Synthesis of acrylonitrile functionalized hydroxymethylfurfural derivatives with Mg(OH) <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow/> <mml:mn>2</mml:mn> </mml:msub> </mml:math> under solvent-free conditions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hydroxymethylfurfural (HMF) derivatives that contain an acrylonitrile group result in interesting scaffold molecules that can be obtained from biomass. However, the synthesis of these types of molecules has not been extensively studied. In this study, we investigated the catalytic activity of Mg(OH) 2 and MgO materials. Specifically, we evaluated the Knoevenagel reaction between HMF and malononitrile as a test reaction under solvent-free conditions. The fresh and used catalysts were evaluated using various techniques. Our results indicate that the combination of synthesis methods influences the crystalline, basic, and textural properties of the catalysts. We found that water plays an essential role in obtaining high yields. By using this simple and inexpensive method, we were able to achieve yields near 90% in short reaction times ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo><</mml:mo> </mml:math> 30 min).
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.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 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 it