Gao Wei, Emaminejad Sam, Nyein Hnin Yin Yin, Challa Samyuktha, Chen Kevin, Peck Austin, Fahad Hossain M, Ota Hiroki, Shiraki Hiroshi, Kiriya Daisuke, Lien Der-Hsien, Brooks George A, Davis Ronald W, Javey Ali
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA.
Berkeley Sensor and Actuator Center, University of California, Berkeley, California 94720, USA.
Nature. 2016 Jan 28;529(7587):509-514. doi: 10.1038/nature16521.
Wearable sensor technologies are essential to the realization of personalized medicine through continuously monitoring an individual's state of health. Sampling human sweat, which is rich in physiological information, could enable non-invasive monitoring. Previously reported sweat-based and other non-invasive biosensors either can only monitor a single analyte at a time or lack on-site signal processing circuitry and sensor calibration mechanisms for accurate analysis of the physiological state. Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical and requires full system integration to ensure the accuracy of measurements. Here we present a mechanically flexible and fully integrated (that is, no external analysis is needed) sensor array for multiplexed in situ perspiration analysis, which simultaneously and selectively measures sweat metabolites (such as glucose and lactate) and electrolytes (such as sodium and potassium ions), as well as the skin temperature (to calibrate the response of the sensors). Our work bridges the technological gap between signal transduction, conditioning (amplification and filtering), processing and wireless transmission in wearable biosensors by merging plastic-based sensors that interface with the skin with silicon integrated circuits consolidated on a flexible circuit board for complex signal processing. This application could not have been realized using either of these technologies alone owing to their respective inherent limitations. The wearable system is used to measure the detailed sweat profile of human subjects engaged in prolonged indoor and outdoor physical activities, and to make a real-time assessment of the physiological state of the subjects. This platform enables a wide range of personalized diagnostic and physiological monitoring applications.
可穿戴传感器技术对于通过持续监测个人健康状况来实现个性化医疗至关重要。采集富含生理信息的人体汗液能够实现无创监测。先前报道的基于汗液的及其他无创生物传感器,要么一次只能监测一种分析物,要么缺乏用于准确分析生理状态的现场信号处理电路和传感器校准机制。鉴于汗液分泌的复杂性,同时对目标生物标志物进行多重筛选至关重要,且需要完整的系统集成以确保测量的准确性。在此,我们展示了一种用于多重原位汗液分析的机械柔性且完全集成(即无需外部分析)的传感器阵列,它能同时且选择性地测量汗液代谢物(如葡萄糖和乳酸)、电解质(如钠离子和钾离子)以及皮肤温度(用于校准传感器的响应)。我们的工作通过将与皮肤接触的塑料基传感器与整合在柔性电路板上用于复杂信号处理的硅集成电路相结合,弥合了可穿戴生物传感器在信号转导、调节(放大和滤波)、处理及无线传输方面的技术差距。由于这两种技术各自固有的局限性,单独使用其中任何一种都无法实现此应用。该可穿戴系统用于测量参与长时间室内和室外体育活动的人体受试者的详细汗液特征,并实时评估受试者的生理状态。这个平台能够实现广泛的个性化诊断和生理监测应用。