化学
三元运算
吸附
模块化设计
芳香烃
碳氢化合物
芳香性
多孔性
甲苯
选择性
多孔介质
戒指(化学)
有机化学
化学工程
多环芳烃
计算化学
分离(统计)
蒙特卡罗方法
芳香族氨基酸
分子
理想(伦理)
组合化学
分子动力学
碳氢化合物混合物
作者
Jiayao Liu,Yang Li-qiu,Chen-Chen Xing,Zhang‐Lei Zhong,Wei Lv,Jing Ma,Quan‐Guo Zhai
标识
DOI:10.1021/acs.inorgchem.6c04893
摘要
Abstract Light saturated hydrocarbons are difficult to separate efficiently because of their similar physicochemical properties, and metal–organic frameworks (MOFs) with tailor-made pore environments promising adsorbents for precise separation. Here, three aromatic ring-enhanced pore-space-partitioned MOFs (SNNU-304–306) were constructed by integrating thieno[2,3-b]thiophene-2,5-dicarboxylic acid (TDC) with tripyridyl partitioners of different aromatic frameworks and N-site characteristics. Modular variation of the partitioners within the same Ni-TDC framework tunes the cage geometry and local aromatic environment, enabling differentiated recognition of C1–C3 hydrocarbons. SNNU-306 exhibits the highest C2H6 and C3H8 uptakes, with C2H6/CH4 and C3H8/CH4 ideal adsorbed solution theory (IAST) selectivities of 34.1 and 1398.6 at 298 K. More importantly, dynamic breakthrough experiments show that SNNU-304 gives the longest separation time for C2H6/CH4, while SNNU-306 exhibits the longest separation time for C3H8/CH4, demonstrating the targeted regulation of different saturated-hydrocarbon separation requirements by different aromatic partitioners. For the ternary C3H8/C2H6/CH4 mixture, the CH4 purity reaches up to 99.96%. Grand Canonical Monte Carlo (GCMC) simulations reveal that different aromatic partitioners regulate host–guest interactions, thereby enabling differentiated hydrocarbon recognition. These results show that aromatic ring enhancement and pore-space partitioning synergistically transform pacs-MOFs into modularly tunable molecular-recognition systems, offering a strategy for the task-specific design of porous materials for saturated-hydrocarbon separation.
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