Stereoselective benzylic hydroxylation of ethylbenzene and propylbenzene using the mycelia of <i>Aspergillus flavus</i> MTCC-1783 and MTCC-1884
Bibliographic record
Abstract
The aim of this study was to provide syntheses of optically pure (R)-1-phenylethanol and (R)-1-phenylpropanol from ethylbenzene and propylbenzene, respectively, using the fungal mycelia of new fungal species, namely Aspergillus flavus MTCC-1783 and Aspergillus flavus MTCC-1884, as catalysts. The mycelia of A. flavus MTCC- 1783 and A. flavus MTCC-1884 were prepared by growing the fungal strains in liquid culture medium containing ethylmethylketone as the sole carbon source. The mycelia were suspended in potassium phosphate buffer pH 7.0. The suspensions of mycelia were used for the transformations of ethylbenzene and propylbenzene. Ethylbenzene and propylbenzene were converted to (R)-1-phenylethanol and (R)-1-phenylpropanol, in 100% and 99% ee, respectively. The mycelia of A. flavus MTCC-1783 and A. flavus MTCC-1884 can be used for the preparation of (R)-1-phenylethanol and (R)-1-phenylpropanol in 100% and 99% ee, respectively, from ethylbenzene and propylbenzene, respectively. The studies report convenient methods for the syntheses of optically pure isomers, (R)-1-phenylethanol and (R)-1-phenylpropanol, which are important chiral building blocks in the preparations of fine chemicals and pharmaceuticals. The reactions are ecofriendly, occur at 30 °C, and the time required was 24 h.
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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 | 0.000 | 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".