Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a f...
Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a fully integrated wearable platform
About this item
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Author / Creator
Emaminejad, Sam , Gao, Wei , Wu, Eric , Davies, Zoe A. , Nyein, Hnin Yin Yin , Challa, Samyuktha , Ryan, Sean P. , Fahad, Hossain M. , Chen, Kevin , Shahpar, Ziba , Talebi, Salmonn , Milla, Carlos , Javey, Ali , Davis, Ronald W. and Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Publisher
United States: National Academy of Sciences
Journal title
Language
English
Formats
Publication information
Publisher
United States: National Academy of Sciences
Subjects
More information
Scope and Contents
Contents
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 capitalize on this noninvasive and rich source of info...
Alternative Titles
Full title
Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a fully integrated wearable platform
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5422810
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5422810
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.1701740114
