LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Triplexed tracking labile sulfur-containing species on a single-molecule "Nezha" sensor.

Photo from wikipedia

Sulfur-containing species (SCS), especially sulfur dioxide-relevant species play an essential role in ecological balance. Owing to intrinsically labile and mobile characteristics of SCS, it is still considered to be an… Click to show full abstract

Sulfur-containing species (SCS), especially sulfur dioxide-relevant species play an essential role in ecological balance. Owing to intrinsically labile and mobile characteristics of SCS, it is still considered to be an insurmountable challenge for multiplexed tracking dynamics SCS with distinct molecular structure, valence state and condensed state. To address this key problem, we proposed herein an alternative way of versatile single-molecule sensors (VSMs) by intramo-lecularly integrating high affinity target-guided multiple recognition units into a single sensory molecule, clarified as molecular Nezha available in triplexed responses to gaseous sulfur dioxide, liquid sulfur trioxide and aqueous bisulfite through ubiquitous charge-transfer and nucleophilic addition. High-performance molecular Nezha remarkably facilitated for promising applications in a quantitative visualization of SCS on Lab-on-paper, tracking dynamics transformation of SCS as well comprehensive evaluating multiphase adsorption science of SCS on an advanced Zeolitic imidazolate framework-8 (ZIF-8).

Keywords: molecule; single molecule; nezha; containing species; sulfur; sulfur containing

Journal Title: Analytical chemistry
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.