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Upconversion fluorescent nanoparticles based-sensor array for discrimination of the same variety red grape wines.

Kewei Wang¹, Yanli Li¹, Haijie Li¹

¹Key Laboratory of Food Nutrition and Safety, Ministry of Education, Tianjin Key Laboratory of Food Nutrition and Safety, College of Chemical Engineering and Materials Science, Tianjin University of Science and Technology Tianjin 300457 P. R. China yhdql@tust.edu.cn s.wang@tust.edu.cn.

|May 6, 2022

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This study introduces a new fluorescent sensor array using upconversion nanomaterials (UCNPs) to differentiate red grape wines from various producers. The UCNP sensor array successfully distinguished wines based on their unique organic compositions.

Area of Science:

* Materials Science
* Analytical Chemistry
* Nanotechnology

Background:

* Accurate identification of wine origin is crucial for quality control and authenticity.
* Existing methods for wine analysis can be complex and time-consuming.
* Upconversion nanomaterials (UCNPs) offer unique optical properties for sensing applications.

Purpose of the Study:

* To develop a novel fluorescent sensor array for discriminating red grape wines from different manufacturers.
* To utilize UCNPs with varying surface modifications for enhanced sensing capabilities.
* To investigate the potential of UCNPs in wine authentication.

Main Methods:

* Fabrication of a six-element sensor array using modified UCNPs (positively and negatively charged).

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* Utilizing the fluorescence quenching mechanism of UCNPs by wine organic components.

* Employing Principal Component Analysis (PCA) for data analysis and discrimination.

Main Results:

* The UCNP-based sensor array demonstrated effective discrimination among nine different red grape wines.
* The mechanism relies on the differential quenching of UCNP fluorescence by wine constituents.
* PCA analysis clearly distinguished wines from various manufacturers.

Conclusions:

* A novel UCNP fluorescent sensor array provides a promising method for red grape wine identification.
* The sensor's performance is attributed to the interaction between UCNPs and wine's organic matrix.
* This research opens avenues for advanced UCNP applications in food and beverage analysis.