Mercury Detection with 2D Organic Frameworks and Solid-State Nanofluidic Channels

Solid-state nanofluidic channels are promising tools for selective sensing of analytes. However, delayed interaction of recognition moieties with analytes hinders their application in rapid detection devices. In an article recently published in the journal Analytical Chemistry, the researchers fabricated two-dimensional covalent organic frameworks (2D COFs) to integrate them into solid-state nanofluidic channels and achieve selective, sensitive, and rapid recognition units that can detect the contaminants in sample analytes.