Fabrication of spinel NiCo2O4 nanoflowers by simple hydrothermal method for effective electrochemical detection of NO2− in processed food sample
Year: 2025
Type: article
Abstract: This study introduces a novel, cost-effective, highly sensitive electrochemical sensor for detecting nitrite (NO 2 − ) in processed food samples. The sensor was developed by fabricating spinel NiCo 2 O 4 nanoflowers (NCO) using a hydrothermal method . Various characterization techniques, including XRD , FT-IR, XPS, HR-SEM, EDX , and HR-TEM, were used to analyze the structure and morphology of NCO. The obtained NCO exhibited a particle size of ∼16 nm and a flowered shape. Electrochemical impedance spectroscopy (EIS) was used to assess the electron-transfer properties. Cyclic voltammetry (CV) and chronoamperometry (CA) were employed to explore the electrocatalytic performance, revealing a high surface area and remarkable activity. The NCO electrode exhibited a remarkable sensitivity 44.16 μA mM −1 cm −2 at low concentrations and 33.51 μA mM −1 cm −2 at higher concentrations and a low detection limit of 0.99 μM. It is worth noting that the sensor displayed excellent reproducibility and repeatability, with relative standard deviation (RSD) values of 1.06 % and 1.37 %, respectively. Furthermore, the fabricated sensor was successfully applied for the detection of NO 2 − in milk, oranges, apple juice, wastewater, and processed foods such as chicken and sausage. The obtained results indicate that the proposed sensor is a promising candidate for practical NO 2 − detection applications.
Source: Food Chemistry
Authors: Ramesh Madhaiyan, Devabharathi Vijayaraghavan, Srinithi Shankar, Umamatheswari Seeman, Nagoor Meeran Mohamed Ibrahim, Sankar Chinnusamy
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,930
OpenAlex ID: W4408606631