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Flexible Optoelectronic Hybrid Microfiber Long-period Grating Multimodal Sensor
Zhenru Li1, Li-Peng Sun1, Yanzhen Tan2
1Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, 510632, China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|March 8, 2025
Summary
This study introduces a novel hybrid optical fiber sensor for simultaneous glucose and biomechanical monitoring. This compact, wearable device integrates optical and electrical sensing for advanced diabetes management and wound healing applications.
Area of Science:
- Biomedical Engineering
- Materials Science
- Optoelectronics
Background:
- Flexible wearable biosensors are crucial for diabetes management, but miniaturization of multimodal sensors remains challenging.
- Integrating multiple sensing modalities into a single, compact device is essential for advanced diagnostics.
Purpose of the Study:
- To develop a novel optoelectronic hybrid multimodal optical fiber sensor.
- To enable simultaneous optical and electrical sensing for comprehensive physiological monitoring.
Main Methods:
- Fabrication of a sensor using laser-induced graphene (LIG) electrodes patterned on polydimethylsiloxane (PDMS) and a long period grating (LPG) microfiber.
- Integration of glucose oxidase into a conductive hydrogel for electrical glucose sensing.
- Encapsulation of LPG microfiber within PDMS, modulated by LIG electrode periodicity.
Main Results:
- The sensor successfully integrates optical (LPG) and electrical (LIG) sensing mechanisms in a compact form factor.
- Demonstrated simultaneous and independent operation of optical and electrical sensors.
- Validated functionality in real-time monitoring during wound healing in a rat model and human exercise.
Conclusions:
- The proposed optoelectronic hybrid sensor represents a significant advancement in multifunctional wearable biosensors.
- This platform enables simultaneous measurement of biomechanical information and glucose levels.
- The technology holds promise for improved diabetes management and personalized healthcare applications.

