Computational Materials Science2022,Vol.20110.DOI:10.1016/j.commatsci.2021.110886

Leaching model of radionuclides in metal-organic framework particles

Li, Yulan Hu, Shenyang Hilty, Floyd W. Montgomery, Robert Park, Kyoung Chul Martin, Corey R. Shustova, Natalia B. Liu, Yuan Phillpot, Simon R.
Computational Materials Science2022,Vol.20110.DOI:10.1016/j.commatsci.2021.110886

Leaching model of radionuclides in metal-organic framework particles

Li, Yulan 1Hu, Shenyang 1Hilty, Floyd W. 1Montgomery, Robert 1Park, Kyoung Chul 2Martin, Corey R. 2Shustova, Natalia B. 2Liu, Yuan 3Phillpot, Simon R.3
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作者信息

  • 1. Pacific Northwest Natl Lab
  • 2. Univ South Carolina
  • 3. Univ Florida
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Abstract

Metal-organic frameworks (MOFs) have been used to sequester radionuclides and seal them inside of porous scaffolds using postsynthetic modification procedures. Experiments show that certain Zr-MOF with different capping linkers significantly affects the radionuclide release kinetics. In this work, we developed a leaching model of radionuclides in Zr-MOF particles. The model assumes that uranyl species occupy two energetically favored sites: the metal node and the MOF pores. For a given overall concentration of uranyl species, the partitions of uranyl species at the metal nodes and within the pores are determined by their chemical potentials. The model also considers the effect of particle surface and concentration on chemical potentials and diffusivity. The effects of spatial and structural dependent chemical potentials and diffusivity as well as particle sizes on leaching kinetics are investigated with the model. Predicted and measured uranyl leaching kinetics in Zr-MOF particles under batch experiments are compared. The results demonstrate the model's capability for exploring the mechanisms of leaching and provide guidance for material design.

Key words

Leaching kinetics/Uranyl/Diffusion/Chemical potentials/Metal-Organic Framework (MOF) particle/PHASE-FIELD MODEL/KINETICS/GROWTH

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量1
参考文献量21
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