Discovery of a Scalable Metal–Organic Framework with a Switchable Structure for Efficient CH4/N2 Separation
Source abstract
Abstract
Discovering optimum materials to realize an efficient CH 4 /N 2 mixture is of vital industrial significance but scientifically challenging. To solve this key obstacle, an efficient strategy from theoretical screening to scalable synthesis was thus proposed. A large-scale computational screening was first executed to identify high-performance adsorbents for CH 4 /N 2 separation from the experimental copper metal–organic framework (Cu-MOF) libraries. A series of MOFs with kagomé-type lattice characteristics were computationally defined as candidates with good CH 4 /N 2 selectivity. As a proof-of-concept example, one of the candidates (SIWPAS) was further prepared in an experiment. Intriguingly, the pore sizes can be precisely regulated by altering the degassing temperature to induce the dynamic switch of the initial two-dimensional (2D) framework, further enhancing the separation performance for CH 4 /N 2 . The obtained selectivity of 15.0 at 298 K and 1.0 bar is consistent with the simulation prediction value, which is also one of the highest values presently. Meanwhile, the CH 4 /N 2 uptake ratio of 7.5 (298 K and 1.0 bar) and comprehensive separation performance index sorbent selection parameter (Ssp) of 283.0 are higher than those of all materials as yet. Significantly, the scalable continuous synthesis of this MOF was finally realized with the highest space-time yield (STY) of 18982 kg m –3 day –1 for all 2D MOFs with the aid of the process intensification approach based on high gravity technology. As a foremost finding, this work not only greatly shortens the discovery period of high-performance MOF materials but also effectively promotes their practical applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Covalent Organic Framework Applications · Inorganic Fluorides and Related Compounds
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Organic−Inorganic Composites, Beijing University of Chemical Technology, Beijing 100029, China
Research Center of the Ministry of Education for High Gravity Engineering and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Funding
National Key Research and Development Program of China · National Natural Science Foundation of China
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