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Synthesis of Near-Infrared Emitting Gold Nanoclusters for Biological Applications
Published on: March 22, 2020
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A fluorescence sensing method for brilliant blue with gold nanoclusters based on the inner filter effect
Haijian Liu1, Miao Wang, Zhenxiang Li
1Shandong Peninsula Engineering Research Center of Comprehensive Brine Utilization, Weifang University of Science and Technology, Shouguang, 262700 Weifang, China. liuhaijian.1987@163.com 280525600@qq.com.
Analytical Methods : Advancing Methods and Applications
|September 2, 2020
Summary
A new method uses gold nanoclusters to detect Brilliant Blue (BB) in food. This fluorescence quenching assay is sensitive and effective for food quality control.
Area of Science:
- Analytical Chemistry
- Nanotechnology
- Food Science
Background:
- The inner filter effect (IFE) is a phenomenon where one substance absorbs light emitted by another.
- Gold nanoclusters (AuNCs) exhibit unique fluorescence properties.
- Accurate detection of food dyes like Brilliant Blue (BB) is crucial for quality control.
Purpose of the Study:
- To develop a simple, rapid, and sensitive method for detecting Brilliant Blue (BB).
- To utilize the inner filter effect (IFE) between BB and AuNCs for quantitative analysis.
- To validate the method's applicability in real food samples.
Main Methods:
- Utilizing the fluorescence quenching of AuNCs induced by BB due to IFE.
- Optimizing reaction conditions for BB detection.
- Quantifying BB using fluorescence spectroscopy.
- Analyzing BB content in various food matrices (hard candy, chocolate, dried blueberries).
Main Results:
- A linear detection range for BB was established from 0.05 to 7.5 μM.
- A low detection limit of 0.0167 μM was achieved.
- The assay demonstrated successful application in detecting BB in diverse food samples.
Conclusions:
- The developed fluorescence quenching method based on IFE is effective for BB detection.
- The assay shows high sensitivity and applicability to real-world food samples.
- This method holds potential for future food quality control applications.

