Molecularly imprinted polymer film loaded on the metal-organic framework with improved performance using stabilized gold-doped graphite carbon nitride nanosheets for the single-step detection of Fenamiphos

Mehmandoust M., ERK N., Naser M., Soylak M.

FOOD CHEMISTRY, vol.404, 2023 (SCI-Expanded, Scopus) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 404
  • Publication Date: 2023
  • Doi Number: 10.1016/j.foodchem.2022.134627
  • Journal Name: FOOD CHEMISTRY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Chemical Abstracts Core, Chimica, Communication Abstracts, Compendex, EMBASE, Food Science & Technology Abstracts, MEDLINE, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Keywords: Molecularly imprinted polymer, Metal -organic frameworks, Fenamiphos, Agricultural sample, ORGANOPHOSPHORUS PESTICIDES, NANOPARTICLES, AG
  • Ankara University Affiliated: Yes

Abstract

A noninvasive material-based electrochemical sensor continuously monitors the fenamiphos (FMS) level in vegetable samples is highly desirable for innovative fabrics to check the health of agricultural products. Herein, an electrochemical sensor is fabricated by a sensitive molecularly imprinted polymers/metal-organic frame-work/gold stabilized on graphite carbon nitride (MIP-Au@MOF-235@g-C3N4) for monitoring the FMS level in real samples continuously with high sensitivity and accuracy. The MIP-based sensor was simply produced by a hydrothermal strategy. The MIP-Au@MOF-235@g-C3N4 had a large specific surface area and high catalytic activity, which enables the fabricated sensor with good electrochemical performance with a high sensitivity of 1.07 mu A.mu M- 1 and a wide linear range of 0.01 to 16.4 mu M. The proposed strategy was applied to determine FMS in agricultural products with satisfactory recoveries (94.7-107.9%) and a relative standard error of less than 1.0%, providing novel tactics for the rational design of MIP-sensors to determine a growing number of delete-rious substances.