Conversion of waste‐soap and soap‐like materials into diesel and gasoline by catalytic pyrolysis using virgin soap as model
Bibliographic record
Abstract
Abstract In this work, soap was converted into a hydrocarbon‐rich product through catalytic pyrolysis using cement as a catalyst. The intention was to develop a new economical and effective method for preparing diesel and gasoline from soap waste in food processing. The optimum conditions for pyrolysis were investigated in a batch process under static conditions at different reactor temperatures, catalyst amounts, and reaction durations. The resulting oil product was analyzed using GC‐FID, GC‐MS, and FTIR. The best yield occurred at a reaction temperature of 400 °C for 60 min with 0.3 g/g (30 mass%) catalyst in soap waste, which resulted in 0.71 g/g (71 mass%) hydrocarbons with small fractions of pyran, ketone, and oxygenated compounds of mixed functional groups. The resulting liquid pyrolysate mainly consisted of diesel‐like oil with a small fraction of gasoline and some oils that had boiling‐point temperature ranges similar to kerosene.
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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) | 0.000 | 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".