Year: 2024
Type: other
Abstract: 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.
Source: ACS Nano
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, American Cancer Society, City University of Hong Kong, Rice University, National Institutes of Health, Defense Health Agency, National Heart, Lung, and Blood Institute, Office of Naval Research, National Institute of Diabetes and Digestive and Kidney Diseases, Division of Electrical, Communications and Cyber Systems, Army Research Office, U.S. Army Medical Research Acquisition Activity, National Science Foundation Graduate Research Fellowship Program
Awards: G1339463652, G3203213839, G3386155269, G406746274, G5104393650, CAREER: Rationale Design of Autonomous Biomimetic Wearable Sensor for Personalized Molecular Monitoring of Long COVID, Wearable biosensors for point of care personalization of cancer drugs, G6467655817, G7024085633, G7452299184, G7738888058, G8537506676, G8873646666, G8876996369, G9000337392, G950936640
OpenAlex ID: W4401885458