%0 Journal Article
%A Torrente Rodríguez, Rebeca Magnolia
%A Tu, Jiaobing
%A Yang, Yiran
%A Min, Jihong
%A Wang, Minqiang
%A Song, Yu
%A Yu, You
%A Xu, Changhao
%A Ye, Cui
%A William IsHak, Waguih
%A Gao, Wei
%T Investigation of cortisol dynamics in human sweat using a graphene-based wireless mHealth system
%D 2020
%U https://hdl.handle.net/20.500.14352/129974
%X 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.
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