Regio- and Stereoselective Subterminal Hydroxylations of <i>n</i>-Decane by Fungi in a Liquid–Liquid Interface Bioreactor (L–L IBR)
Bibliographic record
Abstract
Abstract This article may be the first report to describe the excellent regio- and stereoselective subterminal hydroxylations of n-alkane with microorganisms. Approximately 2000 fungal strains were screened for the regioselective hydroxylation of n-decane with a solid–liquid interface bioreactor, which is a microbial transformation device on an interface between an agar plate and an organic phase (n-decane). Although Beauveria bassiana ATCC 7159, a typical fungus having a strong and versatile hydroxylating ability, mainly produced a mixture of 2-, 3-, 4-, and 5-decanone regioisomers into a n-decane layer, Monilliela sp. NAP 00702 and Rhizopus oryzae R-38-8 typically accumulated 4- and 5-decanols into the n-decane layer, respectively. Although a small amount of 4- and 5-decanones were also produced, the regioselectivity at C-4 and C-5 positions of n-decane reached 99 and 90%, respectively. Furthermore, the hydroxylation of n-decane with Monilliela sp. NAP 00702 stereoselectively proceeded to afford almost 100% ee of (−)-4-decanol.
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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 | 0.000 | 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) | 0.000 | 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".