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The Fe-MAN Challenge: Ferrates-Microkinetic Assessment of Numerical Quantum Chemistry
Rene Rahrt1, Björn Hein-Janke2, Kosala N Amarasinghe3
1Institut für Organische und Biomolekulare Chemie, Universität Göttingen, Tammannstr. 2, Göttingen 37077, Germany.
Gas-phase experiments reveal the precise reactivity of trisarylferrate anions with fluorinated alcohols. This study benchmarks computational methods for organometallic reactions, advancing chemical understanding.
Area of Science:
- Organometallic Chemistry
- Physical Chemistry
- Computational Chemistry
Background:
- Organoferrate ions are key nucleophiles, but their reactions in solution are complex due to equilibria.
- Gas-phase experiments on mass-selected ions enable the study of individual species' reactivity.
- Understanding these reactions is crucial for fundamental chemical knowledge.
Purpose of the Study:
- To investigate the gas-phase protolysis reactions of trisarylferrate anions with fluorinated alcohols.
- To determine experimental bimolecular rate constants (k_exp) for these reactions.
- To evaluate the accuracy of computational methods in predicting these reaction parameters.
Main Methods:
- Mass-spectrometric measurements of gas-phase ion reactions.
- Proton transfer reactions involving trisarylferrate anions (FePh3-, FeMes3-) and fluorinated alcohols (2,2,2-trifluoroethanol, 2,2-difluoroethanol).
- A dual blind challenge for theoretical groups to predict activation barriers and rate constants (k_theo).
Main Results:
- Experimental bimolecular rate constants (k_exp) for the gas-phase protolysis were determined.
- Comparison between experimental and theoretical rate constants provides insights into computational method performance.
- The study establishes a benchmark for evaluating quantum chemical methods.
Conclusions:
- Gas-phase studies offer a clear view of organoferrate anion reactivity, overcoming solution complexities.
- The results facilitate the benchmarking of computational protocols for organometallic reaction prediction.
- This work paves the way for improved quantum chemical methods and data-driven approaches.
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