Cap-Sweat: a capillary microfluidic platform for digitized sweat sampling and time-resolved biomarker analysis

Abstract

Wearable biofluid sampling systems are often limited by poor temporal resolution, evaporative loss, and dependence on glandular pressure for fluid propulsion. We present Cap-Sweat, a first-of-its-kind, ventless capillary microfluidic device that passively digitizes sweat into sequential, time-resolved compartments without requiring absorbent pads, hydrogels, or external actuation. Adapted from our Cap-Drop droplet platform for 3D cell culture, Cap-Sweat incorporates pre-programmed capillary circuits, multilayer laser-fabricated architecture, and hydrophilic–hydrophobic patterning to autonomously guide, delay, and arrest flow at discrete microchambers. A centralized, sealed venting mechanism prevents sample evaporation while maintaining bubble-free, pump-free operation. In vivo studies during exercise demonstrated continuous cortisol chrono-sampling with sub-minute resolution, capturing a transient early surge followed by fluctuating oscillations—dynamics that are undetectable using conventional continuous-flow or absorbent-based patches. This high-fidelity, temporally resolved biomarker profiling reveals previously obscured features of acute stress physiology and supports applications in neuroendocrine research, psychological health monitoring, and performance tracking. Cap-Sweat's compatibility with ELISA and future biosensor integration, combined with its scalable, low-cost design, positions it as a versatile platform for point-of-care diagnostics and personalized health analytics.

Graphical abstract: Cap-Sweat: a capillary microfluidic platform for digitized sweat sampling and time-resolved biomarker analysis

Supplementary files

Article information

Article type
Paper
Submitted
20 Dec 2025
Accepted
23 Mar 2026
First published
07 Apr 2026
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2026, Advance Article

Cap-Sweat: a capillary microfluidic platform for digitized sweat sampling and time-resolved biomarker analysis

P. Jalali and A. S. Nezhad, Lab Chip, 2026, Advance Article , DOI: 10.1039/D5LC01172H

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