Application and Synthesis of [Ru(CH3P(CH2PPh2)3)(CH3CN)3](OTf-)3 as a Catalyst for the Selective Hydrodeoxygenation of Biomass-Derived Substrates in Aqueous Acidic Media
Bibliographic record
Abstract
The goal to replace chemicals from fossil resources and increased environmental consciousness has focused research on the development of green processes to obtain high value and low volume chemicals from biomass. The use of solvents such as water has necessitated the development of soluble and robust homogeneous catalysts to maintain activity in aqueous conditions. This work outlines the synthesis of a molecular ruthenium pre-catalyst with the cationic tridentate hetero-triphos ligand [CH3P(CH2PPh2)3](OTf-), first described by Guenther et al. in 2010. Comparison of bond distances is performed between previously synthesized triphos and hetero-triphos containing complexes to the novel complexes presented in this work, to identify possible predictors of reactivity. Furfuryl acetate, a non-edible biomass derived platform chemical, was chosen as the substrate to evaluate the catalytic activity of [Ru(CH3P(CH2PPh2)3)(CH3CN)3](OTf-)3 as this will also allow for comparison of activities between previous works. Valuable products were identified and their yields quantified, with the best reaction conditions (175 °C, 0.1 mol% catalyst, 250 mM substrate) giving 2-methylfuran (54%), 1,4-pentanediol (32%) and cyclopentanol (5%). The saturation concentration of the complex in D2O was found to be 0.001 mM, indicating that high solubility in water will continue to be a challenge for the triphos series of catalysts.
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How this classification was reachedexpand
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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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.
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 teacher head, 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".