可穿戴计算机
计算机科学
分析
可穿戴技术
纳米技术
数据科学
嵌入式系统
材料科学
作者
Andre Childs,Beatriz Mayol,José A. Lasalde‐Ramírez,Yu Song,Juliane R. Sempionatto,Wei Gao
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-08-26
卷期号:18 (36): 24605-24616
被引量:9
标识
DOI:10.1021/acsnano.4c10344
摘要
Sweat analysis has advanced from diagnosing cystic fibrosis and testing for illicit drugs to noninvasive monitoring of health biomarkers. This article introduces the rapid development of wearable and flexible sweat sensors, highlighting key milestones and various sensing strategies for real-time monitoring of analytes. We discuss challenges such as developing high-performance nanomaterial-based biosensors, ensuring continuous sweat production and sampling, achieving high sweat/blood correlation, and biocompatibility. The potential of machine learning to enhance these sensors for personalized healthcare is presented, enabling real-time tracking and prediction of physiological changes and disease onset. Leveraging advancements in flexible electronics, nanomaterials, biosensing, and data analytics, wearable sweat biosensors promise to revolutionize disease management, prevention, and prediction, promoting healthier lifestyles and transforming medical practices globally.
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