Jump to main content
Jump to site search

Issue 20, 2014
Previous Article Next Article

Photonic metal–organic framework composite spheres: a new kind of optical material with self-reporting molecular recognition

Author affiliations

Abstract

Exploiting metal–organic framework (MOF) materials as novel building blocks to construct superstructures with extended and enhanced functions represents a big challenge. In biological systems, the ordering of many components is not achieved by interaction of the components with each other, but by interaction of each component with the host protein which provides a matrix to support the entire assembly. Inspired by biological systems, in this work, a general strategy for efficient spatial arrangement of MOF materials was developed by using spherical colloidal crystals as host matrices, affording a new class of highly tunable MOF composite spheres with a series of distinctive properties. It was found that the synergetic combination of the unique features of both MOF and photonic colloidal crystal imparted these hierarchically structured spheres intrinsic optical properties, specific molecular recognition with self-reporting signalling, derivatization capability, and anisotropy. More importantly, the unique photonic band-gap structure integrated in these composite spheres provides a more convenient means to manipulate the photophysical and photochemical behaviour of the trapped guest molecules in MOF nanocavities.

Graphical abstract: Photonic metal–organic framework composite spheres: a new kind of optical material with self-reporting molecular recognition

Back to tab navigation

Supplementary files

Publication details

The article was received on 05 Jun 2014, accepted on 06 Aug 2014 and first published on 01 Sep 2014


Article type: Paper
DOI: 10.1039/C4NR03095H
Author version
available:
Download author version (PDF)
Nanoscale, 2014,6, 11995-12001

  •   Request permissions

    Photonic metal–organic framework composite spheres: a new kind of optical material with self-reporting molecular recognition

    J. Cui, N. Gao, C. Wang, W. Zhu, J. Li, H. Wang, P. Seidel, B. J. Ravoo and G. Li, Nanoscale, 2014, 6, 11995
    DOI: 10.1039/C4NR03095H

Search articles by author

Spotlight

Advertisements