Natural Perspiration Sampling and in Situ Electrochemical Analysis with Hydrogel Micropatches for User-Identifiable and Wireless Chemo/Biosensing
Natural Perspiration Sampling and in Situ Electrochemical Analysis with Hydrogel Micropatches for User-Identifiable and Wireless Chemo/Biosensing
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DOI：
10.1021/acssensors.9b01727
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发表时间：
2020-01-01
期刊：
影响因子：
8.9
通讯作者：
Emaminejad, Sam
中科院分区：
文献类型：
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作者：
Lin, Shuyu;Wang, Bo;Emaminejad, Sam
微电子学、微流体学和电化学传感平台的最新进展使得能够开发出新兴的一类完全集成的个人健康监测设备，其利用汗液来非侵入性地获取生物标志物信息。尽管有这样的进步，有效的汗液采样仍然是可靠的生物标志物分析的重大挑战，许多现有的方法需要主动刺激（例如，离子电渗疗法、运动、加热）。自然排汗提供了一种合适的替代方案，因为汗液可以在使用者的部分上以最小的努力收集。为了利用这种现象，我们设计了一种薄的水凝胶微贴片（THMP），它同时作为汗液采样的界面和电化学传感的介质。为了表征THMP的性能，选择咖啡因和乳酸盐作为两种代表性的靶分子。我们证明了采样方法的适用性，以跟踪代谢模式，以及提供样本到答案的生物标志物数据，用于个人监测（通过与电化学传感系统耦合）。为了告知其潜在的应用，该生物标志物采样和感测系统被合并在基于分布式终端的感测网络内，该感测网络独特地利用指尖作为同时进行生物标志物数据采样和用户识别的站点。
Recent advances in microelectronics, microfluidics, and electrochemical sensing platforms have enabled the development of an emerging class of fully integrated personal health monitoring devices that exploit sweat to noninvasively access biomarker information. Despite such advances, effective sweat sampling remains a significant challenge for reliable biomarker analysis, with many existing methods requiring active stimulation (e.g., iontophoresis, exercise, heat). Natural perspiration offers a suitable alternative as sweat can be collected with minimal effort on the part of the user. To leverage this phenomenon, we devised a thin hydrogel micropatch (THMP), which simultaneously serves as an interface for sweat sampling and a medium for electrochemical sensing. To characterize the performance of the THMP, caffeine and lactate were selected as two representative target molecules. We demonstrated the suitability of the sampling method to track metabolic patterns, as well as to render sample-to-answer biomarker data for personal monitoring (through coupling with an electrochemical sensing system). To inform its potential application, this biomarker sampling and sensing system is incorporated within a distributed terminal-based sensing network, which uniquely capitalizes on the fingertip as a site for simultaneous biomarker data sampling and user identification.