4.6 Article

Analysis of imidacloprid residues in mango, cowpea and water samples based on portable molecular imprinting sensors

期刊

PLOS ONE
卷 16, 期 9, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0257042

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资金

  1. Basic and Applied Basic Research Program of Hainan Province [2019RC023]
  2. High-level Talent Project of Hainan Natural Science Foundation [320RC499]
  3. Key R&D Projects of Hainan Province [ZDYF2019096]
  4. Hainan Provincial Association for Science and Technology Youth Science and Technology Talents Academic Innovation Program Project [QCXM201908]
  5. Natural Science Foundation of China [31760518]
  6. College Students' innovation and Entrepreneurship Project
  7. Key Laboratory of Tropical Fruit Tree Biology of Hainan Province [KFZX2020001]

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Imidacloprid is widely used in agricultural production as an insecticide, and establishing a method to detect its residues is important. This study successfully prepared an electrochemical sensor for imidacloprid using molecular imprinting and demonstrated its feasibility and practicality.
Imidacloprid is a neonicotinoid insecticide widely used in the production and cultivation of crops. In recent years, the extensive use of imidacloprid in agricultural production has resulted in large amounts of pesticide residues in agricultural products and the environment. Therefore, it is necessary to establish a rapid, accurate, sensitive and convenient method for detecting imidacloprid pesticide residues to ensure the safety of agricultural products and the environment. To clarify how to use the molecular imprinting method for the electrochemical rapid residue detection of imidacloprid. This paper selected reduced graphene oxide and gold nanoparticles as modifiers modified on screen-printed carbon electrodes (SPCE) chitosan as a functional monomer, and imidacloprid as template molecule to prepare molecularly imprinted polymer, and applied this sensor to the residue detection of imidacloprid. The results showed that the concentration of imidacloprid showed a good linear relationship with the peak response current, and the detection limit of imidacloprid was 0.5 mu M, while the sensor had good repeatability and interference resistance. The recoveries of imidacloprid spiked on three samples, mango, cowpea and water, were in the range of 90-110% (relative standard deviation, RSD<5%), which proved the practicality and feasibility of the assay established in this paper. The results of this paper can be used as a basis for the research on the detection of imidacloprid pesticide residues in food or environment.

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