Xu Min, Liu Zhangli, Huai Xiulan, Lou Lanting, Guo Jiangfeng
Institute of Engineering Thermophysics, Chinese Academy of Sciences Beijing 100190 China
University of Chinese Academy of Sciences Beijing 100049 China.
RSC Adv. 2020 Sep 18;10(57):34621-34631. doi: 10.1039/d0ra06363k. eCollection 2020 Sep 16.
It is of great importance to correlate the water adsorption performance of MOFs to their physicochemical features in order to design and prepare MOFs for applications in adsorption heat transformation. In this work, both data analysis from existing studies and Grand Canonical Monte Carlo molecular simulation investigations were carried out. The results indicated that the highest water adsorption capacity was determined by the pore volume of MOF adsorbents, while there was a linear correlation interrelationship between isosteric heats of adsorption and the water adsorption performance at a low relative pressure. More detailed analysis showed that the charge distribution framework and pore size of MOFs contributed together to the hydrophilicity. Electrostatic interaction between water molecules and the framework atoms played a key role at low relative water pressure. A quantitative structure-property relationship model that can correlate the hydrophilicity of MOFs to their pore size and atomic partial charge was established. Along with some qualitative considerations, the screening methodology is proposed and is used to screen proper MOFs in the CoRE database. Seven MOFs were detected, and four of them were synthesized to validate the screening principle. The results indicated that these four MOFs possessed outstanding water adsorption performance and could be considered as promising candidates in applications for adsorption heating and cooling.
为了设计和制备用于吸附式热转换应用的金属有机框架(MOF),将MOF的水吸附性能与其物理化学特征相关联具有极其重要的意义。在这项工作中,我们既进行了现有研究的数据分析,也开展了巨正则蒙特卡罗分子模拟研究。结果表明,MOF吸附剂的最高水吸附容量由其孔体积决定,而在低相对压力下,吸附等量热与水吸附性能之间存在线性相关关系。更详细的分析表明,MOF的电荷分布框架和孔径共同影响了亲水性。在低相对水压下,水分子与框架原子之间的静电相互作用起关键作用。建立了一个能将MOF的亲水性与其孔径和原子部分电荷相关联的定量结构-性质关系模型。结合一些定性考量,提出了筛选方法并用于在CORE数据库中筛选合适的MOF。检测到七种MOF,并合成了其中四种以验证筛选原则。结果表明,这四种MOF具有出色的水吸附性能,可被视为吸附式加热和冷却应用中的有前途候选材料。