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Updated: Jun 26, 2026

Measurement of the Potential Rates of Dissimilatory Nitrate Reduction to Ammonium Based on 14NH4+/15NH4+ Analyses via Sequential Conversion to N2O
Published on: October 7, 2020
Theoretical studies of N2 reduction to ammonia in Fe(dmpe)2N2
Robert B Yelle1, Justin L Crossland, Nathaniel K Szymczak
1Computational Science Institute, 5294 University of Oregon, 1600 Millrace Drive Suite 105, Eugene, Oregon 97403, USA.
Density functional theory calculations reveal the most favorable mechanism for the reaction of iron bis(1,2-bis(dimethylphosphino)ethane) dinitrogen (Fe(dmpe)2N2) with protons. The study identifies a pathway through diazene and hydrazine intermediates as the most energetically favorable route.
Area of Science:
- Inorganic Chemistry
- Computational Chemistry
- Organometallic Chemistry
Background:
- The reaction of iron complexes with dinitrogen is crucial for understanding nitrogen fixation.
- Fe(dmpe)2N2 serves as a model complex for studying dinitrogen activation and reduction.
Purpose of the Study:
- To elucidate the mechanism of protonation and reduction of the Fe(dmpe)2N2 complex.
- To compare the energetic favorability of different reaction pathways.
Main Methods:
- Density functional theory (DFT) calculations were employed.
- Electronic structure calculations were performed on potential reaction intermediates.
- Three distinct reaction mechanisms were investigated and compared.
Main Results:
- A Chatt-like mechanism involving stepwise proton addition was found to be least favorable.
- A pathway involving complex dimerization followed by protonation was energetically favorable but prone to monomer dissociation.
- A third mechanism, proceeding via diazene and hydrazine intermediates through alternating protonation, was determined to be the most energetically favorable.
Conclusions:
- The most energetically favorable pathway for the reaction of Fe(dmpe)2N2 with protons involves sequential protonation of nitrogen atoms leading to diazene and hydrazine.
- Understanding these mechanisms provides insights into catalytic nitrogen reduction processes.
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