Glove-based sensors for multimodal monitoring of natural sweat
| Autor: | Li Chia Tai, Ali Javey, Hnin Yin Yin Nyein, Lu Li, Rahul Ghattamaneni, Christine Heera Ahn, Mallika Bariya |
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| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Analyte Multidisciplinary integumentary system Computer science SciAdv r-articles 02 engineering and technology 021001 nanoscience & nanotechnology SWEAT 03 medical and health sciences Engineering medicine.anatomical_structure Sweat analysis Blood biomarkers Sweat gland Electrochemistry Physiological monitoring medicine 0210 nano-technology Research Articles Research Article 030304 developmental biology Biomedical engineering |
| Zdroj: | Science advances, vol 6, iss 35 Science Advances |
| Popis: | Functionalized glove sensors allow natural sweat analysis without requiring exercise or iontophoretic stimulation. Sweat sensors targeting exercise or chemically induced sweat have shown promise for noninvasive health monitoring. Natural thermoregulatory sweat is an attractive alternative as it can be accessed during routine and sedentary activity without impeding user lifestyles and potentially preserves correlations between sweat and blood biomarkers. We present simple glove-based sensors to accumulate natural sweat with minimal evaporation, capitalizing on high sweat gland densities to collect hundreds of microliters in just 30 min without active sweat stimulation. Sensing electrodes are patterned on nitrile gloves and finger cots for in situ detection of diverse biomarkers, including electrolytes and xenobiotics, and multiple gloves or cots are worn in sequence to track overarching analyte dynamics. Direct integration of sensors into gloves represents a simple and low-overhead scheme for natural sweat analysis, enabling sweat-based physiological monitoring to become practical and routine without requiring highly complex or miniaturized components for analyte collection and signal transduction. |
| Databáze: | OpenAIRE |
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