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Reversible and ultrafast fluorescent nanoswitch for on-site visual determination of malachite green and in vivo

Ruxia Zhang1,2, Qi Wang2, Zhefeng Fan3

  • 1School of Chemistry and Materials Science, Shanxi Normal University, Taiyuan, 030031, People's Republic of China.

Mikrochimica Acta
|April 21, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method using orange fluorescent carbon dots (O-CDs) for rapid, reversible detection of toxic malachite green (MG) in food. The system allows for on-site, visual quantification, enhancing food safety assessments.

Keywords:
Carbon dotsFluorescence nanoswitchMalachite greenVisual detection

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Food Science

Background:

  • Malachite green (MG) is a highly toxic veterinary drug residue frequently found in food products.
  • Accurate, rapid, and on-site detection methods for MG are crucial for ensuring food safety.
  • Existing detection methods often lack selectivity, speed, or on-site applicability.

Purpose of the Study:

  • To develop a novel, rapid, and reversible sensing strategy for the quantitative detection of malachite green (MG) in aquatic products.
  • To create an on-site, visual sensing platform for MG detection using orange fluorescent carbon dots (O-CDs).
  • To assess the potential application of this method in food safety evaluations.

Main Methods:

  • Utilized orange fluorescent carbon dots (O-CDs) as nanoswitches for MG detection.
  • Exploited the internal filter effect (IFE) between MG absorption and O-CDs emission for fluorescence quenching.
  • Developed a reversible detection mechanism based on the reduction of MG to leucomalachite green (LMG) using NaBH4.
  • Constructed a smartphone-assisted O-CDs agar slice sensing platform for visual and quantitative analysis.
  • Applied the method for fluorescence imaging of MG in zebrafish.

Main Results:

  • Achieved rapid (30 s) and reversible detection of MG with up to 9 cycles.
  • Demonstrated a wide linear detection range of 1-120 μM for MG with a low detection limit of 0.37 μM.
  • Successfully developed a smartphone-assisted O-CDs agar slice platform for visual and quantitative MG determination.
  • Validated the method through fluorescence imaging of exogenous MG in zebrafish.

Conclusions:

  • The developed O-CDs based sensing strategy offers a sensitive, selective, and reversible method for MG detection.
  • The smartphone-assisted agar slice platform provides a practical solution for on-site, qualitative, and semi-quantitative food safety assessment.
  • This approach holds significant potential for improving the safety and quality assessment of aquatic products and other food items.