Skin-Interfaced Entirely Self-Contained Wearable Biosensor for the Noninvasive and Dynamic Monitoring of Sweat Myo-Inositol
Wearable sweat biosensors possess the unique capacity to noninvasively and continually track chemical biomarkers pertinent to health assessment and illness diagnoses. Personalized monitoring of myo-inositol is crucial in physiological function modulation and disease management. However, current methodologies heavily rely on intrusive blood draws/unwieldy analytical laboratory apparatus, hindering their implementation for daily and real-time monitoring. Here, we report a skin-interfaced entirely self-contained wearable sweat myo-inositol biosensor (ES-WSMB), which readily allows on-demand sweat extraction at rest via an iontophoresis unit, automated sweat sampling and renewal via an automated microfluidic unit, real-time myo-inositol analysis and calibration with simultaneously collected sweat pH and Na<sup>+</sup> via a sweat analysis unit, and signal processing/communication via an intelligent control unit. We tested the performance of ES-WSMB in healthy participants through the dose-response and metabolic-interference challenges. We identify a high correlation between sweat and plasma myo-inositol through the control experiments that are exquisitely designed. These distinctive features of ES-WSMB would facilitate precise and personalized health management in physiological functions, disease, and beyond.
Authors
- Wei Deng (ORCID: https://orcid.org/0000-0002-2318-0177)
- Ming Zhou (ORCID: https://orcid.org/0000-0003-2239-9342)
- Jing Bai (ORCID: https://orcid.org/0009-0001-2542-0795)
Institutions
- Northeast Normal University (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-06-03
- DOI
- https://doi.org/10.1021/acssensors.5c01284
- Citations
- 12
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 8.09
Funders
- National Natural Science Foundation of China
- Education Department of Jilin Province
- Higher Education Discipline Innovation Project