纳米医学
可穿戴计算机
多路复用
生物燃料
纳米技术
计算机科学
工程类
嵌入式系统
电信
材料科学
纳米颗粒
废物管理
作者
Futing Wang,Changxiao Song,Yujin Li,Hongfen Yang,Dan Yang,Kangfu Chen,Xiang Li,Chengyi Hong,Ren Cai,Weihong Tan
出处
期刊:Nano Letters
[American Chemical Society]
日期:2025-06-10
卷期号:25 (24): 9853-9862
被引量:16
标识
DOI:10.1021/acs.nanolett.5c02380
摘要
Fully wearable devices are crucial for real-time health monitoring, but existing devices often lack stable power, on-site signal processing, and multimodal sensing. To overcome these limitations, we introduce the first self-powered and fully wearable sensor (MESFW) based on multiplexed green biofuels. The MESFW integrates a microfluidic module, sensing module, laser-induced graphene (LIG) electrodes, and customized electronics, enabling highly sensitive detection of glucose and alcohol in noninvasive biofluids (sweat, breath, saliva, tears) while monitoring daily activities (temperature, pressure, touch). Experiments show the MESFW can track glucose and alcohol levels before and after meals/drinking, powered continuously for 24 h. With machine learning, it accurately identifies wearing types and enables real-time health prediction. This innovation offers a novel approach to real-time physiological monitoring.
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