Intelligent Wearable Graphene Nano‐Electronics with Switchable Surface Wettability Capabilities for Autonomous Sweat Enrichment‐Purification‐Analysis

材料科学 石墨烯 纳米技术 润湿 纳米- 可穿戴技术 可穿戴计算机 数码产品 复合材料 计算机科学 嵌入式系统 电气工程 工程类
作者
Zhifeng Hao,Xiaojie Fang,Ziran Wang,Cong Huang,Feiran Li,Yang Luo,Yuhan Ying,Shenglin Ma,Jia Yuan,Xuejun Wang,Yunlu Pan
出处
期刊:Advanced Functional Materials [Wiley]
标识
DOI:10.1002/adfm.202400947
摘要

Abstract Sweat wearable biosensors facilitate continuous monitoring of individuals’ in‐depth body physiological state with real‐time and molecular‐level insight. However, limited detection accuracy and sensitivity resulted from insufficient amount of sweat sampling and impurities interferences still hinder their practical applications. Here, a miniature wearable skin‐interfaced intelligent graphene nano‐electronic (SIGN) patch employing a novel Janus membrane integrated surface wettability switchable microfluidic module with autonomous sweat sampling and purification capabilities is presented for in situ analysis of sweat biomarkers. Due to the asymmetric surface energy distribution characteristics of the microfluidic surfaces, rapid, directional transport of sufficient amount of sweat to the Janus membrane is achieved. The Janus membrane purifies the sweat sample and transport the sample to the sensing surface autonomously, thus eliminating impurities interferences and enhancing the sensing performance. An ultra‐flexible bio‐receptor functionalized graphene transistor for accurately monitoring sweat biomarkers such as lactate, with outstanding signal reproducibility and good long‐term (over 1 month) stability, and a signal processing unit are employed incorporating with the microfluidic module. In practical wearing tests, the SIGN patch enables the continuous measuring of sweat lactate levels for volunteers during exercises and intelligently providing a preliminary diagnostic assessment on their exercise intensity successfully, suggesting its potential commercialization prospects.
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
刚刚
万能图书馆应助wowser采纳,获得10
1秒前
天才小能喵完成签到 ,获得积分10
2秒前
CipherSage应助娟姐采纳,获得30
2秒前
5秒前
lipo发布了新的文献求助10
11秒前
ling完成签到,获得积分10
12秒前
15秒前
16秒前
17秒前
王云翔发布了新的文献求助10
19秒前
19秒前
zzz完成签到 ,获得积分10
19秒前
dy1994完成签到,获得积分10
19秒前
啾啾啾发布了新的文献求助10
21秒前
21秒前
22秒前
22秒前
wowser发布了新的文献求助10
22秒前
开心超人发布了新的文献求助10
24秒前
LBJ23发布了新的文献求助10
25秒前
25秒前
终醒完成签到,获得积分10
26秒前
13134发布了新的文献求助10
27秒前
万能图书馆应助啾啾啾采纳,获得10
28秒前
Jasper应助LYZSh采纳,获得10
28秒前
Iris完成签到,获得积分10
30秒前
美女的事你少管完成签到 ,获得积分0
31秒前
re发布了新的文献求助20
31秒前
伶俐的珊完成签到,获得积分10
33秒前
林宥嘉应助wowser采纳,获得10
33秒前
丁一一完成签到 ,获得积分10
35秒前
YuHang.Lu完成签到,获得积分10
35秒前
开心超人完成签到,获得积分10
35秒前
36秒前
ou应助13134采纳,获得10
36秒前
断桥残雪完成签到 ,获得积分10
37秒前
行走江湖的破忒头完成签到,获得积分0
37秒前
那一天完成签到 ,获得积分10
37秒前
Guke发布了新的文献求助10
39秒前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Teaching Social and Emotional Learning in Physical Education 900
Boris Pesce - Gli impiegati della Fiat dal 1955 al 1999 un percorso nella memoria 500
Chinese-English Translation Lexicon Version 3.0 500
Recherches Ethnographiques sue les Yao dans la Chine du Sud 500
Two-sample Mendelian randomization analysis reveals causal relationships between blood lipids and venous thromboembolism 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 460
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 2396865
求助须知:如何正确求助?哪些是违规求助? 2098897
关于积分的说明 5290189
捐赠科研通 1826412
什么是DOI,文献DOI怎么找? 910552
版权声明 560023
科研通“疑难数据库(出版商)”最低求助积分说明 486683