Synthesis of Epoxidized Canola Oil Using a Sulfated-SnO<sub>2</sub> Catalyst
Bibliographic record
Abstract
In the present investigation, a heterogeneous sulfated-SnO 2 catalyst was synthesized and used for the epoxidation of unsaturation present in the canola oil. The physicochemical properties were studied to measure the surface and bulk properties of prepared SnO 2 and sulfated-SnO 2 samples. Process optimization studies were performed for parameters such as catalyst loading, ethylenic unsaturation in canola oil to hydrogen peroxide molar ratio, ethylenic unsaturation in canola oil to acetic acid molar ratio, and temperature. Sulfated-SnO 2 demonstrated promising catalytic activity with 100% conversion of unsaturation in canola oil to epoxy canola oil in 6 h at optimum process conditions. Based on the experimental results and kinetic data, a Langmuir–Hinshelwood-Hougen-Watson type mechanism was proposed, and the reaction followed pseudo first order. Calculated energy of activation was 17.75 kcal/mol. The tribological properties of epoxy canola oil such as lubricity property in terms of wear scar length, kinematic viscosities, viscosity index, oxidative induction time, cloud point, and pour point were measured.
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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".