A wearable patch for continuous analysis of thermoregulatory sweat at rest
| Autor: | Mallika Bariya, Ali Javey, Brenden Janatpour Brown, Christine Heera Ahn, Wenbo Ji, Noelle Davis, Hnin Yin Yin Nyein, Brandon Tran |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Secretion rate Rest Physiological Science Microfluidics General Physics and Astronomy Wearable computer Sweating Walking Biosensing Techniques 02 engineering and technology Stress General Biochemistry Genetics and Molecular Biology Continuous analysis Levodopa SWEAT Wearable Electronic Devices 03 medical and health sciences Stress Physiological Sweat analysis Humans Medicine Sweat Human Body Multidisciplinary integumentary system business.industry Neurosciences Parkinson Disease Diagnostic marker General Chemistry Hydrogen-Ion Concentration Thermoregulation 021001 nanoscience & nanotechnology Hypoglycemia 030104 developmental biology 0210 nano-technology Wearable Electronic Device business Body Temperature Regulation Biomedical engineering |
| Zdroj: | Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021) Nature communications, vol 12, iss 1 |
| ISSN: | 2041-1723 |
| Popis: | The body naturally and continuously secretes sweat for thermoregulation during sedentary and routine activities at rates that can reflect underlying health conditions, including nerve damage, autonomic and metabolic disorders, and chronic stress. However, low secretion rates and evaporation pose challenges for collecting resting thermoregulatory sweat for non-invasive analysis of body physiology. Here we present wearable patches for continuous sweat monitoring at rest, using microfluidics to combat evaporation and enable selective monitoring of secretion rate. We integrate hydrophilic fillers for rapid sweat uptake into the sensing channel, reducing required sweat accumulation time towards real-time measurement. Along with sweat rate sensors, we integrate electrochemical sensors for pH, Cl−, and levodopa monitoring. We demonstrate patch functionality for dynamic sweat analysis related to routine activities, stress events, hypoglycemia-induced sweating, and Parkinson’s disease. By enabling sweat analysis compatible with sedentary, routine, and daily activities, these patches enable continuous, autonomous monitoring of body physiology at rest. |
| Databáze: | OpenAIRE |
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