The Mechanism of Efficient Asymmetric Transfer Hydrogenation of Acetophenone Using an Iron(II) Complex Containing an (<i>S</i>,<i>S</i>)-Ph<sub>2</sub>PCH<sub>2</sub>CH═NCHPhCHPhN═CHCH<sub>2</sub>PPh<sub>2</sub> Ligand: Partial Ligand Reduction Is the Key
Bibliographic record
Abstract
On the basis of a kinetic study and other evidence, we propose a mechanism of activation and operation of a highly active system generated from the precatalyst trans-[Fe(CO)(Br)(Ph(2)PCH(2)CH═N-((S,S)-C(Ph)H-C(Ph)H)-N═CHCH(2)PPh(2))][BPh(4)] (2) for the asymmetric transfer hydrogenation of acetophenone in basic isopropanol. An induction period for catalyst activation is observed before the catalytic production of 1-phenethanol. The activation step is proposed to involve a rapid reaction of 2 with excess base to give an ene-amido complex [Fe(CO)(Ph(2)PCH(2)CH═N-((S,S)-C(Ph)H-C(Ph)H)-NCH═CHPPh(2))](+) (Fe(p)) and a bis(enamido) complex Fe(CO)(Ph(2)PCH═CH-N-(S,S-CH(Ph)CH(Ph))-N-CH═CHPPh(2)) (5); 5 was partially characterized. The slow step in the catalyst activation is thought to be the reaction of Fe(p) with isopropoxide to give the catalytically active amido-(ene-amido) complex Fe(a) with a half-reduced, deprotonated PNNP ligand. This can be trapped by reaction with HCl in ether to give, after isolation with NaBPh(4), [Fe(CO)(Cl)(Ph(2)PCH(2)CH(2)N(H)-((S,S)-CH(Ph)CH(Ph))-N═CHCH(2)PPh(2))][BPh(4)] (7) which was characterized using multinuclear NMR and high-resolution mass spectrometry. When compound 7 is treated with base, it directly enters the catalytic cycle with no induction period. A precatalyst with the fully reduced P-NH-NH-P ligand was prepared and characterized by single crystal X-ray diffraction. It was found to be much less active than 2 or 7. Reaction profiles obtained by varying the initial concentrations of acetophenone, precatalyst, base, and acetone and by varying the temperature were fit to the kinetic model corresponding to the proposed mechanism by numerical simulation to obtain a unique set of rate constants and thermodynamic parameters.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".