RT Journal Article
T1 Investigation of cortisol dynamics in human sweat using a graphene-based wireless mHealth system
A1 Torrente Rodríguez, Rebeca Magnolia
A1 Tu, Jiaobing
A1 Yang, Yiran
A1 Min, Jihong
A1 Wang, Minqiang
A1 Song, Yu
A1 Yu, You
A1 Xu, Changhao
A1 Ye, Cui
A1 William IsHak, Waguih
A1 Gao, Wei
AB Understanding and assessing endocrine response to stress is crucial to human performance analysis, stress-related disorder diagnosis, and mental health monitoring. Current approaches for stress monitoring are largely based on questionnaires, which could be very subjective. To avoid stress-inducing blood samplingandtorealizecontinuous,non-invasive,andreal-timestressanalysisat the molecular levels, we investigate the dynamics of a stress hormone, cortisol, in humansweatusinganintegratedwirelesssensingdevice.Highlysensitive,selective, and efficient cortisol sensing is enabled by a flexible sensor array that exploits the exceptional performance of laser-induced graphene for electrochemicalsensing.Here,wereportthefirstcortisoldiurnalcycleandthedynamic stress-response profile constructed from human sweat. Our pilot study demonstrates a strong empirical correlation between serum and sweat cortisol, revealing exciting opportunities offered by sweat analysis toward non-invasive dynamic stress monitoring via wearable and portable sensing platforms.
PB Elsevier
YR 2020
FD 2020-04-01
LK https://hdl.handle.net/20.500.14352/129974
UL https://hdl.handle.net/20.500.14352/129974
LA eng
NO Rebeca M. Torrente-Rodríguez, Jiaobing Tu, Yiran Yang, Jihong Min, Minqiang Wang, Yu Song, You Yu, Changhao Xu, Cui Ye, Waguih William IsHak, Wei Gao, Investigation of Cortisol Dynamics in Human Sweat Using a Graphene-Based Wireless mHealth System, Matter, Volume 2, Issue 4, 2020, Pages 921-937, ISSN 2590-2385, https://doi.org/10.1016/j.matt.2020.01.021. (https://www.sciencedirect.com/science/article/pii/S2590238520300217)
NO Prompt and accurate detection of stress is essential to the monitoring and management of mental health and human performance. Considering that current methods such as questionnaires are very subjective, we propose a highly sensitive, selective, miniaturized mHealth device based on laserenabled flexible graphene sensor to non-invasively monitor thelevel of stress hormones (e.g., cortisol). Wereport a strong correlation between sweat and circulating cortisol and demonstrate the prompt determination of sweat cortisol variation in response to acute stress stimuli. Moreover, we demonstrate, for the first time, the diurnal cycle and stress-response profile of sweat cortisol, revealing the potential of dynamic stress monitoring enabled by this mHealth sensing system. We believe that this platform could contribute to fast, reliable, and decentralizedhealthcarevigilance at the metabolic level, thus providing an accurate snapshot of our physical, mental, and behavioral changes.
NO Rothenberg Innovation Initiative (RI2)
DS Docta Complutense
RD 15 ene 2026