Journal article
Ultra-Elastic, Transparent, and Conductive Gelatin/Alginate-Based Bioadhesive Hydrogel for Enhanced Human-Machine Interactive Applications
Biomacromolecules, v 26(7), pp 4436-4448
14 Jul 2025
PMID: 40569129
Abstract
Growing interest has focused on next-generation flexible adhesive sensors (FAS) integrated with deep learning for intelligent electronics. Existing conductive hydrogels, however, fail to concurrently achieve high stretchability, transparency, robust adhesion, and interactive precision. Here, a novel class of high-performance ionic hydrogels (AGG-M
hydrogels, with M
being Cu
, Zn
, Fe
, and Zr
) that synergistically combines the above features is developed. The hydrogel is fabricated by incorporating aldehyde-modified sodium alginate (Ald-alginate), gelatin methacrylate (GelMA), and glycerol into the poly(acrylic acid) network through free-radical polymerization plus an ionic coordination strategy. This endows the hydrogel with remarkable properties required for FAS applications, including excellent stretchability (1038%), optimal ionic conductivity (3.25 S/m), and high sensitivity (gauge factor = 1.932, 0%-600% strain range), accompanied by reliable long-term stability over 300 cycles. We also demonstrated its efficiency through the real-time monitoring of diverse physiological signals. Furthermore, the hydrogel was integrated with a deep learning algorithm into a wearable electronic control system, which can instantaneously recognize a diverse array of complex gestures with up to 99.4% accuracy. This work provides new insights for the future development of multifunctional hydrogels, wearable electronics, and human-machine interactions.
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Details
- Title
- Ultra-Elastic, Transparent, and Conductive Gelatin/Alginate-Based Bioadhesive Hydrogel for Enhanced Human-Machine Interactive Applications
- Creators
- Shiqiang Zhang - Zhengzhou UniversityJingjing Xia - Tsinghua UniversityJiyu Chen - Zhengzhou UniversityLei Chen - Sun Yat-sen UniversityJingjiang Qiu - Zhengzhou UniversityZhongwei Guo (Corresponding Author) - Zhengzhou UniversityRonghan Wei - Zhengzhou UniversityWei Sun - Drexel University
- Publication Details
- Biomacromolecules, v 26(7), pp 4436-4448
- Publisher
- ACS Publications
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:001518012100001
- Scopus ID
- 2-s2.0-105009731923
- Other Identifier
- 991022197401904721