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Updated: Aug 13, 2026

Automated System for Single Molecule Fluorescence Measurements of Surface-immobilized Biomolecules
Published on: November 2, 2009
Molecular recognition-driven fluorescence quenching based sensing of ascorbic acid using a β-cyclodextrin/graphene
Mohammad Imran1, Muhammad Ashfaq Ahmad2, Akhtar Hayat3
1Interdisciplinary Research Centre in Biomedical Materials, COMSATS University Islamabad, Lahore Campus, 54000, Pakistan; Department of Physics, COMSATS University Islamabad, Lahore Campus, 54000, Pakistan.
A new fluorescent sensor using beta-cyclodextrin/graphene oxide (β-CD/GO) detects ascorbic acid (AA) in food. This cost-effective method offers sensitive and reliable food safety analysis.
Area of Science:
- Nanomaterials Science
- Analytical Chemistry
- Food Science
Background:
- Ascorbic acid (AA) is a vital nutrient and antioxidant in food.
- Accurate detection of AA is crucial for food quality and safety.
- Existing detection methods may lack sensitivity, cost-effectiveness, or portability.
Purpose of the Study:
- To develop a sensitive and cost-effective fluorescent sensing system for ascorbic acid (AA) detection.
- To utilize a β-CD/GO nanohybrid material for enhanced sensing capabilities.
- To validate the sensor's performance in real food samples.
Main Methods:
- Synthesis of β-CD/GO nanohybrid via a hydrothermal approach.
- Characterization using XRD, FTIR, Raman, zeta potential, and particle size analysis.
- Fluorescence quenching mechanism based on host-guest interaction and photoinduced electron transfer (PET).
Main Results:
- The β-CD/GO nanohybrid demonstrated uniform surface modification.
- A linear response for AA detection was observed in the range of 2.5-40 μM.
- A low detection limit of 1.21 μM was achieved.
- Successful application in real food samples (lemon, mango, orange juices) with high recovery rates (92.3-106.4%).
Conclusions:
- The developed β-CD/GO based fluorescent sensor is effective for sensitive AA detection.
- The strategy is rapid, cost-effective, and portable, suitable for practical food safety analysis.
- This approach offers a promising tool for monitoring AA levels in various food matrices.
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