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Fluorescent Molecular Imprinted Sensor Based on Carbon Quantum Dot for Nitrofen Detection in Water Sample
Yuge Chen1,2, Yongheng Zhou1,2, Jinjie You2
1State Key Laboratory for Quality and Safety of Agro-Products, Ningbo University, Ningbo 315211, China.
A new sensor combining carbon quantum dots (CQDs) and molecular imprinting technology (MIPs) offers a stable and sensitive method for detecting nitrofen, a persistent environmental pollutant. This visual detection system provides rapid and accurate results for environmental monitoring.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Materials Science
Background:
- Nitrofen is a stable environmental pollutant that resists natural degradation and can bioaccumulate.
- Existing detection methods may lack specificity, sensitivity, or speed for environmental monitoring.
Purpose of the Study:
- To develop a novel sensor for the specific and sensitive detection of nitrofen residues.
- To create a material combining the advantages of carbon quantum dots (CQDs) and molecular imprinting technology (MIPs).
Main Methods:
- Fabrication of a sensor using carbon quantum dots (CQDs) and molecular imprinting technology (MIPs) (CQDs@MIPs).
- Characterization of CQDs@MIPs using transmission electron microscopy (TEM) and Zeta potential analysis.
- Evaluation of sensor performance including detection limit, range, linearity, and stability.
- Integration with RGB color model extraction and smartphone application for visual detection.
Main Results:
- The CQDs@MIP sensor demonstrated high specificity and stability for nitrofen detection.
- Achieved a low detection limit (2.5 × 10-3 mg·L-1) and a wide detection range (0.01-40 mg·L-1) with rapid detection time (5 min).
- The sensor showed excellent stability over 20 days and accurate recovery rates (84.1%-115.7%) in real water samples.
Conclusions:
- The developed CQDs@MIP sensor is a promising tool for the visual and sensitive detection of nitrofen in environmental samples.
- The sensor offers advantages in terms of specificity, stability, speed, and ease of use.
- This technology has high analytical potential for real-world environmental monitoring applications.
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