An electrochemical microfluidic sensor based on a Cu2O-GNP nanocomposite integrated hydrogel for nitrite detection in food samples

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]
卷期号:17 (20): 4124-4137 被引量:5
标识
DOI:10.1039/d5ay00144g
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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