材料科学
纳米纤维素
自愈水凝胶
傅里叶变换红外光谱
复合材料
化学工程
聚乙烯醇
弯曲
极限抗拉强度
纤维素
高分子化学
工程类
作者
Xinmin Huang,Xiaobin Tan,Cui Zhan-zhong,Jing Wang
标识
DOI:10.1080/10584587.2023.2227051
摘要
AbstractIn this paper, polyvinyl alcohol (PVA), nanocellulose crystals (CNC), glycerol, and aluminum chloride hexahydrate (AlCl3·6H2O) were used to prepare PVA-CNC ionic conductive hydrogels by a one-pot freeze-thaw method. The microscopic morphology and internal structure of the hydrogel were characterized by scanning electron microscopy (SEM) and Fourier transform infrared spec-troscopy (FTIR). The mechanical properties, electrical conductivity, and sensing properties of the hydrogel were tested by a universal material testing machine and LCR digital bridge, and the anti-freezing performance and water retention performance of the hydrogel were analyzed and compared. The results show that different concentrations of nanocellulose can significantly affect the mechanical strength of the hydrogel. When the content of CNC is 2%, the hydrogel has high tensile properties (elongation at break 384.29%) and firmness (up to 1.92 MPa). The open-circuit voltage of the hydrogel-based self-powered device can reach 0.815 V. In the bending sensing test, it was monitored that the resistance of the hydrogel changes rapidly at different bending angles, indicating that the hydrogel has good strain sensitivity. The addition of glycerol makes the hydrogel have high water retention rate, good mechanical properties and certain conductivity at −20 °C. The ionic conductive hydrogels prepared in this work have certain application potential in sensors, human-computer interaction, and flexible wearable devices.Keywords: Nanocellulose crystalsIonic conductive hydrogelsAnti-freezing performanceSensors Disclosure StatementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe authors gratefully acknowledge the financial support provided by the Graduate student scientific research innovation projects in Jiangsu province (Project Number: SJCX22-XY054); the Open Fund of Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province (JBGS026); the Industry-Academia-Research project of Jiangsu Province [grant number BY2022456].
科研通智能强力驱动
Strongly Powered by AbleSci AI