材料科学
杰纳斯
纳米技术
汗水
拉曼光谱
分析物
毛细管作用
拉曼散射
纤维
可穿戴计算机
光电子学
光学
计算机科学
化学
复合材料
色谱法
海洋学
物理
地质学
嵌入式系统
作者
Yu Han,Xiaohui Fang,Hanlin Li,Lei Zha,Jinxin Guo,Xinping Zhang
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2023-12-05
卷期号:8 (12): 4774-4781
被引量:4
标识
DOI:10.1021/acssensors.3c01863
摘要
Wearable sweat sensors provide real-time monitoring of biomarkers, enabling individuals to gain real-time insight into their health status. Current sensors primarily rely on electrochemical mechanisms, limiting their capacity for the concurrent detection of multiple analytes. Surface-enhanced Raman scattering spectroscopy offers an alternative approach by providing molecular fingerprint information to facilitate the identification of intricate analytes. In this study, we combine a wearable Janus fabric for efficient sweat collection and a grapefruit optical fiber embedded with Ag nanoparticles as a sensitive SERS probe. The Janus fabric features a superhydrophobic side in contact with the skin and patterned superhydrophilic regions on the opposite surface, facilitating the unidirectional flow of sweat toward these hydrophilic zones. Grapefruit optical fibers feature sharp tips with the ability to penetrate transparent dressings. Its microchannels extract sweat through capillary force, and nanoliter-scale volumes of sweat are sufficient to completely fill them. The Raman signal of sweat components is greatly enhanced by the plasmonic hot spots and accumulates along the fiber length. We demonstrate sensitive detection of sodium lactate and urea in sweat with a detection limit much lower than the physiological concentration levels. Moreover, the platform shows its capability for multicomponent detection and extends to the analysis of real human sweat.
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