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Area of Science:

  • Nanomaterials Science
  • Environmental Chemistry
  • Analytical Chemistry

Background:

  • Redox nanozymes show promise for environmental pollutant detection.
  • Aromatic amines are significant environmental pollutants, yet their detection using nanozymes remains underdeveloped.
  • Existing methods for aromatic amine detection often lack sensitivity or specificity.

Purpose of the Study:

  • To synthesize novel copper-based nanozymes capable of detecting aromatic amines.
  • To develop a visual sensor array for the sensitive and selective identification of various aromatic amines and their mixtures.
  • To validate the sensor's performance in real-world environmental water samples.

Main Methods:

  • Synthesis of copper-tryptophan (Cu-Trp) nanozymes as ascorbic acid oxidase mimics.
  • Catalysis of ascorbic acid (AA) oxidation to dehydroascorbic acid (DHAA).
  • Reaction of DHAA with aromatic amines and their derivatives to produce fluorescent Schiff bases.
  • Construction of a visual sensor array utilizing two sensing channels (Cu-Trp + AA and Cu-Arg + AA) and RGB color analysis.
  • Discrimination of single analytes, mixtures, and unknown samples, followed by validation in environmental water.

Main Results:

  • Cu-Trp nanozymes effectively catalyzed ascorbic acid oxidation.
  • A visual sensor array successfully distinguished six aromatic amines (OPD, NDA, 4-NO2-OPD, 4-F-OPD, 4-Cl-OPD, 4-Br-OPD) down to 10 μM.
  • The sensor array demonstrated high accuracy in identifying complex mixtures, unknown samples, and quantifying single aromatic amines.
  • Effective validation of the sensor's discriminating ability in environmental water samples.

Conclusions:

  • Novel copper-based nanozymes, utilizing amino acids as linkers, can be designed as effective enzyme mimics for pollutant detection.
  • The developed visual sensor array provides a sensitive, selective, and visual method for detecting multiple aromatic amines.
  • This approach offers a promising tool for large-scale environmental monitoring of aromatic amine contamination.