典型文献
Microporous Zinc Formate for Efficient Separation of Acetylene over Carbon Dioxide
文献摘要：
Separation of acetylene(C2H2) from carbon dioxide(CO2) by adsorbents is very challenging owing to their high similarity on molecular shape and dimension.Exploring inexpensive and easily available porous materials is of importance to facilitate the practical implementation of the challenging but energy-efficient separation.Herein,we utilize an easily available porous material[Zn3(HCOO)6]for the selective separation of C2H2 over CO2.Because of the pore confinement in[Zn3(HCOO)6](pore size of 0.47 nm) and accessible oxygen sites for preferential binding of C2H2,this material exhibits high low-pressure uptake for C2H2(63 cm3/cm3 at 10 kPa and 298 K) and high C2H2/CO2 selectivity(7.4 under ambient conditions)that is comparable to those of out-performing porous materials.The efficient separation of[Zn3(HCOO)6]for C2H2/CO2 mixture has also been confirmed by the breakthrough experiments.
文献关键词：
中图分类号：
作者姓名：
LI Jing-Hong;XIE Yi;ZHOU Mu-Yang;LIN Rui-Biao;CHEN Xiao-Ming
作者机构：
Key Laboratory of Bioinorganic and Synthetic Chemistry,Ministry of Educa-tion,School of Chemistry,Sun Yat-Sen University,Guangzhou 510275,P.R.China
文献出处：
引用格式：
[1]LI Jing-Hong;XIE Yi;ZHOU Mu-Yang;LIN Rui-Biao;CHEN Xiao-Ming-.Microporous Zinc Formate for Efficient Separation of Acetylene over Carbon Dioxide)[J].高等学校化学研究（英文版）,2022(01):87-91
A类：
Formate,Acetylene
B类：
Microporous,Zinc,Efficient,Separation,over,Carbon,Dioxide,acetylene,C2H2,from,carbon,dioxide,by,adsorbents,very,challenging,owing,their,high,similarity,molecular,shape,dimension,Exploring,inexpensive,easily,available,materials,importance,facilitate,practical,implementation,but,energy,efficient,separation,Herein,we,utilize,Zn3,HCOO,selective,Because,pore,confinement,size,accessible,oxygen,sites,preferential,binding,this,exhibits,low,pressure,uptake,cm3,kPa,selectivity,under,ambient,conditions,that,comparable,those,out,performing,mixture,has,also,been,confirmed,breakthrough,experiments
AB值：
0.585299
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
