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Dithiothreitol-functionalized perovskite-based visual sensing array capable of distinguishing food oils
Li Li1, Siyuan Ding2, Zhengbo Chen2
1School of Chemistry and Materials Engineering, Xinxiang University, Xinxiang 453003, China.
Food Chemistry
|August 28, 2024
Summary
A novel dithiothreitol (DTT)-functionalized sensor array using CsPbBr3 effectively differentiates food oils. This cost-effective method achieves 100% accuracy by analyzing unique color fingerprints generated from oil oxidation.
Area of Science:
- Analytical Chemistry
- Materials Science
- Food Science
Background:
- Growing importance of cost-effective and eco-friendly analytical methods in the food industry.
- Need for reliable techniques to authenticate and differentiate food products like edible oils.
- Limitations of existing methods in terms of cost, complexity, or environmental impact.
Purpose of the Study:
- To develop a dithiothreitol (DTT)-functionalized CsPbBr3-based colorimetric sensor array.
- To qualitatively differentiate multiple food oils using a fingerprint recognition approach.
- To establish an economical and environmentally friendly analytical tool for the food sector.
Main Methods:
- Fabrication of a sensor array incorporating dithiothreitol (DTT)-functionalized CsPbBr3 as a signal probe.
- Utilizing octadecylammonium iodide (ODAI) and ZnI2 as recognition elements sensitive to oil oxidation.
- Analyzing color changes under UV light resulting from halogen ion exchange reactions.
- Employing linear discriminant analysis (LDA) for pattern recognition and classification.
Main Results:
- Demonstrated unique colorimetric response patterns for five different food oils.
- Achieved 100% classification accuracy in differentiating the tested food oils.
- Established a distinct "fingerprint" for each food oil based on its interaction with the sensor array.
Conclusions:
- The developed CsPbBr3-based colorimetric sensor array offers a powerful tool for food oil authentication.
- The DTT-functionalization and iodide recognition elements provide high specificity and sensitivity.
- This method presents a promising, accurate, and cost-effective solution for food quality control.
