Graphene‐Doped Hydrogels with Enhanced Conductivity and Stretchability for All‐Weather Wearable Devices
Abstract Conductive hydrogels with high water content, excellent adhesion, and mechanical flexibility have garnered significant attention for flexible and wearable electronic applications. Despite advancements, achieving hydrogels with robust electrical and mechanical properties under extreme environmental conditions remains a key challenge. In this study, a cost‐effective, lignin‐tannin nanosphere graphene‐doped hydrogel (LTGH) synthesized by dispersing graphene within the hydrogel matrix via self‐assembled sodium lignosulfonate and tannic acid nanospheres is presented. The LTGH exhibits exceptional electrical conductivity (28 S m −1 ), ultra‐high sensitivity (maximum gauge factor ≈350), and an ultra‐low detection limit (<0.5%). Additionally, it demonstrates outstanding stretchability (>1800%), strong adhesion (>50 kPa), UV resistance, and antibacterial properties. By incorporating ethylene glycol, the LTGH maintains reliable performance across a wide temperature range (−80 to 50 °C). Furthermore, the LTGH is successfully integrated into a convolutional neural network‐based sign language recognition system, achieving a compact and lightweight design with high recognition accuracy, rapid responsiveness, and cost efficiency. This work highlights the superior sensing capabilities of graphene‐doped conductive hydrogels, underscoring their potential in all‐weather wearable technologies.
Authors
- Le-Xing You (ORCID: https://orcid.org/0000-0002-3351-5284)
- Yi Wang (ORCID: https://orcid.org/0000-0003-2957-4203)
- Yutao Song
- Yangfeng Li (ORCID: https://orcid.org/0000-0002-4780-6154)
- Lei Liao (ORCID: https://orcid.org/0000-0003-1325-2410)
- An Gui
- Rong Yang (ORCID: https://orcid.org/0000-0003-2216-7584)
- Yixiao Li (ORCID: https://orcid.org/0009-0001-9140-9834)
- Tong Li (ORCID: https://orcid.org/0000-0003-3567-5908)
- Yajie Zhang (ORCID: https://orcid.org/0000-0001-7096-1040)
- Fang Zheng (ORCID: https://orcid.org/0009-0006-5210-4014)
Institutions
- Zhejiang Normal University (CN)
- National University of Singapore (SG)
- Hunan University (CN)
- Chinese Academy of Sciences (CN)
- Changsha University (CN)
- Suzhou Institute of Nano-tech and Nano-bionics (CN)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2025-02-19
- DOI
- https://doi.org/10.1002/adfm.202425014
- Citations
- 22
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 14.83
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China