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An ascorbic acid sensor based on protein-modified Au nanoclusters.

Xianxiang Wang1, Peng Wu, Xiandeng Hou

  • 1College of Chemistry, Analytical & Testing Center, Sichuan University, Chengdu, Sichuan 610064, China.

The Analyst
|October 31, 2012
PubMed
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A new fluorescence sensor detects ascorbic acid (AA) using gold nanoclusters. This sensitive method accurately measures AA in biological samples, offering a reliable detection limit.

Area of Science:

  • Nanotechnology
  • Biochemistry
  • Analytical Chemistry

Background:

  • Ascorbic acid (AA) is a vital biomolecule with diverse biological roles.
  • Sensitive and reliable detection methods for AA are crucial in biological and medical research.
  • Existing detection methods may lack sensitivity, simplicity, or applicability in aqueous media.

Purpose of the Study:

  • To develop a simple and sensitive fluorescence sensor for ascorbic acid (AA) detection.
  • To utilize protein-modified gold nanoclusters (Au NCs) for a turn-off fluorescence sensing mechanism.
  • To validate the sensor's performance for monitoring AA in biological samples.

Main Methods:

  • Synthesis of protein-modified gold nanoclusters (Au NCs).
  • Investigation of the fluorescence quenching mechanism triggered by ascorbic acid.

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  • Optimization of experimental conditions for sensor performance.
  • Validation of the sensor using biological samples.

    • Main Results:

    • A simple fluorescence sensor based on protein-modified Au NCs was successfully developed.
    • The sensing mechanism relies on the oxidation state change of Au NCs induced by AA.
    • A linear relationship was observed between fluorescence quenching and AA concentration (1.5–10 μM).
    • A low detection limit of 0.2 μM for AA was achieved.

    Conclusions:

    • The developed fluorescence sensor offers a simple, efficient, and reliable method for AA detection.
    • The sensor demonstrates high sensitivity and a low detection limit, suitable for biological sample analysis.
    • Protein-modified Au NCs provide a promising platform for developing advanced biosensors.