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

Area of Science:

• Materials Science
• Nanotechnology
• Chemical Engineering

Background:

• Covalent organic frameworks (COFs) offer tunable structures for advanced material design.
• Ordered one-dimensional (1D) channels within crystals are crucial for selective molecular transport.
• Existing COF applications often lack precise control over pore geometry and molecular confinement.

Purpose of the Study:

• To engineer COFs with precisely shaped 1D channels for advanced molecular separation.
• To investigate a novel size-recognition mechanism based on pore geometry and confinement.
• To demonstrate the capability of these engineered COFs for instantaneous mixture separation.

Main Methods:

• Fabrication of a superlattice of COFs with engineered triangular channels.
• Utilizing sensitive spectroscopy to analyze molecular recognition and confinement.
• Employing femtosecond dynamic simulations to model transport phenomena.
• Testing separation efficiency of gas mixtures at ambient conditions.

Main Results:

• Successfully created COFs with persistent triangular channels and discrete pore sizes.
• Observed a unique size-recognition regime distinguishing molecules with one-atom differences.
• Demonstrated confinement of molecules into single-file chains via nanogrooves.
• Achieved instantaneous separation of mixtures at ambient temperature and pressure.

Conclusions:

• Engineered COFs with triangular channels provide precise molecular recognition and confinement.
• The developed materials enable highly selective and efficient separation processes.
• This approach merges precise recognition, selective transport, and instant separation in synthetic 1D channels.