Microwave Irradiation Mediated Synthesis of Quinazolinones Over Amberlyst‐15 Ion‐Exchange Resins
Bibliographic record
Abstract
Abstract Microwave chemistry has become a well‐established technique with several benefits interms of reaction rate and manufacturing yield, leading to energy savings assupported by numerous commercial applications. Fe@AR catalyst offers several advantages asa solid acid catalyst, including enhanced acidity from stronger Lewis acidsites, improved thermal, and higher selectivity in organic reactions. The quinazolinone skeleton possesses significantpharmacological and therapeutic properties, including antibacterial, analgesic, anti‐inflammatory, antifungal, antimalarial, central nervous system depressant, anticonvulsant, anti‐parkinsonian, anticancer, etc. In the present study, quinazolinones and their derivatives have been synthesized using Amberlystresin (A‐15) and Fe³⁺‐modified Amberlyst (Fe@AR) as solid acid catalysts undermicrowave irradiation. Fe@AR catalyst has been characterized using various analytical techniques, including XRD, FT‐IR, SEM‐EDX, and TGA. The studied catalysed cyclocondensation reaction for the 2,3‐dihydroquinazolines(2,3‐DHQZs) synthesis, is monitored by TLC. One novel derivative has been synthesized and was confirmed by 1H NMR, 13C NMR andFT‐IR spectroscopy. The key benefits of the present protocol are their quick reaction times, simple workup, and, their environmental friendliness.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".