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Characterization of Structural Iron in Smectites - An Ab Initio Based X-ray Absorption Spectroscopy Study
Annamária Kéri1,2, Rainer Dähn1, Matthias Krack3
1Laboratory for Waste Management , Paul Scherrer Institute , CH-5232 Villigen PSI, Switzerland.
Iron distribution in clay minerals influences redox reactions. This study used X-ray absorption spectroscopy and ab initio calculations to reveal iron clustering in Texas-montmorillonite, impacting contaminant sorption.
Area of Science:
- Geochemistry
- Mineralogy
- Materials Science
Background:
- Fe-bearing clay minerals in argillaceous rocks are crucial due to redox-active structural iron controlling sorption of sensitive elements.
- The iron oxidation state (Fe2+/Fe3+ ratio) and structural distribution within clay mineral TOT-layers dictate redox reaction efficiency.
- Isomorphic substitution patterns, like individual iron or Fe-Fe pairs, can vary even in smectites from different locations.
Purpose of the Study:
- To determine the proportion of different iron distributions in Milos-, Wyoming-, and Texas-montmorillonite.
- To investigate the influence of iron arrangement on the sorption of redox-sensitive elements.
- To combine experimental spectroscopy with theoretical calculations for detailed structural analysis.
Main Methods:
- Utilized X-ray absorption spectroscopy (XAS) to analyze iron in clay minerals.
- Employed ab initio calculations based on relaxed atomic structures of smectite models.
- Modeled different arrangements of individual Fe atoms and Fe-Fe/Fe-Mg clusters to simulate XAS spectra.
Main Results:
- Fe K-edge XAS spectra analysis indicated iron is present as Fe3+ in the octahedral sheet of all studied montmorillonites.
- Texas-montmorillonite showed a tendency for Fe3+ to form clusters.
- No definitive conclusions could be drawn regarding Fe-Fe and Fe-Mg pair clustering or avoidance in Milos- and Wyoming-montmorillonite.
Conclusions:
- The structural arrangement of iron, particularly clustering, varies among different montmorillonite samples.
- Understanding iron distribution is key to predicting the behavior of redox-sensitive elements in clay-rich environments.
- The combined XAS and ab initio approach provides a powerful tool for characterizing iron speciation and distribution in minerals.
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