Literature DB >> 31535784

Homochiral MOF-Polymer Mixed Matrix Membranes for Efficient Separation of Chiral Molecules.

Yizhihao Lu1, Huacheng Zhang1, Jun Yong Chan1, Ranwen Ou1, Haijin Zhu2, Maria Forsyth2, Emilia M Marijanovic3, Cara M Doherty4, Philip J Marriott5, Mark M Banaszak Holl1, Huanting Wang1.   

Abstract

Homochiral metal-organic framework (MOF) membranes have been recently reported for chiral separations. However, only a few high-quality homochiral polycrystalline MOF membranes have been fabricated due to the difficulty in crystallization of a chiral MOF layer without defects on porous substrates. Alternatively, mixed matrix membranes (MMMs), which combine potential advantages of MOFs and polymers, have been widely demonstrated for gas separation and water purification. Here we report novel homochiral MOF-polymer MMMs for efficient chiral separation. Homochirality was successfully incorporated into achiral MIL-53-NH2 nanocrystals by post-synthetic modification with amino acids, such as l-histidine (l-His) and l-glutamic acid (l-Glu). The MIL-53-NH-l-His and MIL-53-NH-l-Glu nanocrystals were then embedded into polyethersulfone (PES) matrix to form homochiral MMMs, which exhibited excellent enantioselectivity for racemic 1-phenylethanol with the highest enantiomeric excess value up to 100 %. This work, as an example, demonstrates the feasibility of fabricating diverse large-scale homochiral MOF-based MMMs for chiral separation.
© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  chiral resolution; chirality; homochiral membrane separation; metal-organic frameworks; mixed-matrix membrane

Year:  2019        PMID: 31535784     DOI: 10.1002/anie.201910408

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  10 in total

Review 1.  Chiral Graphene Hybrid Materials: Structures, Properties, and Chiral Applications.

Authors:  Biao Zhao; Shenghua Yang; Jianping Deng; Kai Pan
Journal:  Adv Sci (Weinh)       Date:  2021-02-12       Impact factor: 16.806

2.  MIL-53-based homochiral metal-organic framework as a stationary phase for open-tubular capillary electrochromatography.

Authors:  Xiaodong Sun; Bing Niu; Qi Zhang; Qin Chen
Journal:  J Pharm Anal       Date:  2021-12-20

3.  Understanding of chiral site-dependent enantioselective identification on a plasmon-free semiconductor based SERS substrate.

Authors:  Jing Xu; Yuanfei Xue; Xiaoxia Jian; Yue Zhao; Zhenqing Dai; Jingwen Xu; Zhida Gao; Ye Mei; Yan-Yan Song
Journal:  Chem Sci       Date:  2022-05-11       Impact factor: 9.969

Review 4.  Enantioselective Mixed Matrix Membranes for Chiral Resolution.

Authors:  Hwa-Jin Choi; Yun-Ho Ahn; Dong-Yeun Koh
Journal:  Membranes (Basel)       Date:  2021-04-10

5.  Room-temperature preparation of a chiral covalent organic framework for the selective adsorption of amino acid enantiomers.

Authors:  Fang Liu; Hai-Long Qian; Cheng Yang; Xiu-Ping Yan
Journal:  RSC Adv       Date:  2020-04-20       Impact factor: 4.036

6.  Effects of mesoporous silica particle size and pore structure on the performance of polymer-mesoporous silica mixed matrix membranes.

Authors:  Junhui Wang; Gang Wang; Zhongshen Zhang; Gangfeng Ouyang; Zhengping Hao
Journal:  RSC Adv       Date:  2021-11-11       Impact factor: 3.361

7.  Homochiral Metal-Organic Framework Based Mixed Matrix Membrane for Chiral Resolution.

Authors:  Hwa-Jin Choi; Dong-Yeun Koh
Journal:  Membranes (Basel)       Date:  2022-03-24

Review 8.  Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection.

Authors:  Yuna Zhang; Cuili Xue; Yuli Xu; Shengsheng Cui; Alexander A Ganeev; Yury V Kistenev; Anna Gubal; Victoria Chuchina; Han Jin; Daxiang Cui
Journal:  Nano Res       Date:  2022-09-03       Impact factor: 10.269

Review 9.  Challenges and opportunities for chiral covalent organic frameworks.

Authors:  Xing Kang; Emily R Stephens; Benjamin M Spector-Watts; Ziping Li; Yan Liu; Lujia Liu; Yong Cui
Journal:  Chem Sci       Date:  2022-07-20       Impact factor: 9.969

10.  Combining Computational Screening and Machine Learning to Predict Metal-Organic Framework Adsorbents and Membranes for Removing CH4 or H2 from Air.

Authors:  Huilin Li; Cuimiao Wang; Yue Zeng; Dong Li; Yaling Yan; Xin Zhu; Zhiwei Qiao
Journal:  Membranes (Basel)       Date:  2022-08-25
  10 in total

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