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Size-Dependent Enantioselective Adsorption of Racemic Molecules through Homochiral Metal-Organic Frameworks Embedding Helicity.
Xu, Zhong-Xuan; Fu, Hong-Ru; Wu, Xin; Kang, Yao; Zhang, Jian.
Affiliation
  • Xu ZX; State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, The Chinese Academy of Sciences, Fuzhou, Fujian 350002 (P.R. China).
  • Fu HR; Department of Chemistry, Zunyi Normal College, Zunyi, Guizhou 563002 (P.R. China).
  • Wu X; State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, The Chinese Academy of Sciences, Fuzhou, Fujian 350002 (P.R. China).
  • Kang Y; State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, The Chinese Academy of Sciences, Fuzhou, Fujian 350002 (P.R. China).
  • Zhang J; State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, The Chinese Academy of Sciences, Fuzhou, Fujian 350002 (P.R. China).
Chemistry ; 21(28): 10236-40, 2015 Jul 06.
Article in En | MEDLINE | ID: mdl-26041141
ABSTRACT
Homochiral metal-organic frameworks (HMOFs) are efficient materials for enantioselective adsorption. However, the combination of size selectivity and enantioselectivity is still a major challenge in the field of HMOFs. Herein, two enantiomorphic HMOFs built from predesigned proline-derived ligands are presented. Both of them show multiple homochiral features they contain four different helical chains and three types of helical channels. Due to the size effect of the helical channels, each HMOF can enantioselectively adsorb methyl lactate with high ee. The results reveal a new approach toward size-dependent enantioselective separation of racemic compounds by using HMOFs built from inexpensive proline derivatives.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Chemistry Journal subject: QUIMICA Year: 2015 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Chemistry Journal subject: QUIMICA Year: 2015 Document type: Article