A wearable electrochemical sensor utilizing multifunctional hydrogel for antifouling ascorbic acid quantification in sweat

被引:0
|
作者
Wei, Zhen [1 ]
Li, Yanxin [1 ]
Guo, Shuyue [1 ]
Han, Rui [1 ]
Luo, Xiliang [1 ]
机构
[1] Qingdao Univ Sci & Technol, Coll Chem & Mol Engn, Key Lab Opt Elect Sensing & Analyt Chem Life Sci, Shandong Key Lab Biochem Anal,MOE, Qingdao 266042, Peoples R China
基金
中国国家自然科学基金;
关键词
Wearable sensor; Multifunctional hydrogel; Antifouling; Ascorbic acid; Sweat; GLYCOL);
D O I
10.1016/j.aca.2024.343548
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The accurate and reliable quantification of the levels of disease markers in human sweat is of significance for health monitoring through wearable sensing technology, but the sensors performed in real sweat always suffer from biofouling that cause performance degradation or even malfunction. We herein developed a wearable antifouling electrochemical sensor based on a novel multifunctional hydrogel for the detection of targets in sweat. The integration of polyethylene glycol (PEG) into the sulfobetaine methacrylate (SBMA) hydrogel results in a robust network structure characterized by abundant hydrophilic groups on its surface, significantly enhancing the PEG-SBMA hydrogel's antifouling and mechanical properties. The wearable sweat sensor is specifically designed for ascorbic acid (AA) detection. The incorporation of a silver nanoparticles-molybdenum disulfide (AgNPs-MoS2) composite material into the hydrogel significantly enhances its catalytic properties towards AA. Electrochemical analysis confirms that the sensor reliably detects AA in real sweat with minimal interference from other components and bacteria, demonstrating its practical application potential. Furthermore, this multifunctional hydrogel's mechanical robustness and strong adhesion to various substrates ensure its practical applicability in wearable devices. This technology provides a foundation for accurate health monitoring in wearable sensors, enabling advanced, non-invasive diagnostic tools for personalized healthcare.
引用
收藏
页数:8
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