Distillation Assisted by Microwave for Extracting Essential Oil from Java Cananga Flowers
Bibliographic record
Abstract
Cananga oil is one type of essential oil that called etheric oil or light oil. To increase the production of canangaoil, it is need to improve distillation methods and operating conditions, so that extraction process can producecananga oil more efficient. The aims of this research are to study several factors that influence the distillationmethods assisted by microwave, i.e.: flowers conditions, extraction time, mass of material, and microwave power.The experiment was conducted in a round bottom flask distiller that was placed inside a microwave oven andequipped with a Liebig condenser. The operating variables are: flowers conditions (fresh, wilted, chopped). Thecontent of distiller (100, 150, 200 gr). The results of this research shows that the yield of fresh flowers (0.6251 -1.1965%) were higher than wilted flowers (0.5391 - 1.0755%). The mass ratio of material by volume ofdistillation flask influences on yield obtained. The denser of material, the less of oil yield be obtained. The oilyield increase with time extraction, microwave power and temperature. The distillation assisted by microwave ismore efficient than conventional distillation, because we can increase the oil yield with shorter extraction time.The quality of cananga oil obtained by distillation assisted by microwave is conforming to quality standard ofIndonesian (SNI) and Essential Oil Association (EOA).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".