Hydrogenation of Carbon Dioxide Catalyzed by Ruthenium Trimethylphosphine Complexes: A Mechanistic Investigation Using High-Pressure NMR Spectroscopy
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Bibliographic record
Abstract
Complex cis -(PMe 3 ) 4 RuCl(OAc) ( 1 ) acts as a catalyst for CO 2 hydrogenation into formic acid in the presence of a base and an alcohol cocatalyst. NMR spectroscopy has revealed that 1 exists in solution in equilibrium with fac -(PMe 3 ) 3 RuCl(η 2 -OAc) ( 2 ), [(PMe 3 ) 4 Ru(η 2 -OAc)]Cl ( 3a ), and free PMe 3 . Complex 2 was found to be a poor CO 2 hydrogenation catalyst under the conditions of catalysis used for 1 . Complex 3a can be prepared by adding certain alcohols, such as MeOH, EtOH, or C 6 H 5 OH, to a solution of 1 in CDCl 3 . The chloride ion of 3a was exchanged for the noncoordinating anion BPh 4 − or B(Ar F ) 4 − (B(Ar F ) 4 = tetrakis(3,5-bis(trifluoromethyl)phenyl)borate) to produce [(PMe 3 ) 4 Ru(η 2 -OAc)]BPh 4 ( 3b ) and [(PMe 3 ) 4 Ru(η 2 -OAc)]B(Ar F ) 4 ( 3c ). Complexes 3b and 3c were found to be as efficient as 1 in the catalytic hydrogenation of CO 2 to formic acid in the presence of an alcohol cocatalyst. In contrast to 1, 3b and 3c continued to show high catalytic activity in the absence of the alcohol cocatalyst. High-pressure NMR spectroscopy was used to investigate the mechanism of CO 2 hydrogenation via 3b, c in the presence of base. The observations were inconsistent with the previously reported phosphine-loss mechanism; a new mechanism is proposed involving an unsaturated, cationic ruthenium complex of the form [(PMe 3 ) 4 RuH] + ( B ) as the active catalyst. The role of the base in this system includes not only trapping of the formic acid product but also initiation of the catalysis by aiding the conversion of 3b, c to B . Crystallographically determined structures are reported for complexes 2, 3b, {[(PMe 3 ) 3 Ru] 2 (μ-Cl) 2 (μ-OAc)}BPh 4, and {[(PMe 3 ) 3 Ru] 2 (μ-Cl) 3 }Cl.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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