A nonenzymatic reduced graphene oxide-based nanosensor for parathion
Sarani Sen1,2, Anurag Roy3, Ambarish Sanyal1
1Functional Materials and Devices Division, CSIR-Central Glass & Ceramic Research Institute, 196 Raja S.C. Mullick Road, Jadavpur, Kolkata 700032, India.
A new electrochemically reduced graphene oxide (ERGO) sensor rapidly detects organophosphate pesticide residues. This robust nanosensor offers high sensitivity and stability for safe food and environmental monitoring.
Area of Science:
- Analytical Chemistry
- Materials Science
- Environmental Science
Background:
- Organophosphate pesticides (e.g., parathion) pose risks to human health via residues in food and the environment.
- Current detection methods require improvement in cost-effectiveness and speed.
- Rapid, sensitive, and reliable detection strategies are crucial for ensuring food safety and environmental protection.
Purpose of the Study:
- To develop a robust, nonenzymatic electrochemical sensor for detecting organophosphate pesticide residues.
- To utilize electrochemically reduced graphene oxide (ERGO) for enhanced sensor performance.
- To enable rapid, cost-effective, and sensitive quantification of parathion (PT) in various samples.
Main Methods:
- Fabrication of an electrochemical sensor electrode modified with ERGO.
- Electrochemical characterization and optimization of the ERGO sensor.
- Quantification of PT using square-wave voltammetry.
- Validation of sensor performance using natural samples and absorption spectroscopy.
Main Results:
- The ERGO sensor exhibited a distinct electrocatalytic reduction peak for PT at -0.58 V (vs Ag/AgCl).
- Achieved high sensitivity (50.5 μA·μM-1·cm-2), selectivity, and stability (≈180 days).
- Demonstrated a low detection limit of 10.9 pM within a wide dynamic range (3 × 10-11-11 × 10-6 M).
Conclusions:
- The developed ERGO-based electrochemical nanosensor provides a highly sensitive and stable platform for PT detection.
- The sensor is suitable for point-of-care applications and interference-free analysis in real-world samples.
- This work encourages the development of similar nanosensor-based tools for monitoring other environmental contaminants.
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