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.

了解和评估内分泌对压力的反应对于人类绩效分析，与压力相关的疾病诊断和心理健康监测至关重要。当前的压力监测方法主要基于调查表，这可能是非常主观的。为避免引起压力的采血并在分子水平上实现连续的，非侵入性的实时压力分析，我们使用集成的无线传感设备研究了汗液中压力激素，皮质醇的动力学。灵活的传感器阵列可实现高度灵敏，选择性和高效的皮质醇感测，该阵列利用激光诱导的石墨烯的出色性能进行电化学感测。在这里，我们报告了第一个皮质醇昼夜周期和由人类汗液构建的动态应力反应曲线。