Tannic acid modified hemicellulose nanoparticle reinforced ionic hydrogels with multi-functions for human motion strain sensor applications

半纤维素 单宁酸 自愈水凝胶 化学 纳米颗粒 化学工程 离子键合 木质素 材料科学 纤维素 高分子化学 纳米技术 有机化学 工程类 离子
作者
Xiaoqi Gong,Chenglong Fu,Nur Alam,Yonghao Ni,Lihui Chen,Liulian Huang,Hui‐Chao Hu
出处
期刊:Industrial Crops and Products [Elsevier BV]
卷期号:176: 114412-114412 被引量:30
标识
DOI:10.1016/j.indcrop.2021.114412
摘要

Recently, biomass-derived materials, such as cellulose and lignin have gained popularity in the development of value-added products, such as hydrogel-based sensors. In fact, many studies have been reported on the inclusion of cellulose or lignin or their derived products for the preparation of hydrogels and their sensing applications, hemicelluloses-based hydrogels and their sensing applications are rare. In this study, we used a hemicellulose sample extracted from a bleached bamboo kraft pulp, to prepare hemicellulose nanoparticles (HC nanoparticles), then modified the HC nanoparticles with tannic acid to form tannic acid modified hemicellulose nanoparticles ([email protected]). Subsequently, the [email protected] nanoparticles were applied as nanofillers in the fabrication of ionic [email protected]3+ hydrogels. The hydrogel integrates covalent PAA bonds with multiple non-covalent coordination bridging. [email protected] nanofillers, which have catechol-rich tannic acids on the surface, act as strength enhancers and dynamic link bridges, as well as imparting self-healing/adhesive properties to the ionic hydrogel. The resultant [email protected]3+ ionic hydrogel exhibits high stretchability (1060%), toughness (as high as 1.52 MJ/m3) and self-recovery (as high as 87%). In addition, the use of [email protected] nanofillers allows the hydrogel to have reproducible self-adhesion to various materials, furthermore, the ionic hydrogel has excellent anti-ultraviolet, anti-oxidative and antibacterial properties. When applied as a wearable strain sensor, the as-fabricated ionic hydrogel has a high strain sensitivity (GF=8.34), and it can accurately monitor and distinguish between large movements and micro movements, even weak pulse and breathing.
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