摘要
以高浓度氧化石墨烯(GO)溶液作为反应前驱体,纳米纤维素(NC)作为物理间隔物和电解液储存器,通过简单的一步水热法制备了纳米纤维素/还原氧化石墨烯(NC/rGO)复合材料,并探究了其作为超级电容器电极材料的潜力。结果如下:NC添加量为1 mL所制备的NC/rGO-1具有最佳电化学性能。基于NC/rGO-1的无黏合剂对称型超级电容器在0.3 A·g^(-1)的电流密度下显示出了269.33 F·g^(-1)和350.13 F·cm^(-3)的高质量和体积比电容,并在10.0 A·g^(-1)时仍能达到215.88 F·g^(-1)和280.62 F·cm^(-3)(其初始值的80.15%)。组装器件还显示出了较高的质量和体积能量密度(9.3 Wh·kg^(-1)和12.13 Wh·L^(-1))和出色的循环性能(10 A·g^(-1)下10000次循环后其初始比电容仅减少6.02%)。
Nanocellulose/reduced graphene oxide(NC/rGO)composites were prepared by a simple one-step hydrothermal method using high-concentration graphene oxide(GO)solution as the reaction precursor and nanocellulose(NC)as the physical spacer and electrolyte reservoirs.Subsequently,we explored the potential of NC/rGO as electrode materials for supercapacitors.Due to its dense porous structure and large oxygen-containing functional group content,NC/rGO-1 prepared with 1 mL NC exhibited the best electrochemical performance.The binder-free symmetric supercapacitor based on NC/rGO-1 showed high gravimetric and volumetric specific capacitance of 269.33 F·g^(-1) and 350.13 F·cm^(-3) at a current density of 0.3 A·g^(-1).These values can still reach 215.88 F·g^(-1) and 280.62 F·cm^(-3) at 10.0 A·g^(-1)(80.15%of its initial value).The assembled device also displayed high gravimetric and volumetric energy densities(9.3 Wh·kg^(-1) and 12.13 Wh·L^(-1))and excellent cycling performance(the initial specific capacitance decreased by only 6.02%after 10000 cycles at 10 A·g^(-1)).
作者
魏良
王健恺
刘凯歌
周青云
潘昊鑫
樊姗
张永
WEI Liang;WANG Jian-Kai;LIU Kai-Ge;ZHOU Qing-Yun;PAN Hao-Xin;FAN Shan;ZHANG Yong(School of Materials Science and Engineering,Qiqihar University,Qiqihar,Heilongjiang 161006,China;Heilongjiang Province Key Laboratory of Polymeric Composition Material,Qiqihar,Heilongjiang 161006,China;School of Chemistry and Chemical Engineering,Qiqihar University,Qiqihar,Heilongjiang 161006,China)
出处
《无机化学学报》
SCIE
CAS
CSCD
北大核心
2023年第3期456-464,共9页
Chinese Journal of Inorganic Chemistry
基金
国家自然科学基金(No.52072191)
黑龙江省自然科学基金联合引导项目(No.LH_(2)020E126)
黑龙江省省属本科高校基本科研业务费青年项目(No.135509204)
齐齐哈尔大学研究生创新科研项目(No.YJSCX2020016)资助。