A dam‐inspired textile patch with layer‐by‐layer isovolumetric water transport for sweat loss monitoring

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Authors: Mengyuan Liu, Tong Zhang, Tong Zhang, Hao Shen, Siyuan Liu, Siyuan Liu, Changlei Ge, Dengfeng Zhou, Mingxu Wang, Mingxu Wang, Feng Wen, Qiang Gao
+5 more Lianhui Li, Zuoping Xiong, Shuqi Wang, Ting Zhang, Ting Zhang
Cited by: 1
References: 48

Abstract

Abstract Monitoring sweat loss is an effective method for evaluating dehydration during body thermoregulation. However, current wearable microfluidic sweat sensors often face limitations in terms of breathability and heat dissipation, and textile‐based sweat sensors cannot achieve the accurate control and detection of sweat volume. Herein, we report a textile patch with an unprecedented layer‐by‐layer isovolumetric water transport (IVWT) ability for sweat loss monitoring. The patch features an all‐porous laminated fabric with multiple IVWT units and conductive nonwoven fabric sensing units, enabling controllable and quantitative sweat penetration similar to dam‐transporting ships. Each layer of the IVWT unit could accurately and stably transport 6.29 ± 0.10 μL of sweat across all tests. This design allows the identification of sweat volume by increasing stepwise jumps in the conductance signals. The dam‐inspired textile patch not only provides sweat volume measurements that are highly consistent with those obtained using the absorbent pad method but also offers superior air permeability (~98% of the clothing), excellent heat dissipation (~79% of the uncovered skin), and excellent compatibility, which facilitates seamless integration into various types of wearable garments. A fully integrated wireless transmission device with the textile patch provided a validated predictive model for estimating whole‐body sweat loss during dehydration monitoring. image

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Thermoregulation and physiological responses Nanomaterials and Printing Technologies

Publication details

Journal / source
InfoMat
Publisher
Wiley
Volume
8
Issue
4
Publication date
19 January 2026
Language
EN