Bioinspired Directional Hydrogel‐Based High‐Performance Flexible Sensor for Multiple Jumping Pattern Detection in Athletic Training

Conductive hydrogels have garnered significant attention as ideal materials for flexible wearable sensors due to their conductivity, flexibility, adaptability, and biocompatibility. However, traditional conductive hydrogels frequently exhibit poor moisture retention and suboptimal mechanical properties, which greatly limit their practical usability. Inspired by the anisotropic structure of biological tissues and the natural moisturizing factors in skin, a novel bioinspired directional hydrogel (BDH) system is presented, using polyvinyl alcohol as the matrix, incorporating polydopamine-modified carbon nanotubes and PEDOT-PSS as conductive materials, and sodium pyrrolidone carboxylic acid for moisture retention. The precursor solution containing disordered polymer chains undergoes flow-induced alignment, followed by strong aggregation and crystallization driven by a kosmotropic salt solution. This dual-stage process ultimately yields the BDH with pronounced structural anisotropy, characterized by tightly packed, aligned polymer domains. The obtained hydrogel exhibits excellent mechanical strength, damage tolerance, good conductivity, and moisture retention, making it suitable as a flexible sensor for high-load stress conditions. When combined with machine learning algorithms, BDHs enable accurate motion tracking and intent recognition, showing promising applications in motor training and ability assessment. This efficient, energy-saving fabrication method offers a promising strategy for developing bioinspired structural hydrogels, facilitating their practical use in human-machine interactions.

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Publication Details

Journal
Advanced Science
Published
2025-10-20
DOI
https://doi.org/10.1002/advs.202515261
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Bioinspired Directional Hydrogel‐Based High‐Performance Flexible Sensor for Multiple Jumping Pattern Detection in Athletic Training

Zhehao Han, Youhui Lin, Hanyi Zhang, Yan Hu et al.
Advanced Science
Advanced Sensor and Energy Harvesting Materials
article

Bioinspired Directional Hydrogel‐Based High‐Performance Flexible Sensor for Multiple Jumping Pattern Detection in Athletic Training

Zhehao Han, Youhui Lin, Hanyi Zhang, Yan Hu, Deshuai Yu, Qinglu Luo, Sen Wang, Hanqi Wang, Da Lin, Tianqi Fu, Yirong Jiang, Jia Yi
article en

Abstract

Conductive hydrogels have garnered significant attention as ideal materials for flexible wearable sensors due to their conductivity, flexibility, adaptability, and biocompatibility. However, traditional conductive hydrogels frequently exhibit poor moisture retention and suboptimal mechanical properties, which greatly limit their practical usability. Inspired by the anisotropic structure of biological tissues and the natural moisturizing factors in skin, a novel bioinspired directional hydrogel (BDH) system is presented, using polyvinyl alcohol as the matrix, incorporating polydopamine-modified carbon nanotubes and PEDOT-PSS as conductive materials, and sodium pyrrolidone carboxylic acid for moisture retention. The precursor solution containing disordered polymer chains undergoes flow-induced alignment, followed by strong aggregation and crystallization driven by a kosmotropic salt solution. This dual-stage process ultimately yields the BDH with pronounced structural anisotropy, characterized by tightly packed, aligned polymer domains. The obtained hydrogel exhibits excellent mechanical strength, damage tolerance, good conductivity, and moisture retention, making it suitable as a flexible sensor for high-load stress conditions. When combined with machine learning algorithms, BDHs enable accurate motion tracking and intent recognition, showing promising applications in motor training and ability assessment. This efficient, energy-saving fabrication method offers a promising strategy for developing bioinspired structural hydrogels, facilitating their practical use in human-machine interactions.

Advanced ScienceVol. 13(1)
Xiamen University (CN), Wenzhou Medical University (CN), Dongguan University of Technology (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Dongguan People’s Hospital (CN), Centre of Excellence for Advanced Materials (CN)
Salt Science Research Foundation, National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Wenzhou Municipal Science and Technology Bureau, Higher Education Discipline Innovation Project, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 71%
Advanced Sensor and Energy Harvesting Materials
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