Bio-Fe<sub>3</sub>O<sub>4</sub>-MNPs catalyzed green synthesis of pyrrolo[2,1-<i>a</i>]isoquinoline derivatives using isoquinolium bromide salts: study of antioxidant activity
Bibliographic record
Abstract
In this research, a novel, one-pot, efficient procedure with high yield for the synthesis of pyrrolo[2,1-a]isoquinoline derivatives using multi-component reaction of isoquinoline, alkyl bromides, and triphenylphosphine in the presence of Fe3O4-MNPs as catalyst under solvent-free conditions at room temperature is investigated. This study highlights an easy, simple, rapid, and clean method for the preparation of pyrrolo[2,1-a]isoquinoline derivatives. The Fe3O4-MNPs in these reactions were produced employing a green procedure by reduction of ferric chloride solution with pomegranate peel water extract. Additionally, antioxidant activity was studied for the some newly synthesized compounds such as 5a–5d using the DPPH radical trapping and reducing potential of ferric ion experiments and comparing the results with the results of synthetic antioxidants (2-tert-butylhydroquinone, TBHQ; butylated hydroxytoluene, BHT). As a result, compounds 5a–5d show trace DPPH radical trapping and excellent reducing power of ferric ion.
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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".