Green and sustainable one-pot synthesis of novel tetrahydropyridines using [Et3NH][HSO4] as an ionic liquid catalyst
Bibliographic record
Abstract
Through the implementation of a simple, environment friendly one-pot multicomponent reaction with 1 mmol of methyl acetoacetate, 2 mmol of different substituted aromatic aldehydes, and 2 mmol of different substituted aromatic anilines in the presence of triethylammonium hydrogen sulfate [Et3NH][HSO4] bronsted acid as an ionic liquid catalyst and Ethanol: water as a green solvent at 60°C temperature. We have developed an affordable and dynamic procedure for the synthesis of novel, medicinally essential tetrahydropyridine derivatives. One-pot multicomponent synthesis is an energetic topic in heterocyclic chemistry due to its vital advantages of simple reaction process, high atom economy, low cost, less amount of waste generation, and simple workup procedures, which make this process economically productive for industrial applications. The final compounds were confirmed via FTIR, 1H-NMR, and 13C-NMR spectroscopy and were in contrast with their reported methods.
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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 | 0.001 |
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".