典型文献
Multivariate MOF for optimizing atmospheric water harvesting
文献摘要：
Atmospheric water harvesting offers a powerful and promising solution to address the problem of global freshwater scarcity.In the past decade,significant progress has been achieved in utilizing hydrolytically stable metal-organic frameworks as recyclable water-sorbent materials under low relative humidity,especially in those arid areas.Recently,Yaghi's group has employed a combined crystallographic and theoretical technique to decipher the water filling mechanism in MOF-303,where the polar organic linkers rather than the inorganic units of MOF are demonstrated as the key factor.Hence,the hydrophilic strength of the water-binding pocket in MOFs can be optimized through the approach of multivariate modulations,resulting in enhanced water harvesting properties.
文献关键词：
中图分类号：
作者姓名：
Ao Ma;Hengjiang Cong;Hexiang Deng
作者机构：
College of Chemistry and Molecular Sciences,Wuhan University,Wuhan,430072,China;Hubei Yangtze Memory Laboratories,Wuhan,430205,China;Engineering Research Center of Organosilicon Compounds and Materials-Ministry of Education,College of Chemistry and Molecular Sciences,Wuhan University,Wuhan,430072,China;Key Laboratory of Biomedical Polymers-Ministry of Education,College of Chemistry and Molecular Sciences,Wuhan University,Wuhan,430072,China
文献出处：
引用格式：
[1]Ao Ma;Hengjiang Cong;Hexiang Deng-.Multivariate MOF for optimizing atmospheric water harvesting)[J].绿色能源与环境（英文）,2022(04):575-577
A类：
hydrolytically,Yaghi
B类：
Multivariate,optimizing,atmospheric,harvesting,Atmospheric,offers,powerful,promising,solution,address,problem,global,freshwater,scarcity,In,past,decade,significant,progress,has,been,achieved,utilizing,stable,metal,frameworks,recyclable,sorbent,materials,under,low,relative,humidity,especially,those,arid,areas,Recently,group,employed,combined,crystallographic,theoretical,technique,decipher,filling,mechanism,where,polar,linkers,rather,than,inorganic,units,demonstrated,key,Hence,hydrophilic,strength,binding,pocket,MOFs,optimized,through,approach,multivariate,modulations,resulting,enhanced,properties
AB值：
0.693114
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