4.7 Article

A highly-sensitive and selective antibody-like sensor based on molecularly imprinted poly(L-arginine) on COOH-MWCNTs for electrochemical recognition and detection of deoxynivalenol

Journal

FOOD CHEMISTRY
Volume 350, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2021.129229

Keywords

Mycotoxins; Deoxynivalenol; Antibody-like sensor; Poly(L-arginine); Electrochemical recognition; Molecularly imprinted polymer

Funding

  1. National Natural Science Foundation of China [31760488, 51962007, 51662014]
  2. Major Program of Jiangxi Provincial Natural Science Foundation of China
  3. Key of Natural Science Foundation of Jiangxi Province [20192ACBL21015]

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A new strategy for electrochemical recognition and detection of deoxynivalenol (DON) was proposed using a highly-sensitive and selective antibody-like sensor based on molecularly imprinted poly(L-arginine) (P-Arg-MIP) on carboxylic acid functionalized carbon nanotubes (COOH-MWCNTs). The sensor displayed high conductivity, effective surface area, antibody-like molecular recognition and affinity, and good response towards DON. This method provides a promising biomimetic sensing platform for the determination of mycotoxins in food and agro-products.
A new strategy to mimic antibody for electrochemical recognition and detection of deoxynivalenol (DON) using a highly-sensitive and selective antibody-like sensor based on molecularly imprinted poly(L-arginine) (P-Arg-MIP) on carboxylic acid functionalized carbon nanotubes (COOH-MWCNTs) was proposed. L-arginine as functional monomer was screened to prepare imprinted electrode via its electro-polymerization in the presence of DON onto the surface of COOH-MWCNTs electrode coupled with theoretical calculation. Surface morphology, structural characteristics, and electrochemical properties of P-Arg-MIP/COOH-MWCNTs were characterized by SEM, EDS, FTIR, and CV, respectively. P-Arg-MIP/COOH-MWCNTs displayed relatively high conductivity, high effective surface area, antibody-like molecular recognition and affinity, and a good response towards DON in a linear range from 0.1 to 70 mu M with LOD of 0.07 mu M in wheat flour samples with satisfactory recovery and feasible practicability in comparison with HPLC. This method provides a promising biomimetic sensing platform for the determination of mycotoxins in food and agro-products.

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