用于碳氢化合物分离膜的双层金属有机框架纳米板。

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Jongbum Kim, Minsu Kim, Seungho Yu, Jihee Yu, Chanjong Yu, Taehwan Kim, Nahyeon Lee, Yun Ho Ahn, Yun Ho Kim, Sungmi Yoo, Ki Chul Kim, Dae Woo Kim, Kiwon Eum
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引用次数: 0

摘要

填料形态控制对于提高混合基质膜(MMM)的气体分离性能至关重要。利用晶体孪晶现象在沸石咪唑酸框架(ZIF)纳米板上设计了垂直传输通道。孪晶 ZIF-8 (TZIF-8) 纳米板是通过控制 ZIF-L 的形状,使其从纳米片状变为孪晶片状,然后转化为 ZIF-8 相来制备的。在 6FDA-DAM 聚合物中添加 TZIF-8 后,丙烯/丙烷的选择性显著提高,丙烯渗透率达到 40 巴勒,丙烯/丙烷选择性达到 82。其分离性能超过了迄今报道的 MMM 性能,选择性与多晶 ZIF-8 膜相当。利用数学模型进行的传输机理研究表明,渗滤孪生填料为所需分子创造了快速和选择性气体通道,而为非所需分子创造了大量曲折路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Twinned Metal-Organic Framework Nanoplates for Hydrocarbon Separation Membranes.

Filler morphology control is critical for enhancing the gas separation performance of mixed matrix membranes (MMMs). A vertical transport channel using the crystal twinning phenomenon is designed on the zeolitic imidazolate framework (ZIF) nanoplate. Twinned ZIF-8 (TZIF-8) nanoplate is prepared by controlling the shape of ZIF-L from nanosheet to twinned flake, followed by conversion into the ZIF-8 phase. With the addition of TZIF-8 in 6FDA-DAM polymer, propylene/propane selectivity is dramatically enhanced, showing propylene permeability of 40 Barrer and propylene/propane selectivity of 82. The separation performance surpasses the performance of MMMs reported so far, and the selectivity is comparable to that of polycrystalline ZIF-8 membranes. A transport mechanism study using mathematical models implies that the percolated twin fillers create rapid and selective gas channels for desired molecules and substantial tortuous pathways for undesired molecules.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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