{"title":"计算辅助可穿戴系统持续监测皮质醇。","authors":"Ying Liu, Xiaoyu Su, Peidi Fan, Xin Liu, Yuxiang Pan, Jianfeng Ping","doi":"10.1016/j.scib.2025.03.060","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":" ","pages":""},"PeriodicalIF":18.8000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computationally-assisted wearable system for continuous cortisol monitoring.\",\"authors\":\"Ying Liu, Xiaoyu Su, Peidi Fan, Xin Liu, Yuxiang Pan, Jianfeng Ping\",\"doi\":\"10.1016/j.scib.2025.03.060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":421,\"journal\":{\"name\":\"Science Bulletin\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":18.8000,\"publicationDate\":\"2025-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Bulletin\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1016/j.scib.2025.03.060\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Bulletin","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1016/j.scib.2025.03.060","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
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.
期刊介绍:
Science Bulletin (Sci. Bull., formerly known as Chinese Science Bulletin) is a multidisciplinary academic journal supervised by the Chinese Academy of Sciences (CAS) and co-sponsored by the CAS and the National Natural Science Foundation of China (NSFC). Sci. Bull. is a semi-monthly international journal publishing high-caliber peer-reviewed research on a broad range of natural sciences and high-tech fields on the basis of its originality, scientific significance and whether it is of general interest. In addition, we are committed to serving the scientific community with immediate, authoritative news and valuable insights into upcoming trends around the globe.