GO-SELEX-enhanced dual-recognition sensor for highly specific detection of azamethiphos
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View abstract on PubMed
Summary
This summary is machine-generated.A new aptasensor detects azamethiphos (AZA), an organophosphorus pesticide, with high sensitivity and specificity. This dual-recognition electrochemical sensor offers a novel strategy for rapid food safety and environmental monitoring.
Area Of Science
- Analytical Chemistry
- Environmental Science
- Materials Science
Background
- Organophosphorus pesticides (OPs), like azamethiphos (AZA), are widely used but pose risks to ecosystems and human health via food chains.
- Sensitive and specific detection methods for AZA are crucial for food safety and environmental protection.
Purpose Of The Study
- To develop a highly sensitive and specific electrochemical sensor for the detection of azamethiphos (AZA).
- To create a novel dual-recognition strategy combining aptamers and molecularly imprinted polymers for enhanced detection.
Main Methods
- Screening of an aptamer (Apt) specific for AZA using graphene oxide-SELEX technology.
- Construction of a dual-recognition electrochemical sensor by integrating the aptamer with molecularly imprinted polymers.
- Modification of the electrode surface with AuNPs@SnS2@ZnCo-MOF nanocomposites to enhance electrochemical performance.
Main Results
- The aptamer exhibited specific recognition of AZA with a dissociation constant (Kd) of 26.27±1.27 nM.
- The dual-recognition sensor demonstrated synergistic enhancement in specificity and accuracy, reducing interference.
- The developed sensor showed a wide detection range (1.00×10⁻²-1.00×10⁴ ng/mL) and a low limit of detection (3.33×10⁻³ ng/mL) with excellent stability.
Conclusions
- A highly efficient, sensitive, and selective electrochemical sensor for AZA detection was successfully developed.
- The novel dual-recognition strategy and nanocomposite modification offer a promising approach for rapid detection of OPs.
- This sensor has broad application prospects in food safety and environmental monitoring.
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