High‐Performance Stretchable Ag/CNT/LCE Sensor with Anisotropic and Environmentally Adaptive Properties for Maxillo‐Facial Motion Monitoring
Abstract
ABSTRACT With the growing demand for advanced biophysical signal monitoring systems, the development of stretchable, adaptable, and functional flexible materials has become essential. Flexible sensors capable of detecting facial expressions, voice signals, and environmental stimuli show great potential in personalized healthcare, human–machine interfaces, and wearable electronics. Despite advancements, current flexible sensors face limitations such as low sensitivity to micro‐strains, insufficient anisotropy, and poor environmental adaptability, restricting their broader application. This study introduces a high‐performance stretchable sensor composed of carbon nanotube (CNT) and silver (Ag)‐based conductive inks integrated with a monodomain liquid crystal elastomer (LCE) substrate (Ag/CNT/LCE). The LCE substrate offers sensitive mir‐costrains detection intrinsic anisotropy, and thermal‐response capability. The conductive ink combines the mechanical robustness of CNTs with the excellent conductivity of Ag, suppressing CNT aggregation and improving electrical stability under strain. The Ag/CNT/LCE sensor exhibits a gauge factor of 3.93, rapid response times (120 ms), and exceptional cyclic durability over 2500 cycles. Additionally, its thermoresponsive behavior enhances adaptability to environmental changes. Demonstrated applications include facial emotion recognition, voice monitoring, and deformation‐based environmental sensing. By integrating multifunctionality, structural durability, and dynamic adaptability, the Ag/CNT/LCE sensor serves as a promising platform for wearable electronics, and next‐generation healthcare technologies.
Fields of Study & Subjects
Advanced Sensor and Energy Harvesting Materials
Nanomaterials and Printing Technologies
Advanced Materials and Mechanics
Publication details
- Journal / source
- Macromolecular Materials and Engineering
- Volume
- 311
- Issue
- 1
- Publication date
- 1 January 2026
- Language
- EN