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CortiWatch: watch-based cortisol tracker
Sweat-based analytics have recently caught the attention of researchers and medical professionals alike because they do not require professionally trained personnel or invasive collection techniques to obtain a sample. The following presents a small form-factor biosensor for reporting physiological...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Science Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787562/ https://www.ncbi.nlm.nih.gov/pubmed/31608155 http://dx.doi.org/10.2144/fsoa-2019-0061 |
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author | Rice, Paul Upasham, Sayali Jagannath, Badrinath Manuel, Roshan Pali, Madhavi Prasad, Shalini |
author_facet | Rice, Paul Upasham, Sayali Jagannath, Badrinath Manuel, Roshan Pali, Madhavi Prasad, Shalini |
author_sort | Rice, Paul |
collection | PubMed |
description | Sweat-based analytics have recently caught the attention of researchers and medical professionals alike because they do not require professionally trained personnel or invasive collection techniques to obtain a sample. The following presents a small form-factor biosensor for reporting physiological ranges of cortisol present in ambient sweat (8–151 ng/ml). This device obtains cortisol measurements through low volumes of unstimulated sweat from the user's wrist. We designed a potentiostatic circuit on a printed circuit board to perform electrochemical testing techniques. The detection modality developed for quantifying sensor response to varying cortisol concentrations is a current based electrochemical technique, chronoamperometry (CA). From the results, the sensor can detect cortisol in the physiologically relevant ranges of cortisol; thus, the sensor is a noninvasive, label free, cost-effective solution for tracking cortisol levels for circadian diagnostics. |
format | Online Article Text |
id | pubmed-6787562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Future Science Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-67875622019-10-11 CortiWatch: watch-based cortisol tracker Rice, Paul Upasham, Sayali Jagannath, Badrinath Manuel, Roshan Pali, Madhavi Prasad, Shalini Future Sci OA Research Article Sweat-based analytics have recently caught the attention of researchers and medical professionals alike because they do not require professionally trained personnel or invasive collection techniques to obtain a sample. The following presents a small form-factor biosensor for reporting physiological ranges of cortisol present in ambient sweat (8–151 ng/ml). This device obtains cortisol measurements through low volumes of unstimulated sweat from the user's wrist. We designed a potentiostatic circuit on a printed circuit board to perform electrochemical testing techniques. The detection modality developed for quantifying sensor response to varying cortisol concentrations is a current based electrochemical technique, chronoamperometry (CA). From the results, the sensor can detect cortisol in the physiologically relevant ranges of cortisol; thus, the sensor is a noninvasive, label free, cost-effective solution for tracking cortisol levels for circadian diagnostics. Future Science Ltd 2019-09-26 /pmc/articles/PMC6787562/ /pubmed/31608155 http://dx.doi.org/10.2144/fsoa-2019-0061 Text en © 2019 Shalini Prasad This work is licensed under the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Research Article Rice, Paul Upasham, Sayali Jagannath, Badrinath Manuel, Roshan Pali, Madhavi Prasad, Shalini CortiWatch: watch-based cortisol tracker |
title | CortiWatch: watch-based cortisol tracker |
title_full | CortiWatch: watch-based cortisol tracker |
title_fullStr | CortiWatch: watch-based cortisol tracker |
title_full_unstemmed | CortiWatch: watch-based cortisol tracker |
title_short | CortiWatch: watch-based cortisol tracker |
title_sort | cortiwatch: watch-based cortisol tracker |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787562/ https://www.ncbi.nlm.nih.gov/pubmed/31608155 http://dx.doi.org/10.2144/fsoa-2019-0061 |
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