Development of Biochar-based Catalyst for Transesterification of Canola Oil
Bibliographic record
Abstract
Heterogeneous catalysts bearing sulfonic acid groups were prepared using biochar as the carbon support. Biochar samples were first treated with KOH before carbonization at different temperatures (450, 675, and 875 °C) then sulfonated using fuming H 2 SO 4 at 150 °C for 15 h. The sulfonated catalysts were characterized using BET surface area and porosity, elemental analysis, total acid density, FT-IR spectroscopy, X-ray diffraction, and thermogravimetric analysis. Catalytic performance was determined via the transesterification of canola oil with methanol. The reaction yield was found to be dependent on both catalyst surface area and total acid density, suggesting that the maximum yield would be obtained for a catalyst prepared from char carbonized between 675 and 875 °C. FT-IR spectra and XRD patterns reveal that higher carbonization temperatures cause an increasing reorientation of the biochar’s carbon sheets toward a more graphite-like structure, decreasing the total acid density despite the increasing surface area. Catalyst reusability was poor under high temperature/pressure conditions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".