Fabrication of strain-sensing fibers with silver nanoparticles and reduced graphene oxide via wet spinning

To advance the industrialization of flexible strain sensors, an innovative flexible sensing fiber was developed through a sophisticated wet spinning process. Silver trifluoroacetate and graphene oxide (GO) were combined with thermoplastic polyurethane (TPU) to prepare the fibers via wet spinning. Ascorbic acid was used to<i>in situ</i>reduce the silver trifluoroacetate and graphene oxide within the polyurethane, causing the growth of silver nanoparticles to bond with reduced graphene oxide, forming a dual conductive pathway. This resulted in the creation of silver nanoparticles/reduced graphene oxide/polyurethane fibers (AgNPs-rGO-TPU sensing fibers). The tensile and sensing properties of AgNPs-rGO-TPU sensing fibers under different parameters were investigated. The results showed that with 25 wt% TPU as the matrix, 30 wt% silver trifluoroacetate, and 1 wt% graphene oxide, the fibers achieved an optimal balance of mechanical and sensing properties. The tensile strength was 7.69 MPa, the elongation at break was 370.75%, and the toughness modulus was 18.45 MJ m<sup>-3</sup>. The AgNPs-rGO-TPU sensing fibers effectively detect external stimuli, exhibiting high sensitivity over a wide strain range (gauge factor is 4.25 below 5% strain, 24.79 in the 5%-25% strain range, 23.06 in the 25%-80% strain range, and 21.32 in the 80%-110% strain range), with a conductivity of 163.17 ms·cm<sup>-1</sup>. They can stably recognize movements and physiological signals from various parts of the human body, showing good application prospects.

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Publication Details

Journal
Nanotechnology
Published
2024-12-24
DOI
https://doi.org/10.1088/1361-6528/ada2f4
Citations
6
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.11

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article

Fabrication of strain-sensing fibers with silver nanoparticles and reduced graphene oxide via wet spinning

Wei Jiang, Xuepeng Zhang, Xiaoyuan Liu, Lifang Liu et al.
6 citations
Nanotechnology
Advanced Sensor and Energy Harvesting Materials
1.11
article

Fabrication of strain-sensing fibers with silver nanoparticles and reduced graphene oxide via wet spinning

Wei Jiang, Xuepeng Zhang, Xiaoyuan Liu, Lifang Liu, Ruochen Song, Junmei Li, Qiuyu Xu, Runan Pan
article en
6 citations

Abstract

To advance the industrialization of flexible strain sensors, an innovative flexible sensing fiber was developed through a sophisticated wet spinning process. Silver trifluoroacetate and graphene oxide (GO) were combined with thermoplastic polyurethane (TPU) to prepare the fibers via wet spinning. Ascorbic acid was used to<i>in situ</i>reduce the silver trifluoroacetate and graphene oxide within the polyurethane, causing the growth of silver nanoparticles to bond with reduced graphene oxide, forming a dual conductive pathway. This resulted in the creation of silver nanoparticles/reduced graphene oxide/polyurethane fibers (AgNPs-rGO-TPU sensing fibers). The tensile and sensing properties of AgNPs-rGO-TPU sensing fibers under different parameters were investigated. The results showed that with 25 wt% TPU as the matrix, 30 wt% silver trifluoroacetate, and 1 wt% graphene oxide, the fibers achieved an optimal balance of mechanical and sensing properties. The tensile strength was 7.69 MPa, the elongation at break was 370.75%, and the toughness modulus was 18.45 MJ m<sup>-3</sup>. The AgNPs-rGO-TPU sensing fibers effectively detect external stimuli, exhibiting high sensitivity over a wide strain range (gauge factor is 4.25 below 5% strain, 24.79 in the 5%-25% strain range, 23.06 in the 25%-80% strain range, and 21.32 in the 80%-110% strain range), with a conductivity of 163.17 ms·cm<sup>-1</sup>. They can stably recognize movements and physiological signals from various parts of the human body, showing good application prospects.

NanotechnologyVol. 36(10)
Donghua University (CN)
Taishan Industry Leading Talents, National Key Research and Development Program of China
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Advanced Sensor and Energy Harvesting Materials
1.11
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