• 文献标题:   Investigation of Cortisol Dynamics in Human Sweat Using a Graphene-Based Wireless mHealth System
  • 文献类型:   Article
  • 作  者:   TORRENTERODRIGUEZ RM, TU JB, YANG YR, MIN JH, WANG MQ, SONG Y, YU Y, XU CH, YE C, ISHAK WW, GAO W
  • 作者关键词:  
  • 出版物名称:   MATTER
  • ISSN:   2590-2393 EI 2590-2385
  • 通讯作者地址:   CALTECH
  • 被引频次:   18
  • DOI:   10.1016/j.matt.2020.01.021
  • 出版年:   2020

▎ 摘  要

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 sampling and to realize continuous, non-invasive, and real-time stress analysis at the molecular levels, we investigate the dynamics of a stress hormone, cortisol, in human sweat using an integrated wireless sensing device. Highly sensitive, selective, and efficient cortisol sensing is enabled by a flexible sensor array that exploits the exceptional performance of laser-induced graphene for electrochemical sensing. Here, we report the first cortisol diurnal cycle and the dynamic 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.