Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis

可穿戴计算机 计算机科学 多路复用 生物传感器 分析物 仪表(计算机编程) 材料科学 出汗 计算机硬件 嵌入式系统 纳米技术 化学 电信 操作系统 物理化学 复合材料
作者
Wei Gao,Sam Emaminejad,Hnin Yin Yin Nyein,Samyuktha Challa,Kevin Chen,Austin J. Peck,Hossain M. Fahad,Hiroki Ota,Hiroshi Shiraki,Daisuke Kiriya,Der Hsien Lien,George A. Brooks,Ronald W. Davis,Ali Javey
出处
期刊:Nature [Springer Nature]
卷期号:529 (7587): 509-514 被引量:3489
标识
DOI:10.1038/nature16521
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
FashionBoy应助io如果采纳,获得10
1秒前
水木发布了新的文献求助10
1秒前
1秒前
2秒前
2秒前
2秒前
JamesPei应助lfj1865采纳,获得10
2秒前
2秒前
4秒前
我不会乱起名字的完成签到,获得积分10
4秒前
脑洞疼应助冰糖葫芦娃采纳,获得10
4秒前
纯真无施发布了新的文献求助10
5秒前
lizhen发布了新的文献求助10
6秒前
FionaYoung发布了新的文献求助10
6秒前
哈哈发布了新的文献求助10
7秒前
郭志强发布了新的文献求助200
7秒前
feiyu完成签到,获得积分10
8秒前
花木兰完成签到,获得积分10
8秒前
8秒前
奋斗的暖阳完成签到,获得积分10
10秒前
10秒前
ceds完成签到,获得积分10
10秒前
10秒前
木歌应助川川采纳,获得10
11秒前
张泽崇应助川川采纳,获得10
11秒前
方非笑应助lizhen采纳,获得10
11秒前
小马甲应助小绳子儿采纳,获得10
13秒前
高公页发布了新的文献求助10
13秒前
王锋发布了新的文献求助10
13秒前
d.zhang发布了新的文献求助10
13秒前
冰糖葫芦娃完成签到,获得积分10
13秒前
LISHO完成签到 ,获得积分10
14秒前
14秒前
奕崽完成签到,获得积分10
14秒前
孤独的雪一完成签到,获得积分10
14秒前
17秒前
weiwei完成签到,获得积分10
17秒前
18秒前
元归尘完成签到 ,获得积分10
18秒前
ikssu应助哈哈采纳,获得10
19秒前
高分求助中
Teaching Social and Emotional Learning in Physical Education 900
Gymnastik für die Jugend 600
Chinese-English Translation Lexicon Version 3.0 500
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
マンネンタケ科植物由来メロテルペノイド類の網羅的全合成/Collective Synthesis of Meroterpenoids Derived from Ganoderma Family 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 440
Plesiosaur extinction cycles; events that mark the beginning, middle and end of the Cretaceous 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2385012
求助须知:如何正确求助?哪些是违规求助? 2091745
关于积分的说明 5260814
捐赠科研通 1818734
什么是DOI,文献DOI怎么找? 907097
版权声明 559114
科研通“疑难数据库(出版商)”最低求助积分说明 484518