ArticlePloS one2021
Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Molecular Imprinting Polymer-Based Sensing of Neonicotinoids.Sensors (Basel, Switzerland) · 2025Review
- Recent progress in functional materials for electrochemical detection of pesticides: modification strategies, performance, and future challenges.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Review
- Innovative Analytical Approaches for Food Pesticide Residue Detection: Towards One Health-Oriented Risk Monitoring.Journal of xenobiotics · 2025Review
- Smartphone-Integrated Electrochemical Devices for Contaminant Monitoring in Agriculture and Food: A Review.Biosensors · 2025Review
- Emerging biotechnology applications in natural product and synthetic pharmaceutical analyses.Acta pharmaceutica Sinica. B · 2022Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to achieve rapid detection of thiamethoxam residues in mango, cowpea and water, this study modified the screen printed carbon electrode (SPCE) to make a specific molecular imprinting sensor (Thiamethoxam-MIP/Au/rGO/SPCE) for thiamethoxam. An integrated smartphone platform was also built for thiamethoxam residue analysis. The performance of the complete system was analyzed by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The system was then applied for the rapid determination of thiamethoxam residues in water, mango and cowpea samples. The results showed that the molecular sensor showed good linearity in the range 0.5-3.0 μmol/L of thiamethoxam. The detection limit of thiamethoxam was 0.5 μmol/L. Moreover, the sensor had good reproducibility and anti-interference performance. The average recovery rates of the pesticide residues in water, mango and cowpea samples were in the range of 90-110% with relative standard deviations < 5%. The rapid detection system for thiamethoxam residue constructed in this study was simple, reliable, reproducible and had strong anti-interference. It has broad application prospects in the field detection of thiamethoxam residue, and serves as a valuable reference for the further development of rapid detection technology of pesticide residues in the field of environment and food safety.
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