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Published on: October 6, 2023
Exploring Metal-Ligand Interactions and Predicting Stability Constants in Uranyl Nitrate Complexes with Alkyl
Vemuri Lakshmi Ganesh1,2, Aditya Ramesh Sachin3, Cherukuri Venkata Siva Brahmananda Rao1,2
1Indira Gandhi Centre for Atomic Research, Kalpakkam, Tamil Nadu 603102, India.
This study used quantum chemical calculations to investigate trialkyl phosphates complexation with uranyl nitrate. Symmetrical ligands showed greater stability due to reduced strain energy during complex formation.
Area of Science:
- Computational Chemistry
- Inorganic Chemistry
- Materials Science
Background:
- Trialkyl phosphates are crucial in nuclear fuel reprocessing.
- Understanding their complexation with uranyl nitrate is vital for process optimization.
- Previous studies have explored various aspects of these interactions.
Purpose of the Study:
- To investigate the complexation behavior of diverse trialkyl phosphates with uranyl nitrate.
- To elucidate the influence of alkyl substituent symmetry on complex stability.
- To predict the stability constants of these metal complexes.
Main Methods:
- Density functional theory (DFT) was employed for quantum chemical calculations.
- Energy decomposition analysis (EDA) was used to assess binding energies and strain.
- Stability constants were predicted computationally.
Main Results:
- Phosphorus and phosphoryl oxygen charges are largely independent of alkyl substituents.
- Strain energy from geometric deformation significantly impacts complex formation.
- Complexes with symmetrical ligands exhibit more negative binding energies than unsymmetrical ones.
- The predicted stability constant for tributyl phosphate (TBP) with uranyl nitrate (2.3) closely matches the experimental value (1.9).
Conclusions:
- Alkyl substituent symmetry is a key factor in the stability of uranyl nitrate-trialkyl phosphate complexes.
- DFT and EDA provide valuable insights into the electronic and energetic aspects of complexation.
- Computational predictions of stability constants show good agreement with experimental data, validating the methodology.
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