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Highly Aligned Bacteria Cellulose Yarn Aggregation for Energy Generation and Strain Sensing
Chong Gao1,2, Duo Xu2, Hui Sun1
1College of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, P. R. China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|March 19, 2026
Summary
Researchers developed a novel bio-fabrication strategy for self-powered, stretchable bacterial cellulose (BC) sensors. This innovative yarn design enables continuous health monitoring through integrated energy harvesting and sensing capabilities.
Area of Science:
- Materials Science
- Biotechnology
- Wearable Electronics
Background:
- Bacterial cellulose (BC) offers sustainable and functional material properties for wearable electronics.
- Fabricating self-powered, highly mechanosensitive stretchable BC sensors is challenging due to interface and conductivity issues.
Purpose of the Study:
- To develop an innovative bio-fabrication strategy for creating high-performance, multi-functional bio-based sensors.
- To integrate strain sensing and energy self-sufficiency in a single wearable device.
Main Methods:
- A bio-fabrication strategy inspired by biological spiral construction was employed to create a core-sheath yarn.
- The yarn integrates triboelectric and resistive responses, featuring an ordered network and mechanosensitive twisting structures.
- Scalable self-powered fabrics were developed for energy generation and storage to power the sensing system.
Main Results:
- The yarn sensor demonstrated a sensitive mechanosensitive response (8.246) and a wide strain range (up to 100%).
- High voltage signals exceeding 50 V were achieved, indicating efficient energy harvesting.
- The developed fabrics enabled continuous health monitoring through self-powered operation.
Conclusions:
- The novel core-sheath yarn design effectively combines strain sensing and energy self-sufficiency.
- This bio-manufacturing approach paves the way for advanced, multi-functional bio-based wearable sensors.
- The integrated system supports continuous health monitoring via self-powered wearable fabrics.

