Fully integrated microneedle biosensor array for wearable multiplexed fitness biomarkers monitoring
Fitness monitoring has become increasingly important in modern lifestyles; the current fitness monitoring always relies on physical sensors, making it challenging to detect pertinent issues at a deeper level when exercising. Here, we report a fully integrated wearable microneedle sensor that simultaneously measures fitness related biomarkers (e.g., glucose, lactate, and alcohol) during physical exercise. Such a sensor integrates a biocompatible 3D-printed microneedle array that can comfortably access skin interstitial fluid and a small circuit for signal processing and calibration, and wireless communication. The microneedle array features good biocompatibility and highly sensitive biochemical sensors that can detect even the slightest variations within the biomarkers of this fluid. On-body experimental results indicate that such a sensor can monitor fitness-related biomarkers across multiple subjects and support multi-day monitoring, with results showing a good correlation with commercial devices. The data was transmitted to a smartphone via Bluetooth and uploaded to cloud platforms for further health assessment. This study has the potential to boost intelligent wearable devices in sports health.
Authors
- Qiyu Wang (ORCID: https://orcid.org/0000-0003-4071-4246)
- Tailin Xu (ORCID: https://orcid.org/0000-0003-4037-2856)
- Geng Zhong (ORCID: https://orcid.org/0000-0001-5572-8355)
- Hanlin Li (ORCID: https://orcid.org/0009-0008-8276-793X)
- Qingzhou Liu (ORCID: https://orcid.org/0000-0001-8690-0824)
- H Z Qiu
Institutions
- Shenzhen University (CN)
- University Town of Shenzhen (CN)
- Shenzhen University Health Science Center (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Biosensors and Bioelectronics
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1016/j.bios.2024.116697
- Citations
- 43
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 7.93
Funders
- Shenzhen University