协调数
方格
甲烷
烟气
格子(音乐)
SQL语言
材料科学
多孔性
选择性
晶体结构
结晶学
化学
化学工程
计算机科学
物理
离子
有机化学
复合材料
工程类
统计物理学
数据库
催化作用
伊辛模型
声学
作者
Kai‐Jie Chen,David G. Madden,Tony Pham,Katherine A. Forrest,Amrit Kumar,Qing‐Yuan Yang,Wei Xue,Brian Space,John J. Perry,Jie‐Peng Zhang,Xiao‐Ming Chen,Michael J. Zaworotko
标识
DOI:10.1002/anie.201603934
摘要
Abstract Porous materials capable of selectively capturing CO 2 from flue‐gases or natural gas are of interest in terms of rising atmospheric CO 2 levels and methane purification. Size‐exclusive sieving of CO 2 over CH 4 and N 2 has rarely been achieved. Herein we show that a crystal engineering approach to tuning of pore‐size in a coordination network, [Cu(quinoline‐5‐carboxyate) 2 ] n ( Qc‐5‐Cu ) ena+bles ultra‐high selectivity for CO 2 over N 2 (S CN ≈40 000) and CH 4 (S CM ≈3300). Qc‐5‐Cu‐sql‐β , a narrow pore polymorph of the square lattice ( sql ) coordination network Qc‐5‐Cu‐sql‐α, adsorbs CO 2 while excluding both CH 4 and N 2 . Experimental measurements and molecular modeling validate and explain the performance. Qc‐5‐Cu‐sql‐β is stable to moisture and its separation performance is unaffected by humidity.
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