Silver Nanoparticles Supported on Covalent Organic Framework as a Catalyst for Carboxylative Cyclization with CO<sub>2</sub> for Synthesis of Tetramic and Tetronic Acids
Bibliographic record
Abstract
Covalent organic frameworks (COFs) serve as good heterogeneous ligands and show promise for CO 2 capture due to their persistent porosity, high surface area, fine thermal stability, and adjustable pore size. This paper describes a strategy for manufacturing tetramic and tetronic acids that makes use of a silver-based COF, Ag@TpDa, as a highly efficient and recyclable heterogeneous catalyst. There has been a spike of interest in employing metal-loaded covalent organic frameworks as reusable catalysts for the synthesis of important organic compounds in recent years. The catalytic efficiency of Ag@TpDa is investigated in the selective synthesis of tetramic and tetronic acids in the presence of 1 atm of CO 2 using unsaturated amines and alcohols as starting substrates. By integration of CO 2 into a varied variety of unsaturated amines and alcohols, the procedure provides moderate to high isolated amounts of tetramic and tetronic acids via the application of a singular catalyst. Notably, Ag@TpDa maintains consistent catalytic capability after six cycles, making it recoverable and reusable. A thorough theoretical research and accompanying tests are being conducted to determine the source of the catalyst’s remarkable selectivity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".