Selective Adsorption of Hafnium Using SBA-15 Mesoporous Silica for Efficient Separation from Zirconium

The separation of zirconium (Zr) and hafnium (Hf) represents a critical challenge in the nuclear industry, where Hf-selective adsorbents are essential for sustainable separation. Here, mesoporous silica SBA-15 synthesized via a soft-template strategy was employed as an Hf-selective adsorbent for Zr/Hf separation. Under optimal conditions, SBA-15 demonstrated pronounced selectivity for Hf4+, achieving a separation coefficient (βHf/Zr) of 2.9. The adsorption behavior for both Zr4+ and Hf4+ on SBA-15 was well described by the Langmuir isotherm and pseudo-second-order kinetic models, indicating that the adsorption of Zr4+ and Hf4+ is a monolayer chemisorption. Thermodynamic analysis further confirms that the adsorption process is spontaneous and endothermic. Combined with characterizations and density functional theory calculations, the abundant intrinsic silanol groups (−Si–OH) on SBA-15 were determined as the primary adsorption sites. Furthermore, the binding energy between Hf4+ and SBA-15 (−9.69 eV) is markedly lower than that between Zr4+ and SBA-15 (−9.40 eV), driving the preferential adsorption of Hf4+. Compared with Zr, the expanded 5d orbital distribution of Hf facilitates more effective bonding with the 2p orbitals of oxygen in silanol groups. This work offers a promising green and sustainable approach for the selective separation of Hf from Zr/Hf mixtures, with potential applications in both scientific research and industry.

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Journal
Industrial & Engineering Chemistry Research
Published
2026-04-02
DOI
https://doi.org/10.1021/acs.iecr.6c00618
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Selective Adsorption of Hafnium Using SBA-15 Mesoporous Silica for Efficient Separation from Zirconium

Caixin Zhang, Renfeng Huang, Guoping Hu, Qianze Li et al.
Industrial & Engineering Chemistry Research
Extraction and Separation Processes
article

Selective Adsorption of Hafnium Using SBA-15 Mesoporous Silica for Efficient Separation from Zirconium

Caixin Zhang, Renfeng Huang, Guoping Hu, Qianze Li, Tao Qi, Yong Wang, Li Wan
article en

Abstract

The separation of zirconium (Zr) and hafnium (Hf) represents a critical challenge in the nuclear industry, where Hf-selective adsorbents are essential for sustainable separation. Here, mesoporous silica SBA-15 synthesized via a soft-template strategy was employed as an Hf-selective adsorbent for Zr/Hf separation. Under optimal conditions, SBA-15 demonstrated pronounced selectivity for Hf4+, achieving a separation coefficient (βHf/Zr) of 2.9. The adsorption behavior for both Zr4+ and Hf4+ on SBA-15 was well described by the Langmuir isotherm and pseudo-second-order kinetic models, indicating that the adsorption of Zr4+ and Hf4+ is a monolayer chemisorption. Thermodynamic analysis further confirms that the adsorption process is spontaneous and endothermic. Combined with characterizations and density functional theory calculations, the abundant intrinsic silanol groups (−Si–OH) on SBA-15 were determined as the primary adsorption sites. Furthermore, the binding energy between Hf4+ and SBA-15 (−9.69 eV) is markedly lower than that between Zr4+ and SBA-15 (−9.40 eV), driving the preferential adsorption of Hf4+. Compared with Zr, the expanded 5d orbital distribution of Hf facilitates more effective bonding with the 2p orbitals of oxygen in silanol groups. This work offers a promising green and sustainable approach for the selective separation of Hf from Zr/Hf mixtures, with potential applications in both scientific research and industry.

Industrial & Engineering Chemistry ResearchVol. 65(14)
University of Science and Technology of China (CN), Eastern Institute of Technology (NZ), Hunan First Normal University (CN), Hunan Institute of Technology (CN)
Double Thousand Plan of Jiangxi Province, Chinese Academy of Sciences, Ganjiang Innovation Academy, Chinese Academy of Sciences
Openalex Percentile: Top 26%
Extraction and Separation Processes
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