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Updated: Aug 27, 2025
08:50
Fabrication and Characterization of a Conformal Skin-like Electronic System for Quantitative, Cutaneous Wound Management
Published on: September 2, 2015
8.9K
Surface Wettability for Skin-Interfaced Sensors and Devices
Xiufeng Wang1, Yangchengyi Liu1, Huanyu Cheng2
1School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
Advanced Functional Materials
|September 30, 2022
Summary
Designing surface wettability is key for skin-interfaced sensors and self-powered devices. This approach enhances performance and integrity in hydrated conditions, enabling better health monitoring.
Area of Science:
- Materials Science
- Biomedical Engineering
- Surface Chemistry
Background:
- Skin-interfaced sensors require robust design for reliable performance in hydrated environments.
- Bodily fluids present challenges but also offer opportunities for health information and energy harvesting.
Purpose of the Study:
- To review strategies for engineering surface wettability in skin-interfaced devices.
- To explore how surface wettability impacts sensor performance and self-powered systems.
- To discuss future opportunities in digital health and personalized medicine.
Main Methods:
- Review of bio-inspired strategies for tuning surface wettability.
- Analysis of liquid behavior control on device surfaces.
- Examination of wettability effects on sensor and energy harvester performance.
Main Results:
- Engineered surface wettability is critical for device integrity and sensing performance under hydration.
- Surface wettability design enables effective biomarker analysis and enhanced energy harvesting.
- Tailored wettability minimizes adverse effects from bodily fluids and humidity.
Conclusions:
- Rational design of surface wettability is essential for advanced skin-interfaced sensors and self-powered devices.
- Optimized wettability unlocks potential for continuous health monitoring and personalized medicine.
- Future developments in surface engineering promise novel applications in digital health.
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