Steering diffusion selectivity of chemical isomers within aligned nanochannels of metal-organic framework thin film

The movement of molecules (i.e. diffusion) within angstrom-scale pores of porous materials such as metal-organic frameworks (MOFs) and zeolites is influenced by multiple complex factors that can be challenging to assess and manipulate. Nevertheless, understanding and controlling this diffusion phenomenon is crucial for advancing energy-economic membrane-based chemical separation technologies, as well as for heterogeneous catalysis and sensing applications. Through precise assessment of the factors influencing diffusion within a porous metal-organic framework (MOF) thin film, we have developed a chemical strategy to manipulate and reverse chemical isomer diffusion selectivity. In the process of cognizing the molecular diffusion within oriented, angstrom-scale channels of MOF thin film, we have unveiled a dynamic chemical interaction between the adsorbate (chemical isomers) and the MOF using a combination of kinetic mass uptake experiments and molecular simulation. Leveraging the dynamic chemical interactions, we have reversed the haloalkane (positional) isomer diffusion selectivity, forging a chemical pathway to elevate the overall efficacy of membrane-based chemical separation and selective catalytic reactions. Controlling chemical isomer diffusion in nanoporous metal-organic framework is key for separation and catalysis. Here, the authors leverage dynamic chemical interactions to manipulate and reverse isomer diffusion selectivity.

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Publication Details

Journal
Nature Communications
Published
2024-11-08
DOI
https://doi.org/10.1038/s41467-024-53207-3
Citations
10
Primary Topic
Metal-Organic Frameworks: Synthesis and Applications
Type
article
Field-Weighted Citation Impact
1.58

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article

Steering diffusion selectivity of chemical isomers within aligned nanochannels of metal-organic framework thin film

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10 citations
Nature Communications
Metal-Organic Frameworks: Synthesis and Applications
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article

Steering diffusion selectivity of chemical isomers within aligned nanochannels of metal-organic framework thin film

Raheel Hammad, Arighna Sarkar, Ritesh Haldar, Susmita Sarkar, Kalyaneswar Mandal, Soumya Ghosh, Tanmoy Maity, Jagannath Mondal, Suvendu Panda, Susmita Kundu
article en
10 citations

Abstract

The movement of molecules (i.e. diffusion) within angstrom-scale pores of porous materials such as metal-organic frameworks (MOFs) and zeolites is influenced by multiple complex factors that can be challenging to assess and manipulate. Nevertheless, understanding and controlling this diffusion phenomenon is crucial for advancing energy-economic membrane-based chemical separation technologies, as well as for heterogeneous catalysis and sensing applications. Through precise assessment of the factors influencing diffusion within a porous metal-organic framework (MOF) thin film, we have developed a chemical strategy to manipulate and reverse chemical isomer diffusion selectivity. In the process of cognizing the molecular diffusion within oriented, angstrom-scale channels of MOF thin film, we have unveiled a dynamic chemical interaction between the adsorbate (chemical isomers) and the MOF using a combination of kinetic mass uptake experiments and molecular simulation. Leveraging the dynamic chemical interactions, we have reversed the haloalkane (positional) isomer diffusion selectivity, forging a chemical pathway to elevate the overall efficacy of membrane-based chemical separation and selective catalytic reactions. Controlling chemical isomer diffusion in nanoporous metal-organic framework is key for separation and catalysis. Here, the authors leverage dynamic chemical interactions to manipulate and reverse isomer diffusion selectivity.

Nature CommunicationsVol. 15(1)
TIFR Centre for Interdisciplinary Sciences (IN)
Tata Institute of Fundamental Research, Jawaharlal Nehru Centre for Advanced Scientific Research, Science and Engineering Research Board
Affordable and clean energy
Openalex Percentile: Top 18%
Metal-Organic Frameworks: Synthesis and Applications
1.58
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