Jo Seongbin, Sung Daeun, Kim Sungbong, Koo Jahyun
School of Biomedical Engineering, Korea University, Seoul, 02841 Republic of Korea.
Department of Materials Science and Engineering and Materials Research Laboratory, University of Illinois At Urbana-Champaign, Urbana, IL 61801 USA.
Biomed Eng Lett. 2021 May 7;11(2):117-129. doi: 10.1007/s13534-021-00191-y. eCollection 2021 May.
Recent advances in the skin-interfaced wearable sweat sensors allow a personalized daily diagnosis and prognosis of the diseases in a form of a non-invasive, portable, and continuous monitoring system. Especially, the soft microfluidic system provides robust quantitative analysis platforms that integrate sweat sampling, storing, and various sensing capabilities. This review systematically introduces the sweat collecting mechanism using soft microfluidic valves, including calculation of sweat storage and loss. In terms of sweat analysis, colorimetric (e.g. enzymatic, chemical, or their mixed reactions), electrochemical (e.g. voltammetric, potentiometric, amperometric, or conductometric), and multiplex measurements of sweat contents facilitate diagnosis of diseases via analysis of combined multiple data, such as vital signals (e.g. ECG, EMG, EEG, etc.) and information from the skin (e.g. temperature, GSR, etc.). The integration of wireless communication with the microfluidic systems enables point-of-care health monitoring for disease and specific physiological status.
皮肤接口可穿戴汗液传感器的最新进展使得以无创、便携和连续监测系统的形式对疾病进行个性化的日常诊断和预后评估成为可能。特别是，柔软的微流体系统提供了强大的定量分析平台，该平台集成了汗液采样、存储和各种传感功能。本综述系统地介绍了使用柔软微流体阀的汗液收集机制，包括汗液储存和流失的计算。在汗液分析方面，比色法（如酶促、化学或它们的混合反应）、电化学法（如伏安法、电位法、安培法或电导法）以及汗液成分的多重测量，通过分析多个组合数据（如生命信号，如心电图、肌电图、脑电图等）和来自皮肤的信息（如温度、皮电反应等），有助于疾病的诊断。将无线通信与微流体系统集成，能够实现对疾病和特定生理状态的即时医疗健康监测。
