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Nitrogen-doped graphene quantum dot-based sensing platform for metabolite detection.

Xiaotong Liu1, Xingguang Su2

  • 1Department of Analytical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, China.

Mikrochimica Acta
|September 1, 2020
PubMed
Summary

A new fluorescent sensor using nitrogen-doped graphene quantum dots (N-GQDs) detects cholesterol, glucose, lactate, and xanthine. This N-GQD platform offers rapid, sensitive, and selective metabolite detection in human blood samples.

Keywords:
CysteineFluorescent sensingMetabolitesNitrogen-doped graphene quantum dots

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Biomedical Engineering

Background:

  • Metabolite detection is crucial for diagnosing and monitoring various diseases.
  • Existing methods for metabolite analysis often require complex procedures and specialized equipment.
  • Development of rapid, sensitive, and selective sensing platforms is essential for point-of-care diagnostics.

Purpose of the Study:

  • To develop a novel fluorescent sensing platform for the simultaneous detection of multiple metabolites.
  • To utilize nitrogen-doped graphene quantum dots (N-GQDs) as a core component for sensitive fluorescence quenching and recovery.
  • To establish a method for quantifying cholesterol, glucose, lactate, and xanthine in biological samples.

Main Methods:

  • Synthesis and characterization of nitrogen-doped graphene quantum dots (N-GQDs).
  • Establishment of a fluorescence quenching mechanism involving Hg2+ interaction with N-GQDs and subsequent displacement by cysteine.
  • Quantification of metabolites based on the fluorescence recovery and secondary quenching by hydrogen peroxide generated from enzymatic reactions.

Main Results:

  • The N-GQD platform demonstrated rapid, sensitive, and selective detection of cholesterol, glucose, lactate, and xanthine.
  • Achieved low limits of detection (e.g., 0.025 μmol/L for glucose) and wide linear ranges for the target metabolites.
  • Successfully applied the sensing platform to quantify metabolites in human blood samples with satisfactory accuracy.

Conclusions:

  • The developed N-GQD-based fluorescent sensing platform offers a promising tool for rapid and sensitive multi-metabolite detection.
  • This platform has potential applications in clinical diagnostics and biochemical analysis.
  • The method provides a cost-effective and efficient alternative to conventional metabolite detection techniques.