An Integrated Paper‐Based Patch for Wearable Detection of Diabetic Nephropathy Biomarkers in Sweat

材料科学 可穿戴计算机 汗水 糖尿病肾病 可穿戴技术 纳米技术 糖尿病 生物医学工程 计算机科学 医学 内科学 嵌入式系统 内分泌学
作者
Shanshan Zhang,Hongfeng Wang,Yuke Zheng,Yelan Yao,Tianyu Li,Yukun Ma,Yue Zhou,Zhiyang Chen,Yi‐Ming Wei,Fang Lü,Xiangmei Chen,Xuesong Ye,Jianhui Zhou,Bo Liang
出处
期刊:Advanced Functional Materials [Wiley]
卷期号:35 (41) 被引量:15
标识
DOI:10.1002/adfm.202501970
摘要

Abstract The global epidemic of diabetes has popularized at‐home glucose monitoring. However, detecting biomarkers for serious diabetes complications, such as diabetic nephropathy (DN), still necessitates frequent hospital visits, invasive blood analyses, and bulky laboratory equipment. Herein, a wireless wearable device based on an integrated paper‐based patch (IPP) for non‐invasive monitoring of three key DN biomarkers: glucose, creatinine, and uric acid, via in situ sweat analysis, is demonstrated. The disposable IPP realizes the all‐in‐one preparation of a high‐performance electrochemical sensor array, an efficient microfluidic module, and iontophoresis electrodes, enabling reliable multi‐parametric on‐body sweat monitoring at rest. Notably, all electrodes on the IPP are treated with acrylamide‐doped PEDOT: PSS conductive ink, imparting high conductivity to the IPP while preserving the porous structure of the paper substrate, thereby maximizing the electrochemically active area for highly sensitive detection of biomarkers. The usability of the wearable device is validated in assessing metabolic status in healthy participants after dietary intake and during physical exercise, as well as dialysis efficacy during hemodialysis in patients with end‐stage renal disease. The wearable device for detecting DN biomarkers in sweat may facilitate at‐home disease monitoring and the real‐time assessment of hemodialysis efficacy for DN patients.
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
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
qqq发布了新的文献求助10
刚刚
1秒前
YYAXL发布了新的文献求助10
2秒前
2秒前
我会发财发布了新的文献求助10
2秒前
烟花应助禅明爱月采纳,获得10
3秒前
小太阳发布了新的文献求助10
4秒前
科研通AI6.4应助可言采纳,获得10
4秒前
4秒前
4秒前
Samming发布了新的文献求助10
4秒前
5秒前
6秒前
FashionBoy应助Cholera采纳,获得10
6秒前
烟花应助科研通管家采纳,获得10
6秒前
xmjy完成签到,获得积分10
7秒前
7秒前
文静紫烟发布了新的文献求助10
7秒前
7秒前
Owen应助科研通管家采纳,获得10
7秒前
7秒前
核桃应助科研通管家采纳,获得30
7秒前
司徒开山发布了新的文献求助10
7秒前
彭于晏应助绿色植物采纳,获得10
7秒前
JamesPei应助科研通管家采纳,获得10
7秒前
李健应助科研通管家采纳,获得10
8秒前
8秒前
星辰大海应助科研通管家采纳,获得10
8秒前
曾经的雅琴完成签到,获得积分10
8秒前
乐乐应助科研通管家采纳,获得10
8秒前
achulw发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
JamesPei应助科研通管家采纳,获得10
9秒前
Nole应助科研通管家采纳,获得10
9秒前
9秒前
小二郎应助科研通管家采纳,获得10
9秒前
9秒前
汉堡包应助科研通管家采纳,获得30
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
化工安全与环保 1000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7652568
求助须知:如何正确求助?哪些是违规求助? 9223942
关于积分的说明 19810973
捐赠科研通 7218547
什么是DOI,文献DOI怎么找? 3278975
关于科研通互助平台的介绍 2439709
邀请新用户注册赠送积分活动 2278161