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A novel turn-on fluorescent strategy for sensing ascorbic acid using graphene quantum dots as fluorescent probe
Hua Liu1, Weidan Na1, Ziping Liu1
1Department of Analytical Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Biosensors & Bioelectronics
|February 22, 2017
Summary
A new fluorescence assay uses graphene quantum dots (GQDs) for rapid detection of ascorbic acid (AA). This method offers a sensitive and efficient way to measure AA levels in biological samples.
Area of Science:
- Analytical Chemistry
- Materials Science
- Biochemistry
Background:
- Ascorbic acid (AA) is a vital antioxidant with crucial biological roles.
- Accurate quantification of AA is essential for health monitoring and diagnostics.
- Existing detection methods may lack sensitivity, speed, or applicability to complex matrices.
Purpose of the Study:
- To develop a facile and rapid fluorescence turn-on assay for the detection of ascorbic acid (AA).
- To utilize orange-emitting graphene quantum dots (GQDs) as a fluorescent probe.
- To establish a sensitive method for AA determination in biological samples like human serum.
Main Methods:
- Development of a fluorescence assay based on graphene quantum dots (GQDs).
- Utilizing the quenching effect of o-benzoquinone, derived from catechol oxidation, on GQD fluorescence.
- Employing horse radish peroxidase (HRP) and hydrogen peroxide (H2O2) in the reaction system.
- Demonstrating fluorescence recovery in the presence of ascorbic acid (AA) due to its radical scavenging activity.
Main Results:
- The assay exhibited a linear correlation between fluorescence intensity and H2O2 concentration (3.33–500µM, LOD 1.2µM).
- Linear detection of AA was achieved in the range of 1.11–300µM with a low detection limit of 0.32µM.
- The method demonstrated successful application for AA determination in human serum samples with satisfactory accuracy.
Conclusions:
- A novel, rapid, and sensitive fluorescence turn-on assay for ascorbic acid (AA) detection was successfully developed.
- The assay leverages the unique properties of graphene quantum dots (GQDs) and their interaction with reactive oxygen species.
- The proposed method shows significant potential for practical applications in clinical diagnostics and biological sample analysis.

