Uranyl adsorption on solvated edge surfaces of pyrophyllite: a DFT model study
Alena Kremleva1, Benjamí Martorell, Sven Krüger
1Department Chemie & Catalysis Research Center, Technische Universität München, 85747 Garching, Germany.
This study computationally investigated uranyl adsorption on pyrophyllite edge surfaces. It found that different surface sites favor different uranyl complexes, explaining varied experimental observations in clay mineral adsorption.
Area of Science:
- Geochemistry
- Computational Chemistry
- Materials Science
Background:
- Uranyl (UO(2)(2+)) adsorption on clay minerals is crucial for understanding contaminant transport and sequestration.
- Pyrophyllite, a common clay mineral, possesses distinct edge surfaces ((110) and (010)) with varying reactivity.
- Previous studies using techniques like EXAFS (Extended X-ray Absorption Fine Structure) have provided insights but sometimes yielded conflicting interpretations of uranyl adsorption species.
Purpose of the Study:
- To computationally model and characterize uranyl adsorption complexes on pyrophyllite (110) and (010) edge surfaces.
- To identify preferred adsorption sites and understand the factors influencing uranyl coordination.
- To reconcile discrepancies between computational predictions and experimental EXAFS data.
Main Methods:
- Density functional theory (DFT) calculations were employed using periodic slab models.
- Bidentate adsorption complexes of uranyl were explored on partially deprotonated aluminol (Al(O,OH)) and silanol (Si(O,OH)) sites, as well as mixed AlO-SiO sites.
- Calculated structural parameters were compared with existing EXAFS data for montmorillonite.
Main Results:
- Aluminol sites on the (110) surface and mixed AlO-SiO sites on the (010) surface were found to be the most favorable for uranyl adsorption.
- Calculated U-O bond distances showed an increasing trend with uranyl coordination number, contrasting with EXAFS findings.
- The study suggests the potential coexistence of multiple uranyl adsorption species with varying coordination numbers and on different edge faces.
Conclusions:
- Computational modeling provides a detailed understanding of uranyl adsorption mechanisms on pyrophyllite edge surfaces.
- The findings highlight the importance of considering diverse adsorption sites and species to interpret experimental spectroscopic data.
- This work contributes to a more accurate assessment of uranyl behavior in geological environments and engineered systems.
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