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Quick and label-free detection for Coumaphos by using surface plasmon resonance biochip
Ying Li1, Xiao Ma2, Minglu Zhao2
1Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, Jinan University, Guangzhou, Guangdong, China; Pre-university Department, Jinan University, Guangzhou, Guangdong, China.
Plos One
|August 15, 2014
Summary
A novel surface plasmon resonance (SPR) and immune reaction method offers a sensitive and specific way to detect organophosphorus pesticide Coumaphos residues. This label-free technique is simple, cost-effective, and suitable for rapid on-site analysis.
Area of Science:
- Analytical Chemistry
- Biotechnology
Background:
- Coumaphos, an organophosphorus pesticide, poses risks to human health with strict maximum residue limits (MRLs) for agricultural products.
- Existing detection methods for Coumaphos are often complex, expensive, time-consuming, and labor-intensive.
Purpose of the Study:
- To develop a novel, sensitive, and efficient method for detecting Coumaphos pesticide residues.
- To utilize surface plasmon resonance (SPR) combined with immune reactions for pesticide detection.
Main Methods:
- A label-free SPR-based immunoassay utilizing a single unpurified antibody was employed.
- The method operates on the principle of immune reaction suppression.
- Kinetic reactions were analyzed to establish a standard curve for Coumaphos detection.
Main Results:
- The developed method demonstrated a sensitivity of less than 25 µg/L, meeting China's MRL standards for Coumaphos.
- The assay is label-free, requires only unpurified single antibodies, and can analyze at least 80 samples continuously.
- High sensitivity and specificity were achieved with simple, environmentally friendly, and easy-to-control equipment.
Conclusions:
- The SPR-based immunoassay presents a promising alternative for rapid, on-site detection of Coumaphos pesticide residues.
- The method's simplicity, sensitivity, and cost-effectiveness make it suitable for large-scale sample analysis.
