Catalytic transesterification of glycerol with dimethyl carbonate to glycerol carbonate with <scp> Co <sub>3</sub> O <sub>4</sub> </scp> nanoparticle incorporated <scp>MCM</scp> ‐41 derived from rice husk
Bibliographic record
Abstract
Abstract A rice husk‐derived MCM‐41 catalyst has been synthesized, and active metal Co 3 O 4 nanoparticles were incorporated. The synthesized MCM‐41 derived from rice husk exhibited highly ordered p6mm hexagonal symmetry. The catalytic activity of the prepared catalyst was investigated for glycerol carbonate (GLc) synthesis through transesterification of glycerol (GLy) with dimethyl carbonate (DMC). Experimentally, it was found that 5 wt.% cobalt incorporated MCM‐41 activated at 400°C showed a higher yield of GLc, 60.2%, due to its optimum basicity. Approximately, 98.7 ± 1.2% GLy conversion and 94.1 ± 0.7% GLc yield was achieved with the batch reactor at adjusted conditions: a molar ratio of DMC‐to‐glycerol = 3, catalyst dosage = 6 wt.% (based on glycerol mass), reaction temperature = 90°C, and reaction time = 2 h. The transesterification reaction kinetics were also studied using the ODE 15s tool in MATLAB. The catalyst's activation energy was calculated as 58.2 ± 2.4 kJ/mol.
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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".