecular self-assembly at surfaces: First, its capability to allow the formation of complex 2D architectures, more particularly, nanoporous networks, through noncovalent interactions between organic molecular building-blocks; second, the ability of the nanopores to selectively host and immobilize a large variety of guest species. In this paper, for the first time, we will use isotropic honeycomb networks and anisotropic linear porous supramolecular networks to host 2 nm Pt nanocrystals.
我们提出了一种新的方法，使用纳米多孔二维超分子网络来捕获 2nmPt 纳米晶体，用于腔受限主客体识别过程。这将通过利用表面上超分子自组装的两个特点来实现：首先，它能够通过有机分子构建块之间的非共价相互作用形成复杂的二维结构，特别是纳米多孔网络；其次，纳米孔能够选择性地容纳和固定各种客体物种的能力。在本文中，我们将首次使用各向同性的蜂窝网络和各向异性的线性多孔超分子网络来容纳 2nmPt 纳米晶体。
