高强度双网络结构木基复合凝胶的制备及性能
Preparation and performance of high-strength wood-based composite hydrogels with double network structures
王露臻 1钟丽 1游沐秋 1徐朝阳 1金永灿 2李大纲 1陈楚楚3
作者信息
- 1. 南京林业大学 材料科学与工程学院,南京 210037
- 2. 南京林业大学 轻工与食品学院,南京 210037
- 3. 南京林业大学 材料科学与工程学院,南京 210037;南京林业大学 轻工与食品学院,南京 210037
- 折叠
摘要
以木材为原料,通过脱基质处理获得木材纤维骨架,在其多孔结构中利用原位聚合法构建以聚乙烯醇(PVA)/聚丙烯酰胺(PAM)为双网络结构填充相的高强度木基复合凝胶.通过调控PVA及PAM在复合凝胶体系中的质量比,系统研究制备所得木基复合凝胶的宏/微观形貌、力学性能、光学性能及表面化学性能等变化规律.结果表明:在聚丙烯酰胺/木材纤维骨架中引入少量PVA,通过构建双网络结构,能够有效提升木基复合凝胶的力学性能,其最大拉伸强度可达16.47 MPa,断裂伸长率约为11.61%.将木基复合凝胶作为柔性基材组装构建传感器件,电导率为1.8 S/m,发现木基传感器在多种形变下均表现出稳定可重复的相对电流信号变化.
Abstract
The wood was used as raw material to obtain the wood skeleton by matrix-removal.And the high-strength wood-based composite hydrogels with PVA/PAM double network structure were constructed by in-situ polymerization.The change rules of macro/micro functional morphological characteristics,mechanical properties,optical properties and chemical composition of the wood-based composite hydrogels were systematically investigated by adjusting the mass ratio of PVA and PAM in the hydrogel system.The results show that introducing a small amount of PVA into the PAM/wood skeleton composite hydrogels and constructing a double network structure can effectively enhanced the mechanical properties of the wood-based composite hydrogels.As a result,the wood-based composite hydrogels show tensile properties with a maximum tensile strength and fracture elongation of 16.47 MPa and 11.61%.Furthermore,the wood-based composite hydrogel is used as a flexible substrate with a conductivity of 1.8 S/m to assemble and build sensor components.The results indicate that the flexible sensor exhibits stable and repeatable relative current signal changes under a variety of deformations.
关键词
木材/聚乙烯醇/聚丙烯酰胺/凝胶/力学性能/柔性传感器Key words
wood/polyvinyl alcohol/polyacrylamide/hydrogel/mechanical property/flexible wearable sen-sor引用本文复制引用
基金项目
国家自然科学基金(31901254)
第 14批中国博士后科学基金(2021T140329)
中国博士后科学基金(2020M671506)
江苏省博士后科研资助计划项目(2020Z027)
2023江苏省研究生科研与实践创新计划项目(KYCX23_1135)
出版年
2024
国家科技期刊平台
NSTL
万方数据