Use of Essential Oils From Various Plants to Change the Fatty Acids Profiles of Lipids Obtained From Oleaginous Yeasts
Bibliographic record
Abstract
Abstract We studied the ability of seven essential oils to alter the fatty acid composition of lipids produced by an oleaginous yeast Rhodosporidium toruloides . All of the essential oils, except thyme, significantly increased the stearic acid content of the lipids. The amount of essential oils in the media determined the fatty acid composition obtained. Subsequently, we studied the effect of the major monoterpenes present in these essential oils. When R. toruloides was grown on limonene, a major monoterpene in orange essential oil, the composition of lipid obtained was found to be quite similar to natural orange essential oil. This proved that limonene has a major role in the changes in fatty acid profiles of the lipids. The effect of orange essential oil on another oleaginous yeast, Cryptococcus curvatus , was also carried out. Although the effect of the essential oil on the fatty acid composition and biomass (cell mass) was similar for both these two yeasts, the reduction of the activity of some enzymes involved in the metabolic pathways was quite different. From these results, it can be concluded that the effect of essential oils differs with species and it is possible to produce lipids with alternate fatty acid profiles suitable for different applications and with good market value.
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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".