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An asynchronous response fluorescence sensor combines machine learning theory to qualitatively and quantitatively

Chunhua Li1, Zhehang Tian1, Luqian Bao1

  • 1College of Quality and Technical Supervision, Hebei University, Baoding 071002, China; National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding 071002, China.

Food Chemistry
|March 2, 2024
PubMed
Summary

A new fluorescence sensor detects tetracyclines in food. This simple, sensitive method uses a Ru@Zn-BTEC sensor for accurate detection, addressing risks from animal-derived foods.

Keywords:
Aggregation-induced emissionAntibioticsFluorescence sensingFood safetyMetal-organic framework

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Food Safety

Background:

  • Excessive tetracycline use in animals poses health risks through food.
  • Current laboratory methods for tetracycline detection are complex and costly.
  • Simple, sensitive detection methods are needed for food safety.

Purpose of the Study:

  • To develop a simple and sensitive fluorescence sensor for detecting tetracyclines in food.
  • To utilize a Zn-based metal-organic framework and Ru(bpy)32+ for sensor construction.
  • To enable both qualitative and quantitative analysis of tetracyclines.

Main Methods:

  • Fabrication of an asynchronous response fluorescence sensor (Ru@Zn-BTEC).
  • Utilizing fluorescence emission changes (red to green) upon tetracycline detection.
  • Applying the sensor to analyze tetracyclines in food samples.

Main Results:

  • The Ru@Zn-BTEC sensor exhibited distinct fluorescence responses to tetracyclines.
  • Achieved a high classifier accuracy of 94% for distinguishing tetracycline categories.
  • Demonstrated a low detection limit of 0.012 μM and good recovery rates (87.81%–113.84%).

Conclusions:

  • The developed Ru@Zn-BTEC sensor offers a promising tool for food analysis.
  • This work presents a novel approach for constructing asynchronous fluorescence sensors.
  • The sensor provides a sensitive and accurate method for tetracycline detection in food products.