Flexible Strain Sensor With High Sensitivity Based on β‐Alanine‐Modified Epoxidized Natural Rubber Grafted Polypyrrole Conductive Composite

ABSTRACT Recent advancements have brought significant focus on wearable flexible strain sensors, primarily owing to their extensive applicability across various technological domains. Nonetheless, the development of flexible strain sensors with high sensitivity, high strength, and extensive strain range persists as a significant challenge in the field. In this study, polypyrrole (PPy) was uniformly coated on the surface of β‐alanine (Ala)‐modified epoxidized natural rubber (ENR) by in situ polymerization to prepare an A‐ENR‐g‐PPy composite with a core‐shell structure. The covalent bonding link between the polypyrrole and the epoxidized natural rubber helps to establish an effective conductive network within the epoxidized natural rubber matrix. As a result, the strain sensor has a fast response (153 ms) and excellent cycling stability (over 2000 cycles at 40% strain). The gauge factor (GF) is 5.4 for strain below 100%, reaching 6845.6 for strain above 550%. In addition, A‐ENR‐g‐PPy‐based flexible strain sensors can accurately monitor and differentiate between small and large body movements such as finger, wrist, elbow, and knee bending as well as mouth opening and blinking. This sensor shows great potential for applications in wearable flexible electronics.

Authors

Institutions

Publication Details

Journal
Polymer Engineering and Science
Published
2025-10-13
DOI
https://doi.org/10.1002/pen.70185
Primary Topic
Conducting polymers and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexible Strain Sensor With High Sensitivity Based on β‐Alanine‐Modified Epoxidized Natural Rubber Grafted Polypyrrole Conductive Composite

Xiaohui Tian, Jinyu Sun, Yizhong Yuan, Chunhua Cai et al.
Polymer Engineering and Science
Conducting polymers and applications
article

Flexible Strain Sensor With High Sensitivity Based on β‐Alanine‐Modified Epoxidized Natural Rubber Grafted Polypyrrole Conductive Composite

Xiaohui Tian, Jinyu Sun, Yizhong Yuan, Chunhua Cai, Ruimeng Lu, Huimei Yu, Yao Zhang
article en

Abstract

ABSTRACT Recent advancements have brought significant focus on wearable flexible strain sensors, primarily owing to their extensive applicability across various technological domains. Nonetheless, the development of flexible strain sensors with high sensitivity, high strength, and extensive strain range persists as a significant challenge in the field. In this study, polypyrrole (PPy) was uniformly coated on the surface of β‐alanine (Ala)‐modified epoxidized natural rubber (ENR) by in situ polymerization to prepare an A‐ENR‐g‐PPy composite with a core‐shell structure. The covalent bonding link between the polypyrrole and the epoxidized natural rubber helps to establish an effective conductive network within the epoxidized natural rubber matrix. As a result, the strain sensor has a fast response (153 ms) and excellent cycling stability (over 2000 cycles at 40% strain). The gauge factor (GF) is 5.4 for strain below 100%, reaching 6845.6 for strain above 550%. In addition, A‐ENR‐g‐PPy‐based flexible strain sensors can accurately monitor and differentiate between small and large body movements such as finger, wrist, elbow, and knee bending as well as mouth opening and blinking. This sensor shows great potential for applications in wearable flexible electronics.

Polymer Engineering and ScienceVol. 65(12)
East China University of Science and Technology (CN)
Openalex Percentile: Top 75%
Conducting polymers and applications
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.