Novel formation of isoxazoline <i>N</i> -oxide in addition to Michael adduct from the reaction of β-nitrostyrenes with 2-methoxyfuran — Experimental and theoretical studies
Bibliographic record
Abstract
2-Methoxyfuran reacts with β-nitrostyrenes to give Michael adducts. Interestingly, isoxazoline N-oxides were obtained in the reactions with β-nitrostyrenes possessing additional electron-withdrawing groups [COPh (2f) and CO 2 Et (2g)]. (Z)-Nitrostyrene (2g) gives trans-isoxazoline (4g) and (E)-nitrostyrene (2f) leads to the cis-form product 4f. We have used theoretical methods to investigate the mechanism and to probe the regio- and stereo-selectivity observed in the rearrangement and the Michael reactions. To account for the selectivity observed in these reactions, we examined the Fukui functions and located the transition states (TS) using density functional theory (DFT) calculations at the B3LYP/6–31G* level. The first step involves a nucleophilic attack by the α-carbon atom (C4) of the furan ring on the vinyl C-atom (C5) of the nitrostyrene part to give a zwitterionic intermediate (IN1). Fission of the C–O bond of the furan ring in the intermediate and ring closure via the oxygen atom (endo-O atom) of the nitro group gives the isoxazoline N-oxide. Alternatively, the intermediate (IN1) may be transformed into the Michael adduct by an intramolecular proton transfer mediated by the formation of a four-membered transition-state structure. The potential-energy barriers for these reactions had the following values: 5.1 kcal/mol for 2f and 17.0 kcal/mol for 2g′ (CO 2 Me) at the rearrangement step, and 41–49 kcal/mol for the proton-transfer step. The solvent effect in CHCl 3 stabilized the electrophilic attack by 1–14 kcal/mol. DFT analysis of these reactions is in good agreement with the experimental results.
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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) | 0.002 | 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".