Zhou Fangfang, Zhao Hongli, Shi Zehui, Hou Jian, Lan Minbo
Shanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, People's Republic of China.
Research Center of Analysis and Test, East China University of Science and Technology, Shanghai, 200237, People's Republic of China.
Anal Methods. 2025 Feb 6;17(6):1281-1289. doi: 10.1039/d4ay01942c.
Non-invasive continuous detection using tears or sweat as substitutes for blood samples has become an emerging method for real-time monitoring of human health. However, its development is limited by the low sample volume and low level of analytes. The simultaneous determination of multi-analytes with highly sensitive electrochemical sensing platforms has undoubtedly resulted in breakthrough innovations. Furthermore, the determination mode of multi-analyte combinations can accurately characterize the course of certain diseases. In particular, the simultaneous determination of ascorbic acid (AA), uric acid (UA), and acetaminophen (AC) in sweat will provide a one-stop detection system for cardiovascular and degenerative diseases for the entire course analysis. A sacrificial template strategy was adopted in this work using graphene oxide (GO) to guide the growth of two-dimensional Fe-Co composite nanoflakes with large specific surface areas. Defects were introduced doping carbon through the incomplete pyrolysis of GO. The synthesized C-FeCoO exhibited massive redox sites and was highly reactive, which met the requirements for multi-substance analysis. The electrochemical sensor based on C-FeCoO accurately and sensitively demonstrated simultaneous detection of AA, UA, and AC in sweat, with a wide detection range for AA (4.0-11500 μM) and high sensitivity for UA and AC (304.5 μA mM and 404.1 μA mM, respectively), along with low detection limit (1.69 μM for AA, 0.23 μM for UA, and 0.07 μM for AC). The sensor also possessed adequate mechanical flexibility, making it suitable for body surface detection, and its performance was maintained above 80% after high-intensity bending 350 times.
使用眼泪或汗液替代血样进行无创连续检测已成为实时监测人体健康的一种新兴方法。然而，其发展受到样品量低和分析物水平低的限制。利用高灵敏度电化学传感平台同时测定多种分析物无疑带来了突破性创新。此外，多分析物组合的测定模式可以准确地表征某些疾病的进程。特别是，同时测定汗液中的抗坏血酸（AA）、尿酸（UA）和对乙酰氨基酚（AC）将为心血管疾病和退行性疾病的全程分析提供一站式检测系统。本工作采用牺牲模板策略，利用氧化石墨烯（GO）引导具有大比表面积的二维Fe-Co复合纳米片生长。通过GO的不完全热解引入缺陷进行碳掺杂。合成的C-FeCoO表现出大量的氧化还原位点且反应活性高，满足多物质分析的要求。基于C-FeCoO的电化学传感器准确、灵敏地实现了汗液中AA、UA和AC的同时检测，对AA具有宽检测范围（4.0 - 11500 μM），对UA和AC具有高灵敏度（分别为304.5 μA mM和404.1 μA mM），且检测限低（AA为1.69 μM，UA为0.23 μM，AC为0.07 μM）。该传感器还具有足够的机械柔韧性，适用于体表检测，在高强度弯曲350次后其性能保持在80%以上。
