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

00925njm 22002777a 4500 dc Torrente Rodríguez, Rebeca Magnolia author Tu, Jiaobing author Yang, Yiran author Min, Jihong author Wang, Minqiang author Song, Yu author Yu, You author Xu, Changhao author Ye, Cui author William IsHak, Waguih author Gao, Wei author 2020-04-01 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. 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) 10.1016/j.matt.2020.01.021 https://hdl.handle.net/20.500.14352/129974 https://doi.org/10.1016/j.matt.2020.01.021 https://www.sciencedirect.com/science/article/pii/S2590238520300217 Investigation of cortisol dynamics in human sweat using a graphene-based wireless mHealth system