Sweat-Based Electrochemical Wearable Biosensors for Sports Performance and Fatigue Monitoring from Laboratory Prototypes to Field Deployment

Abstract

Wearable biosensing technologies are advancing sports performance monitoring by enabling continuous and real-time measurement of physiological and biochemical parameters. Among non-invasive biofluids, sweat has become the most widely studied medium due to its easy accessibility during physical activity and its presence of multiple relevant biomarkers. This review critically examines recent developments in sweat-based wearable biosensing technologies and identifies key challenges that hinder their transition from laboratory prototypes to practical sports-monitoring systems. The discussion includes a brief introduction to sweat generation, important biomarkers present in sweat, and their significance in sports health monitoring. Various electrochemical sensing platforms designed for sweat analysis are reviewed with emphasis on their structural design and operational mechanisms. Major application areas, including lactate monitoring for fatigue detection, electrolyte sensing for hydration assessment, and cortisol measurement for stress evaluation, are discussed. The review also highlights important challenges, including sensor calibration, motion-related artifacts, variability in sweat composition among individuals, and long-term operational stability. Emerging approaches, including multimodal sensing, machine-learning-assisted data interpretation, nanomaterial-enabled sensors, and closed-loop feedback systems, are also discussed as potential solutions to improve the reliability and real-world applicability of sweat-based wearable biosensors for sports performance monitoring.

Article information

Article type
Tutorial Review
Submitted
14 Mar 2026
Accepted
13 May 2026
First published
15 May 2026

Anal. Methods, 2026, Accepted Manuscript

Sweat-Based Electrochemical Wearable Biosensors for Sports Performance and Fatigue Monitoring from Laboratory Prototypes to Field Deployment

K. Umapathi, Anal. Methods, 2026, Accepted Manuscript , DOI: 10.1039/D6AY00459H

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