Aug 2026· Journal of the Electrochemical Society· Vol 173, pp. 167503· 0 citations
TL;DR
This review systematically covers the recent progress in wearable electrochemical sensors, focusing particularly on sensing strategies of different recognition elements and critically evaluating their performance and limitations in complex biological fluids.
Abstract
Cortisol, a steroid hormone, is critical in regulating the stress response, metabolic homeostasis, and immune balance in the human body. Since cortisol is widely distributed in body fluids, the use of easily accessible fluids, such as sweat, makes continuous health assessment possible. Wearable sensors support the non-invasive and in situ collection of biomarkers, while electrochemical sensing methods have been widely used for the analysis of biomarkers due to their low cost, easy operation, high sensitivity, and fast response. The development and application of wearable electrochemical sensors provide essential support for non-invasive, real-time, and continuous monitoring of cortisol. This review systematically covers the recent progress in wearable electrochemical sensors, focusing particularly on sensing strategies of different recognition elements and critically evaluating their performance and limitations in complex biological fluids. Additionally, this review introduces the innovative applications of graphene, MXene, metal nanoparticles, and other functional materials in wearable electrochemical sensors, systematically comparing the sensing abilities of each material. Subsequently, in view of the challenges encountered in practical applications, this work discusses microfluidic integration strategies, multilayer interference-resistant interface designs, and machine learning-based data calibration methods. Finally, future prospects for interdisciplinary approaches in advancing precision medicine and real-time health monitoring are reviewed.
A skin-conformal, wearable electrochemical biosensing platform capable of real time monitoring of liver health by continuously analyzing liver-related metabolic biomarkers in sweat is developed, contributing to the advancement of next-generation personalized healthcare technologies.
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