Amygdalus Scoparia as a New Feedstock for Biodiesel Production
Bibliographic record
Abstract
Biodiesel is an attractive alternative fuel because of its nontoxicity and biodegradability which can be produced from vegeTable oils and animal fats. Finding a proper feedstock has an important role on the biodiesel characteristics and the price. Therefore in this research, amygdalus Scoparia oil was used as a cheap potential feedstock for biodiesel production which is widespread in arid regions in Iran. This native plant contains 58-60% oil which is consist of 62.81% oleic acid and 23.54% linoleic acid. Biodiesel was produced from transesterification of extracted oil in reaction with methanol in the presence of potassium hydroxide as a catalyst. The reaction variables used were methanol/oil molar ratio (4:1-7:1), catalyst concentration (0.25-1.5%), and reaction time (1-7 h). Optimal conditions for methanolysis were 1% KOH concentration, MeOH/oil of molar ratio 6:1 for a period of 7 h. The yield of biodiesel produced under optimal conditions were 97.32. Overall, amygdalus Scoparia kernel is a promising feedstock for biodiesel production and large cultivation will help to reduce the product cost.
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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 | 0.001 | 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) | 0.001 | 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".