<p>The Eugenol (4 allyl- 2 methoxyphenol), which is a critical phenolic compound found in several Asian spices and widely recognized for their medicinal purposes. However, its the concentration must be monitored strictly in food products to mitigate any potential toxicity. This work discusses the need for trace level sensing of Eugenol through electrochemical sensor platform. The electrode used was ZnFe<sub>2</sub>O<sub>4</sub>@GCN-modified GCE. ZnFe<sub>2</sub>O<sub>4</sub> nanoparticles were synthesized by the reflux condensation method. Graphitic carbon nitride (GCN) was prepared by thermal polymerization of urea. The present study explores the optimum circumstances to detect Eugenol, focusing on factors like electrode modification and the effect of pH on the electrochemical response. The prepared ZnFe<sub>2</sub>O<sub>4</sub>@GCN nanocomposites were analyzed structurally, morphologically, and compositionally to understand their crystallinity, surface topology, elemental composition, and chemical bonds. The electrochemical studies to analyze the conductivity and charge transfer of the electrode the cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were performed in the redox probe environment. The surface of the GCE (glassy carbon electrode) modified with ZnFe<sub>2</sub>O<sub>4</sub>@GCN exhibited a good electrochemical response for detection of Eugenol. The voltammetric studies were carried out for an optimized ratio in phosphate buffer (pH = 2). The initial parameters were optimized so that the modified electrode exhibited good electro catalytic activity. The sensitivity, limit of detection (LOD), and linear detection of eugenol were studied by Differential pulse voltammetry (DPV) analysis. The studies revealed that ZnFe<sub>2</sub>O<sub>4</sub>@GCN-modified GCE has the LOD = 0.013 µM and a sensitivity of 27.67 µA µM<sup>−1</sup>&#xa0;cm<sup>−2</sup>. The real-world application of these sensors has been studied with real-life samples with the recovery percentage calculated.</p>

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ZnFe2O4 Decorated Graphitic Carbon Nitride Nanocomposite for Selective Electrochemical Sensing of Eugenol

  • S. Sindhu Kavi,
  • Mani Govindsamy,
  • E. Ranjith Kumar,
  • Pin-Yi Chen

摘要

The Eugenol (4 allyl- 2 methoxyphenol), which is a critical phenolic compound found in several Asian spices and widely recognized for their medicinal purposes. However, its the concentration must be monitored strictly in food products to mitigate any potential toxicity. This work discusses the need for trace level sensing of Eugenol through electrochemical sensor platform. The electrode used was ZnFe2O4@GCN-modified GCE. ZnFe2O4 nanoparticles were synthesized by the reflux condensation method. Graphitic carbon nitride (GCN) was prepared by thermal polymerization of urea. The present study explores the optimum circumstances to detect Eugenol, focusing on factors like electrode modification and the effect of pH on the electrochemical response. The prepared ZnFe2O4@GCN nanocomposites were analyzed structurally, morphologically, and compositionally to understand their crystallinity, surface topology, elemental composition, and chemical bonds. The electrochemical studies to analyze the conductivity and charge transfer of the electrode the cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were performed in the redox probe environment. The surface of the GCE (glassy carbon electrode) modified with ZnFe2O4@GCN exhibited a good electrochemical response for detection of Eugenol. The voltammetric studies were carried out for an optimized ratio in phosphate buffer (pH = 2). The initial parameters were optimized so that the modified electrode exhibited good electro catalytic activity. The sensitivity, limit of detection (LOD), and linear detection of eugenol were studied by Differential pulse voltammetry (DPV) analysis. The studies revealed that ZnFe2O4@GCN-modified GCE has the LOD = 0.013 µM and a sensitivity of 27.67 µA µM−1 cm−2. The real-world application of these sensors has been studied with real-life samples with the recovery percentage calculated.