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Related Experiment Video

Updated: Sep 27, 2025

Real-time Monitoring of Ligand-receptor Interactions with Fluorescence Resonance Energy Transfer
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Ascorbic Acid Sensor Based on CdS QDs@PDA Fluorescence Resonance Energy Transfer.

Pu Li1, Xiaoxiao Chen1, Gaojun Wu2

  • 1College of Chemistry and Life Science, Zhejiang Normal University, Jinhua 321004, China.

Molecules (Basel, Switzerland)
|April 12, 2022
PubMed
Summary
This summary is machine-generated.

A novel sensor detects ascorbic acid (AA) using fluorescence resonance energy transfer (FRET) between CdS quantum dots and polydopamine. This method offers sensitive and selective detection of AA in vitamin C tablets.

Keywords:
CdS quantum dotsPDAascorbic acidfluorescence resonance energy transfer

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Area of Science:

  • Nanomaterials
  • Biosensors
  • Analytical Chemistry

Background:

  • Ascorbic acid (AA) is a vital biomolecule with diverse biological roles.
  • Sensitive and selective detection methods for AA are crucial for various applications.
  • Fluorescence resonance energy transfer (FRET) offers a promising platform for developing optical sensors.

Purpose of the Study:

  • To develop a sensitive and selective sensor for detecting trace amounts of ascorbic acid (AA).
  • To utilize the FRET phenomenon between cadmium sulfide quantum dots (CdS QDs) and polydopamine (PDA) for AA detection.
  • To validate the sensor's performance and applicability in real-world samples like vitamin C tablets.

Main Methods:

  • Construction of a sensor based on FRET between CdS QDs and PDA.
  • Utilizing the fluorescence quenching and recovery mechanism of CdS QDs modulated by AA.
  • Quantitative analysis of AA concentration through fluorescence intensity changes and determination of detection limits.

Main Results:

  • The FRET-based sensor demonstrated sensitive detection of AA with a linear correlation in the range of 5.0-100.0 μmol/L.
  • A low detection limit of 1.16 μmol/L (S/N = 3) was achieved.
  • The sensor exhibited high selectivity, with minimal interference from common amino acids, glucose, and sulfhydryl compounds.

Conclusions:

  • The developed CdS QDs/PDA FRET system provides a sensitive, selective, and reliable platform for AA detection.
  • The sensor successfully quantified trace AA in vitamin C tablets with high recovery rates (98.01-100.7%).
  • This FRET-based approach holds significant potential for practical applications in food analysis and biomedical diagnostics.