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Highly Sensitive Ratiometric Fluorescent Sensor for Trinitrotoluene Based on the Inner Filter Effect between Gold
Hongzhi Lu1, Shuai Quan1, Shoufang Xu1
1School of Chemistry and Chemical Engineering and ‡School of Materials Science and Engineering, Linyi University , Linyi, Shandong 276005, People's Republic of China.
Journal of Agricultural and Food Chemistry
|October 26, 2017
Summary
A new ratiometric fluorescent assay detects trinitrotoluene (TNT) using gold nanoparticles and fluorescent nanoparticles. This sensitive method accurately quantifies TNT in environmental samples.
Area of Science:
- Analytical Chemistry
- Nanotechnology
- Environmental Science
Background:
- Trinitrotoluene (TNT) is a hazardous explosive requiring sensitive detection methods.
- Existing detection methods may lack sensitivity or simplicity.
- Nanoparticle-based assays offer potential for enhanced sensing capabilities.
Purpose of the Study:
- To develop a simple and highly sensitive ratiometric fluorescent assay for TNT detection.
- To utilize the inner filter effect (IFE) between gold nanoparticles (AuNPs) and ratiometric fluorescent nanoparticles (RFNs).
- To create a dual-mode detection system for improved analytical performance.
Main Methods:
- Fabrication of RFNs by incorporating green-emissive carbon dots (CDs) and red-emissive quantum dots (QDs) into silica spheres.
- Exploiting the IFE mechanism where AuNPs quench CDs in dispersion and QDs upon aggregation.
- Utilizing TNT-induced aggregation of AuNPs to modulate fluorescence signals for ratiometric detection.
Main Results:
- The assay demonstrated sensitive TNT detection over a range of 0.1 to 270 nM.
- A low detection limit of 0.029 nM was achieved for TNT.
- Successful application in real water and soil samples with high recoveries (95-103%) and low precision (<4.5%).
Conclusions:
- The developed ratiometric fluorescent sensor provides a sensitive and reliable method for TNT detection.
- The IFE-based approach enhances sensitivity compared to traditional colorimetric or UV-Vis methods.
- This work promotes the development of advanced dual-mode detection systems for environmental monitoring.

