Evaluation of the BET Theory for the Characterization of Meso and Microporous MOFs

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Filip Ambroz, Thomas J. Macdonald, Vladimir Martis, Ivan P. Parkin
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引用次数: 245

Abstract

Surface area determination with the Brunauer–Emmett–Teller (BET) method is a widely used characterization technique for metal–organic frameworks (MOFs). Since these materials are highly porous, the use of the BET theory can be problematic. Several researchers have evaluated the BET method to gain insights into the usefulness of the obtained results and interestingly, their findings are not always consistent. In this review, the suitability of the BET method is discussed for MOFs that have a diverse range of pore widths below the diameters of N2 or Ar and above 20 Å. In addition, the surface area of MOFs that are obtained by implementing different approaches, such as grand canonical Monte Carlo simulations, calculations from the crystal structures or based on experimental N2, Ar, or CO2 adsorption isotherms, are compared and evaluated. Inconsistencies in the state-of-the-art are also noted. Based on the current literature, an overview is provided of how the BET method can give useful estimations of the surface areas for the majority of MOFs, but there are some crucial and specific exceptions which are highlighted in this review.

Abstract Image

介孔和微孔mof表征的BET理论评价
布鲁诺尔-埃米特-泰勒(BET)法是一种广泛应用于金属有机骨架(mof)表征的表面积测定技术。由于这些材料是高度多孔的,使用BET理论可能会有问题。几位研究人员对BET方法进行了评估,以深入了解所获得结果的有用性,有趣的是,他们的发现并不总是一致的。在这篇综述中,讨论了BET方法对具有不同孔径范围(小于N2或Ar直径和大于20 Å)的mof的适用性。此外,还比较和评估了通过不同方法获得的mof的表面积,如大规范蒙特卡罗模拟,从晶体结构计算或基于实验N2, Ar或CO2吸附等温线的计算。还指出了最新技术的不一致之处。基于目前的文献,本文概述了BET方法如何对大多数mof的表面积进行有用的估计,但也有一些关键的和特定的例外,这些例外在本文中得到了强调。
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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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