Computationally-assisted wearable system for continuous cortisol monitoring

Continuous cortisol monitoring (CCM) is essential for stress management, providing physiological insights into psychology and physical health. However, promising platform for CCM urges the design of effective biorecognition moieties and the skin integration of sophisticated functions. Herein, we present a computationally-assisted wearable system for CCM (CWSCCM) that leverages cutting-edge interdisciplinary technologies of in-situ regenerative molecularly imprinted polymers (MIP), signal amplifier organic electrochemical transistor (OECT), iontophoresis-based sweat induction, and microfluidic sweat sampling. The highly integrated system incorporated with OECT biosensor enables in-situ MIP regeneration, and offers continuous approach for cortisol monitoring, with an ultra-low limit of detection of 0.36 nmol/L. We validated the capability of the CWSCCM for long-term cortisol circadian rhythm monitoring in human participants, which shows superior sensitivity, selectivity, and continuous monitoring capabilities. In conclusion, we demonstrated how computational chemistry and OECT technology can extend the capabilities of current wearable CCM, which could potentially advance closed-loop therapeutics applications.

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Publication Details

Journal
Science Bulletin
Published
2025-04-17
DOI
https://doi.org/10.1016/j.scib.2025.03.060
Citations
17
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
11.46
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article

Computationally-assisted wearable system for continuous cortisol monitoring

Yuxiang Pan, Jianfeng Ping, Peidi Fan, Xiaoyu Su et al.
17 citations
Science Bulletin
Advanced Sensor and Energy Harvesting Materials
11.46
article

Computationally-assisted wearable system for continuous cortisol monitoring

Yuxiang Pan, Jianfeng Ping, Peidi Fan, Xiaoyu Su, Xin Liu, Ying Liu
article en
17 citations

Abstract

Continuous cortisol monitoring (CCM) is essential for stress management, providing physiological insights into psychology and physical health. However, promising platform for CCM urges the design of effective biorecognition moieties and the skin integration of sophisticated functions. Herein, we present a computationally-assisted wearable system for CCM (CWSCCM) that leverages cutting-edge interdisciplinary technologies of in-situ regenerative molecularly imprinted polymers (MIP), signal amplifier organic electrochemical transistor (OECT), iontophoresis-based sweat induction, and microfluidic sweat sampling. The highly integrated system incorporated with OECT biosensor enables in-situ MIP regeneration, and offers continuous approach for cortisol monitoring, with an ultra-low limit of detection of 0.36 nmol/L. We validated the capability of the CWSCCM for long-term cortisol circadian rhythm monitoring in human participants, which shows superior sensitivity, selectivity, and continuous monitoring capabilities. In conclusion, we demonstrated how computational chemistry and OECT technology can extend the capabilities of current wearable CCM, which could potentially advance closed-loop therapeutics applications.

Science BulletinVol. 70(12)
Zhejiang Lab (CN), Zhejiang University of Technology (CN), Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
11.46
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Computationally-assisted wearable system for continuous cortisol monitoring — Yuxiang Pan, Jianfeng Ping, et al. · Science Bulletin (2025) | TGRS Research Map | TGRS