Abstract

Highlights

An all-wood hydrogel was synthesized via a simply Hofmeister effect without the use of any chemical cross-linking agent.

The all-wood hydrogel shows a high tensile strength of 36.5 MPa, a strain up to ~ 438%, and good conductivity, and can accurately distinguish diverse large or subtle human movements.

The all-wood hydrogel has good recyclable, biodegradable, and adjustable mechanical properties.

Wood-based hydrogel with a unique anisotropic structure is an attractive soft material, but the presence of rigid crystalline cellulose in natural wood makes the hydrogel less flexible. In this study, an all-wood hydrogel was constructed by cross-linking cellulose fibers, polyvinyl alcohol (PVA) chains, and lignin molecules through the Hofmeister effect. The all-wood hydrogel shows a high tensile strength of 36.5 MPa and a strain up to ~ 438% in the longitudinal direction, which is much higher than its tensile strength (~ 2.6 MPa) and strain (~ 198%) in the radial direction, respectively. The high mechanical strength of all-wood hydrogels is mainly attributed to the strong hydrogen bonding, physical entanglement, and van der Waals forces between lignin molecules, cellulose nanofibers, and PVA chains. Thanks to its excellent flexibility, good conductivity, and sensitivity, the all-wood hydrogel can accurately distinguish diverse macroscale or subtle human movements, including finger flexion, pulse, and swallowing behavior. In particular, when “An Qi” was called four times within 15 s, two variations of the pronunciation could be identified. With recyclable, biodegradable, and adjustable mechanical properties, the all-wood hydrogel is a multifunctional soft material with promising applications, such as human motion monitoring, tissue engineering, and robotics materials.

Details

Title
Highly Flexible and Broad-Range Mechanically Tunable All-Wood Hydrogels with Nanoscale Channels via the Hofmeister Effect for Human Motion Monitoring
Author
Yan, Guihua 1 ; He Shuaiming 2 ; Chen Gaofeng 1 ; Sen, Ma 1 ; Zeng Anqi 1 ; Chen, Binglin 1 ; Yang, Shuliang 1 ; Tang, Xing 1 ; Sun, Yong 1 ; Xu, Feng 3 ; Lu, Lin 1 ; Zeng Xianhai 1 

 Xiamen University, College of Energy, Xiamen, People’s Republic of China (GRID:grid.12955.3a) (ISNI:0000 0001 2264 7233) 
 South China University of Technology, State Key Laboratory of Pulp and Paper-Making Engineering, Guangzhou, People’s Republic of China (GRID:grid.79703.3a) (ISNI:0000 0004 1764 3838) 
 Beijing Forestry University, Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing, People’s Republic of China (GRID:grid.66741.32) (ISNI:0000 0001 1456 856X) 
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
ISSN
23116706
e-ISSN
21505551
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2644596449
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.