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Coupling diazotization with oxidase-mimetic catalysis to realize dual-mode double-ratiometric colorimetric and electrochemical sensing of nitrite

亚硝酸盐 化学 电化学 氧化酶试验 检出限 信号(编程语言) 组合化学 联轴节(管道) 色谱法 有机化学 硝酸盐 计算机科学 材料科学 电极 物理化学 程序设计语言 冶金
作者
Mengzhu Wang,Menghao Zhao,Peng Liu,Hengjia Zhu,Bangxiang Liu,Panwang Hu,Xiangheng Niu
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:355: 131308-131308 被引量:79
标识
DOI:10.1016/j.snb.2021.131308
摘要

Nitrite is often utilized as coloring and preservative agents in food industry, but excessive nitrite in drinking water and food causes great threats to human health, requiring convenient and reliable methods for its monitoring. In comparison with common single-signal assays, multimodal detection can not only expand application scenarios but also offer self-correction and self-validation to obtain more reliable results. However, how to achieve the multimodal sensing of nitrite remains a challenge. Here we report a novel dual-mode double-ratiometric colorimetric and electrochemical method for nitrite quantification by coupling diazotization with oxidase-mimicking catalysis. Carbon-supported Mn3O4 particles were explored as an oxidase-like nanozyme with excellent activity to catalyze the oxidation of colorless 3,3′,5,5′-tetramethylbenzidine (TMB) to blue TMBox. On the one hand, the presence of nitrite can induce the diazotization of TMBox, not only decreasing the visible signal of TMBox at 652 nm but also generating a new signal assigned to diazotized TMBox at 445 nm. On the other hand, the existence of nitrite triggers the decrease of the TMB homogeneous electro-oxidation signal, but offers a new electro-oxidation signal attributed to nitrite itself. With such an interesting sensing principle, a dual-mode double-ratiometric colorimetric and electrochemical approach was developed to detect nitrite with good sensitivity and specificity. Reliable applications of the method in monitoring nitrite in several matrices were also demonstrated, implying its great promise in food safety supervision and environmental monitoring.
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