Tannic Acid‐Enhanced PVA /Sodium Alginate Dual‐Network Hydrogel for Wearable Strain Sensors

ABSTRACT This work presents the design and fabrication of a conductive dual‐network hydrogel for flexible strain sensing applications. The hydrogel is constructed from two interpenetrating networks: the first formed by hydrogen‐bonded tannic acid (TA) and polyvinyl alcohol (PVA), and the second created via Ca 2+ ‐mediated ionic crosslinking of sodium alginate (SA). Structural characterization by SEM confirms the formation of an integrated dual‐network architecture, where abundant hydroxyl groups in TA synergistically interact with both the PVA network and SA chains, significantly enhancing mechanical toughness and strength. Notably, the resulting SA/PVA/TA hydrogel exhibits strong adhesion to diverse substrates—including iron, glass, plastic, and human skin (e.g., finger joints)—without the need for additional adhesives. Upon immersion in CaCl 2 solution, both tensile strength and electrical conductivity increase with crosslinking time. The hydrogel crosslinked for 30 min achieves a tensile strength of 0.234 MPa and an elongation at break of 126%. Real‐time resistance measurements during mechanical deformation demonstrate a stable and sensitive response to strain, confirming its suitability as a wearable strain sensor. This study thus introduces a simple yet effective strategy for developing adhesive, stretchable, and conductive hydrogels for next‐generation flexible electronics.

Authors

Institutions

Publication Details

Journal
Journal of Polymer Science
Published
2026-09-07
DOI
https://doi.org/10.1002/pola.70333
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Tannic Acid‐Enhanced PVA /Sodium Alginate Dual‐Network Hydrogel for Wearable Strain Sensors

Peng Zhang, Xuanjun Ning, Cheng Chen, Donghai Lin et al.
Journal of Polymer Science
Advanced Sensor and Energy Harvesting Materials
article

Tannic Acid‐Enhanced PVA /Sodium Alginate Dual‐Network Hydrogel for Wearable Strain Sensors

Peng Zhang, Xuanjun Ning, Cheng Chen, Donghai Lin, Shuwen Zhang, Lishi Zhang, Zhenjiang Tan, Yunyan Zhang, Wenwei Tang
article en

Abstract

ABSTRACT This work presents the design and fabrication of a conductive dual‐network hydrogel for flexible strain sensing applications. The hydrogel is constructed from two interpenetrating networks: the first formed by hydrogen‐bonded tannic acid (TA) and polyvinyl alcohol (PVA), and the second created via Ca 2+ ‐mediated ionic crosslinking of sodium alginate (SA). Structural characterization by SEM confirms the formation of an integrated dual‐network architecture, where abundant hydroxyl groups in TA synergistically interact with both the PVA network and SA chains, significantly enhancing mechanical toughness and strength. Notably, the resulting SA/PVA/TA hydrogel exhibits strong adhesion to diverse substrates—including iron, glass, plastic, and human skin (e.g., finger joints)—without the need for additional adhesives. Upon immersion in CaCl 2 solution, both tensile strength and electrical conductivity increase with crosslinking time. The hydrogel crosslinked for 30 min achieves a tensile strength of 0.234 MPa and an elongation at break of 126%. Real‐time resistance measurements during mechanical deformation demonstrate a stable and sensitive response to strain, confirming its suitability as a wearable strain sensor. This study thus introduces a simple yet effective strategy for developing adhesive, stretchable, and conductive hydrogels for next‐generation flexible electronics.

Journal of Polymer Science
Shanghai Polytechnic University (CN), Thermo Fisher Scientific (China) (CN)
Shanghai Polytechnic University
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
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.