High-Precision Size Recognition and Separation in Synthetic 1D Nanochannels

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Ping Wang - , National University of Singapore (Author)
  • Xinyi Chen - , National University of Singapore, Nanjing Tech University (Author)
  • Qiuhong Jiang - , National University of Singapore (Author)
  • Matthew Addicoat - , Nottingham Trent University (Author)
  • Ning Huang - , National University of Singapore (Author)
  • Sasanka Dalapati - , National University of Singapore (Author)
  • Thomas Heine - , Chair of Theoretical Chemistry (Author)
  • Fengwei Huo - , Nanjing Tech University (Author)
  • Donglin Jiang - , National University of Singapore, Tianjin University (Author)

Abstract

Covalent organic frameworks (COFs) allow elaborate manufacture of ordered one-dimensional channels in the crystal. We defined a superlattice of COFs by engineering channels with a persistent triangular shape and discrete pore size. We observed a size-recognition regime that is different from the characteristic adsorption of COFs, whereby pore windows and walls were cooperative so that triangular apertures sorted molecules of one-atom difference and notch nanogrooves confined them into single-file molecular chains. The recognition and confinement were accurately described by sensitive spectroscopy and femtosecond dynamic simulations. The resulting COFs enabled instantaneous separation of mixtures at ambient temperature and pressure. This study offers an approach to merge precise recognition, selective transport, and instant separation in synthetic 1D channels.

Details

Original languageEnglish
Pages (from-to)15922-15927
Number of pages6
JournalAngewandte Chemie - International Edition
Volume58
Issue number44
Publication statusPublished - 28 Oct 2019
Peer-reviewedYes

External IDs

PubMed 31415116

Keywords

ASJC Scopus subject areas

Keywords

  • covalent organic frameworks, molecular recognition, nanochannels, nanostructures, separation