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Published on: June 28, 2024
Fluorinated Silicon Quantum Dots for Broad-Spectrum Fluorescence Detection of Pyrethroids via Structure-performance
Kedi Zhao1, Yuheng Zhao1, Yuemao Dou2
1Jiangsu Key Laboratory of Environmental Science and Engineering, School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou215009, P. R. China.
Analytical Chemistry
|July 13, 2026
Summary
This study introduces a new sensor using fluorinated silicon quantum dots (FSiQDs) to detect pyrethroid pesticide residues. The rapid, field-deployable tool offers a practical solution for environmental and food safety monitoring.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Materials Science
Background:
- Pyrethroid pesticides are widely used, raising concerns about bioaccumulation.
- Existing monitoring methods lack speed, broad-spectrum capability, and field deployability.
- A need exists for rapid, sensitive detection of pesticide residues.
Purpose of the Study:
- To develop a novel sensing strategy for the indirect detection of pyrethroids.
- To utilize fluorinated silicon quantum dots (FSiQDs) for pesticide residue analysis.
- To create a field-deployable tool for rapid, broad-spectrum pesticide screening.
Main Methods:
- Developed FSiQDs modified with 3,5-difluorophenylhydrazine for 3-phenoxybenzaldehyde (3-PBD) detection.
- Investigated the Schiff base-mediated static quenching mechanism.
- Engineered an integrated portable fluorescence detector (PFD) for on-site analysis.
Main Results:
- Achieved a limit of detection (LOD) of 0.28 μM for 3-PBD within a 10-minute response time.
- Demonstrated a superior quenching rate of 71.32% toward 3-PBD.
- Validated sensor performance in real water samples with high recovery rates (96.96%–102.67%).
Conclusions:
- This work presents the first application of fluorine-doped SiQDs for fluorescence sensing.
- The developed sensor provides a practical and rapid solution for broad-spectrum pesticide residue screening.
- The technology is suitable for complex environmental and food matrices, enhancing safety monitoring.
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