聚苯胺
自愈水凝胶
材料科学
过氧亚硝酸盐
纳米复合材料
循环伏安法
电化学气体传感器
纳米技术
微流控
电化学
安培法
检出限
微分脉冲伏安法
化学工程
电极
化学
聚合物
色谱法
高分子化学
有机化学
复合材料
物理化学
工程类
聚合
酶
超氧化物
作者
Vijayesh Kumar,Ishita Matai,Ankit Kumar,Abhay Sachdev
标识
DOI:10.1007/s00604-021-05105-4
摘要
Peroxynitrite anion (ONOO-) is an important in vivo oxidative stress biomarker whose aberrant levels have pathophysiological implications. In this study, an electrochemical sensor for ONOO- detection was developed based on graphene nanoplatelets-cerium oxide nanocomposite (GNP-CeO2) incorporated polyaniline (PANI) conducting hydrogels. The nanocomposite-hydrogel platform exhibited distinct synergistic advantages in terms of large electroactive surface coverage and providing a conductive pathway for electron transfer. Besides, the 3D porous structure of hydrogel integrated the GNP-CeO2 nanocomposite to provide hybrid materials for the evolution of catalytic activity towards electrochemical oxidation of ONOO-. Various microscopic and spectroscopic characterization techniques endorsed the successful formation of GNP-CeO2-PANI hydrogel. Cyclic voltammetry (CV) measurements of GNP-CeO2-PANI hydrogel modified screen-printed electrodes (SPE) were carried out to record the current changes influenced by ONOO-. The prepared sensor demonstrated a significant dose-dependent increase in CV peak current within a linear range of 5-100 µM (at a potential of 1.12 V), and a detection limit of 0.14 with a sensitivity of 29.35 ± 1.4 μA μM-1. Further, a customized microfluidic flow system was integrated with the GNP-CeO2-PANI hydrogel modified SPE to enable continuous electrochemical detection of ONOO- at low sample volumes. The developed microfluidic electrochemical device demonstrated an excellent sensitivity towards ONOO- under optimal experimental conditions. Overall, the fabricated microfluidic device with hybrid hydrogels as electrochemical interfaces provides a reliable assessment of ONOO- levels. This work offers considerable potential for understanding the oxidative stress-related disease mechanisms through determination of ONOO- in biological samples.
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