Integrated layered structure-enabled high interfacial compatibility for sensitive, self-healing flexible conductive composites

Recently, the layered structure in flexible conductive composites has attracted widespread interest owing to its potential to resolve the conflict between conductivity and self-healing performance. However, the flexible conductive composites equipped with layered structure still face the challenges of long self-healing time, low conductivity, and poor interface compatibility. Herein, we propose a strategy to address the above issues through an integrated layered structure where the oxidized natural rubber latex (oNRL)/sodium alginate (SA)/carbon nanotubes self-healing layer mixture permeates and seamlessly adheres to the oNRL/SA/silver nanowires (Ag NWs) layer, creating an integrated layered structure. The CNT and Ag NWs endow composites with excellent photothermal conversion performance (170 °C at 0.55 W/cm<sup>2</sup>) and ultrahigh conductivity (862 S/m), respectively. Meanwhile, the composites have no interface problems since the self-healing layer and conductive layer bonded together to be an integral structure during film-formation. The resultant composites have acceptable tensile strength of 2 MPa and stretchability up to 429 %, and excellent photothermal self-healing performance. The conductivity of composites after damage can be restored to 90.3 % at an irradiation of 0.37 W/cm<sup>2</sup> for 3 min. The composites also have fascinating ultra-sensitivity (GF ≈ 184.8) and good reliability, which make it applicable to human motion detection.

Authors

Institutions

Publication Details

Journal
International Journal of Biological Macromolecules
Published
2025-09-22
DOI
https://doi.org/10.1016/j.ijbiomac.2025.147783
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated layered structure-enabled high interfacial compatibility for sensitive, self-healing flexible conductive composites

Junjie Lu, Bai Huang, Chuanhui Xu, Zehua He et al.
1 citations
International Journal of Biological Macromolecules
Advanced Sensor and Energy Harvesting Materials
0.67
article

Integrated layered structure-enabled high interfacial compatibility for sensitive, self-healing flexible conductive composites

Junjie Lu, Bai Huang, Chuanhui Xu, Zehua He, Lingli Kong
article en
1 citations

Abstract

Recently, the layered structure in flexible conductive composites has attracted widespread interest owing to its potential to resolve the conflict between conductivity and self-healing performance. However, the flexible conductive composites equipped with layered structure still face the challenges of long self-healing time, low conductivity, and poor interface compatibility. Herein, we propose a strategy to address the above issues through an integrated layered structure where the oxidized natural rubber latex (oNRL)/sodium alginate (SA)/carbon nanotubes self-healing layer mixture permeates and seamlessly adheres to the oNRL/SA/silver nanowires (Ag NWs) layer, creating an integrated layered structure. The CNT and Ag NWs endow composites with excellent photothermal conversion performance (170 °C at 0.55 W/cm<sup>2</sup>) and ultrahigh conductivity (862 S/m), respectively. Meanwhile, the composites have no interface problems since the self-healing layer and conductive layer bonded together to be an integral structure during film-formation. The resultant composites have acceptable tensile strength of 2 MPa and stretchability up to 429 %, and excellent photothermal self-healing performance. The conductivity of composites after damage can be restored to 90.3 % at an irradiation of 0.37 W/cm<sup>2</sup> for 3 min. The composites also have fascinating ultra-sensitivity (GF ≈ 184.8) and good reliability, which make it applicable to human motion detection.

International Journal of Biological MacromoleculesVol. 328(Pt 2)
Guangxi University (CN)
Openalex Percentile: Top 27%
Advanced Sensor and Energy Harvesting Materials
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.