Cellulose-reinforced natural rubber microfibers with low mechanical hysteresis for wireless physiological monitoring

Unprecedented demand for wearable electronics has stimulated the development of highly elastic strain sensors that monitor human motion. This study presents a highly stretchable, lightweight, and wearable strain sensor composed of natural rubber (NR) and cellulose nanofibers (CNF). It addresses the challenge of developing highly sensitive sensors with good linearity and low hysteresis for wireless physiological monitoring. By incorporating CNF as a reinforcing agent along with carbon nanotubes and PEDOT:PSS for conductivity, we have achieved significant improvements in sensor performance. The optimized wearable device exhibited an increase in fracture stress while maintaining high stretchability (over 600 %) with minimal hysteresis loss (approximately 2.7 % at 100 % strain), low response time (approximately 43 ms), and good mechanical durability. Furthermore, an integrated system based on the device was assembled to detect real-time fine wireless physiological signals generated from human motions, including walking, joint movements, and subtle finger bending. The ability of the system to wirelessly transmit data in real time enhances its potential for continuous health monitoring and human-machine interfaces as next-generation smart wearable electronics. • The microfluidic method was employed to prepare cellulose nanofiber-reinforced natural rubber microfibers. • Significant improvement in mechanical properties with low hysteresis (2.7 % at 100 % strain). • Highly stretchable (>600 %) elastic strain sensor with fast response time (∼43 ms). • Wireless physiological monitoring system for real-time human motion detection.

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Publication Details

Journal
Polymer Testing
Published
2025-03-29
DOI
https://doi.org/10.1016/j.polymertesting.2025.108781
Citations
6
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
4.04
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article

Cellulose-reinforced natural rubber microfibers with low mechanical hysteresis for wireless physiological monitoring

Epsita Kar, Arti Singh, Jinhwan Yoon, B. P. Kang
6 citations
Polymer Testing
Advanced Sensor and Energy Harvesting Materials
4.04
article

Cellulose-reinforced natural rubber microfibers with low mechanical hysteresis for wireless physiological monitoring

Epsita Kar, Arti Singh, Jinhwan Yoon, B. P. Kang
article en
6 citations

Abstract

Unprecedented demand for wearable electronics has stimulated the development of highly elastic strain sensors that monitor human motion. This study presents a highly stretchable, lightweight, and wearable strain sensor composed of natural rubber (NR) and cellulose nanofibers (CNF). It addresses the challenge of developing highly sensitive sensors with good linearity and low hysteresis for wireless physiological monitoring. By incorporating CNF as a reinforcing agent along with carbon nanotubes and PEDOT:PSS for conductivity, we have achieved significant improvements in sensor performance. The optimized wearable device exhibited an increase in fracture stress while maintaining high stretchability (over 600 %) with minimal hysteresis loss (approximately 2.7 % at 100 % strain), low response time (approximately 43 ms), and good mechanical durability. Furthermore, an integrated system based on the device was assembled to detect real-time fine wireless physiological signals generated from human motions, including walking, joint movements, and subtle finger bending. The ability of the system to wirelessly transmit data in real time enhances its potential for continuous health monitoring and human-machine interfaces as next-generation smart wearable electronics. • The microfluidic method was employed to prepare cellulose nanofiber-reinforced natural rubber microfibers. • Significant improvement in mechanical properties with low hysteresis (2.7 % at 100 % strain). • Highly stretchable (>600 %) elastic strain sensor with fast response time (∼43 ms). • Wireless physiological monitoring system for real-time human motion detection.

Polymer TestingVol. 146
University of Seoul (KR), National Council Of Educational Research And Training (IN), Pusan National University (KR)
Openalex Percentile: Top 7%
Advanced Sensor and Energy Harvesting Materials
4.04
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