Issue 34, 2022

Locally superengineered cascade recognition–quantification zones in nanochannels for sensitive enantiomer identification

Abstract

As an intriguing and intrinsic feature of life, chirality is highly associated with many significant biological processes. Simultaneous recognition and quantification of enantiomers remains a major challenge. Here, a sensitive enantiomer identification device is developed on TiO2 nanochannels via the design of cascade recognition–quantification zones along the nanochannels. In this system, β-cyclodextrin (β-CD) is self-assembled on one side of the nanochannels for the selective recognition of enantiomers; CuMOFs are designed as the target-responsive partners on the other side of the nanochannels for the quantification of enantiomers that pass through the nanochannels. As a proof-of-principle of the cascade design, arginine (Arg) enantiomers are tested as the identification targets. The L-Arg molecules selectively bind in the recognition zone; D-Arg molecules pass through the recognition zone and then interact with the quantification zone via a specialized reduction reaction. As verified by nanofluidic simulations, because of the confinement effect of nanoscale channels combined with the condensation effect of porous structure, the in situ reaction in the quantification zone contributes to an unprecedented variation in transmembrane K+ flux, leading to an improved identification signal. This novel cascade-zone nanochannel membrane provides a smart strategy to design multifunctional nanofluidic devices.

Graphical abstract: Locally superengineered cascade recognition–quantification zones in nanochannels for sensitive enantiomer identification

Supplementary files

Article information

Article type
Edge Article
Submitted
07 Jun 2022
Accepted
08 Aug 2022
First published
08 Aug 2022
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY license

Chem. Sci., 2022,13, 9993-10002

Locally superengineered cascade recognition–quantification zones in nanochannels for sensitive enantiomer identification

J. Guo, H. Xu, J. Zhao, Z. Gao, Z. Wu and Y. Song, Chem. Sci., 2022, 13, 9993 DOI: 10.1039/D2SC03198A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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