Bibliographic Details
| Title: |
A new paradigm in tracking the dynamics of glucose and cortisol: An observational study from human sweat enabled by a skin sensor |
| Authors: |
Abha Umesh Sardesai, Cornelia Felicia Greyling, Kai-Chun Lin, Ruchita Mahesh Kumar, Sriram Muthukumar, Shalini Prasad |
| Source: |
Biosensors and Bioelectronics: X, Vol 14, Iss , Pp 100377- (2023) |
| Publisher Information: |
Elsevier, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Biotechnology |
| Subject Terms: |
electrochemical sensor, Sweat sensor, Glucose, Cortisol, Biotechnology, TP248.13-248.65 |
| More Details: |
A sedentary lifestyle is one of the leading risk factors for developing obesity, increasing the risk of cardiovascular disease. In this work, we developed a novel approach to tracking glucose and cortisol to observe the dynamic relationship between the target biomarkers due to physical activity, nutrition, and the circadian cycle, via a machine learning-assisted wearable sweat-based electrochemical sensor. The machine learning approach helps to provide real-time biomarker value and a basis for actionable insight. Through this observational study, we illustrate the real-world performance of our sensing platform by examining the glucose and cortisol levels in passive sweat ( |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2590-1370 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2590137023000742; https://doaj.org/toc/2590-1370 |
| DOI: |
10.1016/j.biosx.2023.100377 |
| Access URL: |
https://doaj.org/article/1f2541d2293d43b0a7baf71f2a8a592d |
| Accession Number: |
edsdoj.1f2541d2293d43b0a7baf71f2a8a592d |
| Database: |
Directory of Open Access Journals |
