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微介孔材料的孔结构分析表征
引用本文:贾双珠,吴林媛,陈炷霖,李长安.微介孔材料的孔结构分析表征[J].分析测试技术与仪器,2019,25(3):141-147.
作者姓名:贾双珠  吴林媛  陈炷霖  李长安
作者单位:黔南民族师范学院 化学化工学院,贵州 都匀,558000;贵州大学 化学与化工学院,贵州 贵阳,550003
基金项目:贵州省研究生科研基金(17915),贵州省科技计划项目(黔教合LH字[2017]7254号),黔南师院校级科研项目(qnsy2018013),贵州省黔南州科技计划项目(一流学科建设专项)(黔南科合(2018)08号)资助
摘    要:孔材料的研究是当今热点问题之一,而关于孔的结构特性如比表面积、孔容、孔尺寸及分布等相关参数的确定,对于一些研究者可能存在着认知盲区.以实验室自制的孔材料为例,应用Nova 1000e型比表面积测试仪进行相关测试,并采用不同方法获得材料的孔结构参数.试验结果表明,非定域密度泛函理论(NLDFT)和骤冷固体密度泛函理论(QSDFT)可获取较为全面的材料孔结构参数,分析过程简便快捷.

关 键 词:孔结构  非定域密度泛函理论  骤冷固体密度泛函理论
收稿时间:2019/4/19 0:00:00
修稿时间:2019/8/7 0:00:00

Analysis and Characterization of Pore Structure of Micro-mesoporous Materials
JIA Shuang-zhu,WU Lin-yuan,CHEN Zhu-lin and LI Chang-an.Analysis and Characterization of Pore Structure of Micro-mesoporous Materials[J].Analysis and Testing Technology and Instruments,2019,25(3):141-147.
Authors:JIA Shuang-zhu  WU Lin-yuan  CHEN Zhu-lin and LI Chang-an
Institution:College of Chemistry and Chemical Engineering, Qiannan Normal College, Duyun 558000, Guizhou China,College of Chemistry and Chemical Engineering, Guizhou University, Guiyang 550003, China,College of Chemistry and Chemical Engineering, Guizhou University, Guiyang 550003, China and College of Chemistry and Chemical Engineering, Qiannan Normal College, Duyun 558000, Guizhou China
Abstract:The study of porous materials is a hot topic nowadays. How to determine the porous structural characteristics such as specific surface area, pore volume, pore size, and its distribution, is probably, still an ambigous cognition for some researchers. The Nova 1000e specific surface area analyzer was used to analyze some porous materials prepared by our laboratory, and the porous structure parameters of materials were obtained by different methods. The results showed that the nonlocal density functional theory(NLDFT) and the quenched solid density functional theory(QSDFT) can be used to obtain more comprehensive parameters of the porous materials structure, and the analysis process was simple and fast.
Keywords:porous structure  NLDFT  QSDFT
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