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A novel quantum dot-based ratiometric fluorescence sensor array: For reducing substances detection and Baijiu quality
Xuhui Xia1, Peng Zhao1, Jia Zheng2
1Key Laboratory for Biological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing, 400044, PR China.
Analytica Chimica Acta
|March 2, 2025
Summary
A new ratiometric fluorescence sensor array rapidly discriminates baijiu quality by detecting reducing substances. This method achieves high accuracy for identifying organic molecules and real baijiu samples, aiding market growth and consumer protection.
Area of Science:
- Analytical Chemistry
- Sensor Technology
- Biochemical Assays
Background:
- Baijiu quality discrimination is vital for market growth and consumer rights.
- Existing methods for rapid, small-scale baijiu quality sensing face challenges.
- Background signal interference complicates accurate baijiu analysis.
Purpose of the Study:
- To develop a rapid, small-scale sensor assay for discriminating baijiu quality.
- To overcome background signal interference in baijiu analysis.
- To enable efficient quality control and information reading for baijiu.
Main Methods:
- Development of a ratiometric fluorescence sensor array using oxidized 2,3-diaminophenazine (oxOPD) and quantum dots.
- Utilizing the reaction of reducing substances in baijiu with Ag+ to modulate fluorescence.
- Application of machine learning classification for data analysis and discrimination.
Main Results:
- Accurate discrimination of 12 organic small molecules found in baijiu with 97.2% accuracy.
- Achieved a limit of detection of 0.1 μM for ascorbic acid, indicating quantitative potential.
- Successfully discriminated 10 distinct qualities of real baijiu samples with 100% accuracy.
Conclusions:
- The developed sensor array effectively overcomes background signal interference.
- Provides a robust and simple method for discriminating baijiu quality.
- Offers potential applications in food quality control and other analytical areas.
