Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a fully integrated wearable platform

Perspiration-based wearable biosensors facilitate continuous monitoring of individuals’ health states with real-time and molecular-level insight. The inherent inaccessibility of sweat in sedentary individuals in large volume (≥10 µL) for on-demand and in situ analysis has limited our ability to capi...

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Dettagli Bibliografici
Pubblicato in:Proc Natl Acad Sci U S A
Autori principali: Emaminejad, Sam, Gao, Wei, Wu, Eric, Davies, Zoe A., Yin Yin Nyein, Hnin, Challa, Samyuktha, Ryan, Sean P., Fahad, Hossain M., Chen, Kevin, Shahpar, Ziba, Talebi, Salmonn, Milla, Carlos, Javey, Ali, Davis, Ronald W.
Natura: Artigo
Lingua:Inglês
Pubblicazione: National Academy of Sciences 2017
Soggetti:
Physical Sciences
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5422810/
https://ncbi.nlm.nih.gov/pubmed/28416667
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1701740114
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