Sweat‐powered, skin‐adhesive multimodal sensor for long‐term and real‐time sweat monitoring
Abstract The importance of continuous healthcare management has significantly accelerated the development of wearable devices for monitoring health‐related physical and biochemical markers. Despite extensive research on wearable devices for physiological and biochemical monitoring, critical issues of power management and device/skin interfacial properties restrict the advancement of personalized healthcare and early disease detection. Here, we report a multimodal sweat monitoring device featuring a real‐time display and long‐term data analysis based on self‐powered format of sweat‐activated batteries (SABs). The polyvinyl alcohol‐sucrose (PVA‐Suc) hydrogel serves as the key component for the SAB, offering not only great long‐term adhesive properties for conformable wearability but also significant power generation capabilities. A maximum current density of 44.06 mA cm −2 and a maximum power density of 21.89 mW cm −2 can be realized for the hydrogel based SAB. The resulting device integrates an advanced colorimetric and electrochemical sensor array to measure pH levels, glucose concentrations, and chloride ion levels in human sweat, with data wirelessly transmitted by Near Field Communication. The self‐powering features and multiple mode sensing function offer sufficient power to support real‐time monitoring of metabolic biomarkers in sweat, with the ability to visually observe changes in the colorimetric sensors for long‐term data monitoring.
Authors
- Xinge Yu (ORCID: https://orcid.org/0000-0003-0522-1171)
- Chun Ki Yiu (ORCID: https://orcid.org/0000-0003-3841-5327)
- Zitong Xu (ORCID: https://orcid.org/0000-0002-0090-9017)
- Jingkun Zhou (ORCID: https://orcid.org/0000-0001-5394-4388)
- Xingcan Huang (ORCID: https://orcid.org/0000-0003-4210-2470)
- Lung Chow (ORCID: https://orcid.org/0000-0001-5670-1031)
- Rui Shi (ORCID: https://orcid.org/0000-0002-4221-0239)
- Ya Huang (ORCID: https://orcid.org/0000-0002-0965-8226)
- Zhenlin Chen (ORCID: https://orcid.org/0000-0003-2100-1363)
- Yawen Yang
- Yuyu Gao (ORCID: https://orcid.org/0000-0002-2000-5410)
- Yiming Liu (ORCID: https://orcid.org/0000-0002-9698-3691)
- Zhan Gao (ORCID: https://orcid.org/0000-0002-8465-4292)
- Qiang Zhang (ORCID: https://orcid.org/0000-0002-2707-0258)
- Jian H. Li (ORCID: https://orcid.org/0000-0003-0376-0702)
- Jiachen Wang (ORCID: https://orcid.org/0000-0001-5526-6816)
- Binbin Zhang (ORCID: https://orcid.org/0000-0001-8796-2592)
- Pengcheng Wu (ORCID: https://orcid.org/0000-0002-7990-4234)
- Guoqiang Xu (ORCID: https://orcid.org/0000-0002-1960-5312)
- Guangyao Zhao (ORCID: https://orcid.org/0000-0002-5664-4898)
- Yuyang Zeng (ORCID: https://orcid.org/0000-0003-4048-5199)
- Hehua Zhang (ORCID: https://orcid.org/0000-0002-9383-1334)
- Xinxin He (ORCID: https://orcid.org/0000-0003-2965-4094)
- Jialin Li (ORCID: https://orcid.org/0000-0003-4972-3480)
- Yuze Qiu
- D. Ye
- Zhiyuan Li
Institutions
- City University of Hong Kong (HK)
- City University of Hong Kong, Shenzhen Research Institute (CN)
Publication Details
- Journal
- BMEMat
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1002/bmm2.12124
- Citations
- 13
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 2.40
Funders
- City University of Hong Kong
- National Natural Science Foundation of China
- Research Grants Council, University Grants Committee