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oai:docta.ucm.es:20.500.14352/1299742026-01-14T01:18:32Zcom_20.500.14352_14col_20.500.14352_15

Investigation of cortisol dynamics in human sweat using a graphene-based wireless mHealth system Torrente Rodríguez, Rebeca Magnolia Tu, Jiaobing Yang, Yiran Min, Jihong Wang, Minqiang Song, Yu Yu, You Xu, Changhao Ye, Cui William IsHak, Waguih Gao, Wei 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. 2026-01-13T07:53:26Z 2026-01-13T07:53:26Z 2026-01-13T07:53:26Z 2020-04-01 journal article https://hdl.handle.net/20.500.14352/129974 XXXX-XXXX 10.1016/j.matt.2020.01.021 eng Carver Mead New Adventures Fund Caltech-City of Hope Biomedical Research Initiative National Institutes of Health/5R21NR018271 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) embargoed access Elsevier