检出限
过氧化氢
双模
信号(编程语言)
化学
电化学
放射性检测
过氧化物酶
氧化还原
分析化学(期刊)
无机化学
色谱法
计算机科学
电极
生物化学
酶
物理化学
电子工程
程序设计语言
人工智能
工程类
作者
Yong Zhang,Peng Zhao,Cailin Qiao,Jiaying Zhao,Yiyi Liu,Zhen Huang,Huibo Luo,Changjun Hou,Danqun Huo
出处
期刊:ACS applied nano materials
[American Chemical Society]
日期:2023-05-18
卷期号:6 (11): 9901-9909
被引量:9
标识
DOI:10.1021/acsanm.3c01791
摘要
Excessive accumulation of hydrogen peroxide (H2O2) in the physiological pool can cause oxidative stress of cells and eventually lead to the occurrence of diseases. Therefore, accurate and real-time detection of H2O2 is of great significance for disease detection and prevention. In this study, an Fe single-atom nanozyme (Fe-SNC) with an Fe-N4 active center was synthesized, which showed excellent peroxidase-like activity in an acidic environment and amazing electrocatalytic activity in H2O2 reduction reaction. Based on this, we proposed a colorimetric and electrochemical dual-signal detection strategy to real-time monitor H2O2 secreted by living cells. Compared with single-signal response mode, double-signal response mode has higher precision and sensitivity. The results show that the detection range of the colorimetric analysis method is 3–1000 μM and the detection limit is 1.3 μM. The detection range of the electrochemical analysis method is 1–8127 μM, and the detection limit is 0.61 μM. We believe that the dual-signal detection strategy based on Fe-SNC not only provides a way for the ultra-sensitive detection of hydrogen peroxide but also has a broad application prospect in clinical diagnosis.
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