纳米复合材料
亚硝酸盐
石墨烯
材料科学
氧化物
电化学
电化学气体传感器
微流控
纳米技术
安培法
化学工程
化学
电极
冶金
有机化学
物理化学
工程类
硝酸盐
作者
Deepak Kumar,Deepanshu Bhatt,Deepa Garg,Vijayesh Kumar,Abhay Sachdev,Ishita Matai
出处
期刊:Analytical Methods
[Royal Society of Chemistry]
日期:2025-01-01
卷期号:17 (20): 4124-4137
被引量:5
摘要
The integration of a nanocomposite composed of cuprous oxide-graphene nanoplatelet hydrogel (Cu2O-GNP hydrogel) has been investigated as an electrochemical interface for nitrite (NO2-) detection. The nanocomposite hydrogel was prepared through the sonochemical technique and characterized by Field Emission Scanning Electron Microscopy (FE-SEM), EDX (energy dispersive X-ray analysis), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FTIR). Electrochemical performance was further evaluated using Electrochemical Impedance Spectroscopy (EIS), Cyclic Voltammetry (CV), and Differential Pulse Voltammetry (DPV). Cu2O provides a catalytic active site that lower the activation energy for NO2- oxidation, while GNPs enhance the electrode conductivity and increase the surface area for superior electron transfer. Additionally, a PDMS-based microfluidic device was developed and integrated with an electrochemical detection system, enabling continuous and real-time monitoring of NO2-. A syringe pump was used to maintain a stable NO2- solution flow through the microfluidic channels at a 10 μL per min flow rate, ensuring sufficient diffusion of NO2- ions to the electrode surface, and preventing excess analyte accumulation that could lead to signal distortion. The integrated microfluidic sensor exhibited excellent electrochemical performance, achieving a high sensitivity of 13.97 μA μM-1 cm-2 and a low detection limit (LOD) of 0.56 μM, with a linear range of 5-130 μM. Cu2O-GNP hydrogel/SPCE exhibited excellent selectivity and reproducibility for NO2- sensing. The developed sensor demonstrated good recovery percentages in sausages, pickled vegetables, and water samples, confirming its suitability for the food industry.
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