Importance of Non-Triacylglycerols to Flavor Quality of Edible Oils
Bibliographic record
Abstract
Edible oils from vegetable and animal sources are composed primarily of triacylglycerols and to a lesser extent minor components referred to as unsaponifiable matter. During processing of oils and as a result of reactions in production of structured and other novel lipids many of these components are removed and hence the relative stability of the preparation is compromised. Presence of chlorophyll in the oils, both endogenous and in the additives, resulted in enhanced production of odor-active aldehydes under fluorescent light. However, simultaneous removal of non-triacylglycerol components reduced the stability of oils under Schaal oven conditions. In enzymic acidolysis of algal oils with capric acid we found that the resultant oils were much less stable than their unaltered counterparts despite a decrease in the degree of unsaturation of the products. Experiments carried out in the absence of any enzyme showed that removal of endogenous antioxidants was indeed responsible for this phenomenon.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".