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AI One-Click Processing-Assisted Nanozyme-Based Fluorescence Capillary Imprinted Sensor Array for Microvolume Rapid

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Summary
This summary is machine-generated.

A new nanozyme fluorescence sensor array rapidly detects five antidepressants (ADs) in water samples using AI image processing. This method offers high accuracy and low reagent consumption for environmental monitoring.

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Area of Science:

  • Environmental Chemistry
  • Analytical Chemistry
  • Materials Science

Background:

  • Antidepressants (ADs) are increasingly detected in wastewater and aquatic environments due to rising global demand.
  • Their presence poses risks to aquatic ecosystems and potentially human health.

Purpose of the Study:

  • To develop a rapid, visual, and accurate sensor array for discriminating and quantifying five specific ADs.
  • To utilize artificial intelligence (AI) for enhanced image processing and analysis.

Main Methods:

  • Fabrication of a nanozyme fluorescence capillary imprinted sensor array using molecularly imprinted polymers and nanozymes.
  • Construction of the sensor array by incorporating imprinted polymers into a capillary for distinct signal generation.
  • Integration of fluorescence detection with AI-powered one-click image processing for rapid analysis.

Main Results:

  • The sensor array achieved high-performance recognition of five ADs within 7 minutes with 100% overall accuracy.
  • Successfully detected and discriminated unknown AD samples in environmental matrices (lake water, hospital sewage) with 90.5% accuracy.
  • Demonstrated a lower detection limit for AD identification.

Conclusions:

  • The developed nanozyme fluorescence capillary imprinted sensor array provides a novel strategy for rapid AD detection in complex environmental samples.
  • The sensor offers high sensitivity, low reagent consumption, and efficient AI-assisted analysis.