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Interlayer Nanoconfinement Enhanced Peroxymonosulfate Activation for Nanozyme-Mediated Colorimetric Detection.

Rongsheng Xiao1, Qingyong Guo1, Xingyu Liu1

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|July 7, 2025
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Summary

A novel nanoconfinement sensor (NCS) optimizes interlayer spacing for enhanced nanozyme performance. This sensor enables highly sensitive detection of 2-aminoresorcinol (2-ARS) in water using smartphone technology.

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Environmental Science

Background:

  • Designing high-performance nanozymes is challenging due to the complex relationship between nanoconfinement and catalytic activity.
  • Understanding interfacial charge transfer mechanisms is crucial for optimizing nanozyme sensors.

Purpose of the Study:

  • To develop a nanoconfinement sensor (NCS) for improved colorimetric-catalytic performance.
  • To elucidate the electron transfer mechanism within nanoconfinement interlayers.
  • To achieve ultrasensitive detection of 2-aminoresorcinol (2-ARS).

Main Methods:

  • Anchoring iron-cobalt layered double hydroxides (FeCo LDH) onto active carbon substrates to create the NCS.
  • Investigating nanoconfinement interlayer effects on peroxymonosulfate (PMS) adsorption.
  • Utilizing theoretical calculations to identify optimal interaction configurations.
  • Employing smartphone-assisted readout for real-time monitoring.

Main Results:

  • An optimal nanoconfinement interlayer of 0.94 nm was identified, enhancing PMS adsorption energy.
  • The NCS-activated PMS system achieved a low limit of detection (LOD) of 0.17 μM for 2-ARS.
  • Parallel aromatic π-π stacking configurations showed optimal adsorption energy and stability.
  • A 2.6-fold improvement in activation efficiency was observed compared to hydrogen peroxide.

Conclusions:

  • The developed NCS effectively decodes interfacial charge transfer mechanisms for enhanced nanozyme performance.
  • The sensor provides a highly sensitive, user-friendly, and accessible platform for environmental monitoring of 2-ARS.
  • This approach offers significant potential for real-time, high-precision environmental detection.