Suppr超能文献

通过紧凑 NMR 弛豫测量筛选用于分离二元溶剂混合物的金属有机骨架。

Screening Metal-Organic Frameworks for Separation of Binary Solvent Mixtures by Compact NMR Relaxometry.

机构信息

Institut für Technische und Makromolekulare Chemie, RWTH Aachen University, Templergraben 55, 52056 Aachen, Germany.

Department of Fossil Fuels, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland.

出版信息

Molecules. 2021 Jun 8;26(12):3481. doi: 10.3390/molecules26123481.

Abstract

Metal-organic frameworks (MOFs) have great potential as an efficient alternative to current separation and purification procedures of a large variety of solvent mixtures-a critical process in many applications. Due to the huge number of existing MOFs, it is of key importance to identify high-throughput analytical tools, which can be used for their screening and performance ranking. In this context, the present work introduces a simple, fast, and inexpensive approach by compact low-field proton nuclear magnetic resonance (NMR) relaxometry to investigate the efficiency of MOF materials for the separation of a binary solvent mixture. The mass proportions of two solvents within a particular solvent mixture can be quantified before and after separation with the help of a established correlation curves relating the effective transverse relaxation times and the mass proportions of the two solvents. The new method is applied to test the separation efficiency of powdered UiO-66(Zr) for various solvent mixtures, including linear and cyclic alkanes and benzene derivate, under static conditions at room temperature. Its reliability is demonstrated by comparison with results from H liquid-state NMR spectroscopy.

摘要

金属-有机骨架(MOFs)作为当前各种溶剂混合物的分离和纯化方法的有效替代物具有巨大的潜力,这是许多应用中的一个关键过程。由于现有的 MOFs 数量众多,因此确定高通量分析工具以对其进行筛选和性能排名至关重要。在这种情况下,本工作引入了一种简单、快速且廉价的方法,即通过紧凑的低场质子核磁共振(NMR)弛豫测量来研究 MOF 材料对二元溶剂混合物分离的效率。通过建立与两种溶剂的质量比例相关的有效横向弛豫时间和有效横向弛豫时间的相关曲线,可以在分离前后定量特定溶剂混合物中两种溶剂的质量比例。该新方法应用于测试粉末状 UiO-66(Zr)在室温下静态条件下对各种溶剂混合物(包括线性和环状烷烃以及苯衍生物)的分离效率。通过与 H 液体核磁共振光谱学的结果进行比较,证明了其可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1374/8228364/73f806b5f44c/molecules-26-03481-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验