4.4 Article

Electrochemical Nonenzymatic Sensor Based on NiOFe2O3@carbon Nanotubes Nanocomposite for Determination of Paraoxon in Fruits and Water

Journal

Publisher

ESG
DOI: 10.20964/2021.07.16

Keywords

NiOFe2O3@CNTs; Nanocomposite; Paraoxon; Nonenzymatic sensor; Agricultural wastewater; Amperometry

Funding

  1. Science and Technology Project of China National Tobacco Corporation Henan Tobacco Company [2018410000270095]

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A NiOFe2O3@CNTs nanocomposite modified glassy carbon electrode was prepared as a nonenzymatic sensor for the electrochemical determination of paraoxon in agricultural wastewater and apple juice. The sensor showed improved electron transfer properties and electrocatalytic response due to the synergistic effect of CNTs, NiO, and Fe2O3 NPs. The sensor exhibited a low detection limit, high sensitivity, and a wide linear range for accurate detection of paraoxon in real samples.
Here, the NiOFe2O3@CNTs nanocomposite modified glassy carbon electrode (NiOFe2O3@CNTs/GCE) as nonenzymatic sensor was prepared for electrochemical determination of paraoxon in agricultural wastewater and apple juice. The sol-gel technique was used to synthesize the prepared nanocomposite. The structural and morphological characterizations of the nanocomposite were done by XRD and SEM analyses. The structural results showed that NiOFe2O3@CNTs/GCE composite has a high purity and great crystallinity with face-centered cubic structure of NiO nanoparticles (NiO NPs) and gamma-Fe(2)O(3)nanoparticles (Fe2O3 NPs) which well distributed on the walls of CNTs. Electrochemical studies were done by voltammetry and amperometry techniques which exhibited that the synergistic effect of CNTs, NiO and Fe2O3 NPs in the nanocomposite can improved the electron transfer properties and electrocatalytic response of the nanocomposite to paraoxon. The limit of detection, sensitivity and linear range were obtained of 0.001 mu M, 0.22246 mu A/ mu M and 10 to 220 mu M, respectively. Applied studies on the paraoxon sensor for determination of paraoxon in prepared real samples showed the good accuracy and acceptable values of recovery and RSD. Thus, the proposed sensor can be reliable and effective for the determination of paraoxon in real samples.

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