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Factors influencing Al(3+)-dimer speciation and stability from density functional theory calculations
Stuart Bogatko1, Paul Geerlings
1Eenheid Algemene Chemie, Vrije Universiteit Brussel (VUB), Faculteit Wetenschappen, Pleinlaan 2, 1050 Brussels, Belgium. sbogatko@vub.ac.be
Aqueous aluminum dimer complexes exhibit cooperativity, with stability influenced by water and hydroxide ligands. Bridging structures and intramolecular hydrogen bonds affect dimer stability across varying pH levels.
Area of Science:
- Computational Chemistry
- Aqueous Solution Chemistry
- Inorganic Chemistry
Background:
- Aluminum (Al(3+)) speciation in aqueous solutions is complex and pH-dependent.
- Understanding the formation and stability of Al-dimer complexes is crucial for predicting solution composition.
Purpose of the Study:
- To investigate the structure, reactivity, and stability of aqueous Al-dimer complexes.
- To elucidate the role of water and hydroxide coordination on Al-dimer properties.
- To evaluate the influence of intramolecular hydrogen bonds and bridging structures on dimer stability.
Main Methods:
- Density Functional Theory (DFT) using B3LYP/6-311++G(d,p).
- Explicit treatment of cation-ligand interactions and continuum solvation (IEF-PCM).
- Analysis of geometric, electronic, and thermodynamic properties (Gibbs free energy of formation).
Main Results:
- Cooperativity mechanism observed: decreased Al-water bond stability with increasing hydroxide coordination.
- Dimer stability depends on ligand number; bridging structure (singly, doubly, triply bridged) does not correlate with stability.
- Intramolecular hydrogen bonds (H3O, H4O2, H2O bridges) significantly influence dimer stability.
- Predicted equilibrium mole fractions align with experimental observations after refining OH/Al ratio cutoff.
Conclusions:
- A wide variety of aqueous Al-dimer species exist, influenced by cooperativity and intramolecular hydrogen bonding.
- Singly and doubly bridged dimers are dominant in the pH range of ~4-7.
- The computational model accurately predicts Al speciation trends with increasing pH, particularly after refinement.
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