Production and stability of structured lipids from algal oils and capric acid
Bibliographic record
Abstract
This study aimed to incorporate capric acid (CA) into selected algal oils, namely arachidoinc acid single cell oil (ARASCO), docosahexaenoic acid single cell oil (DHASCO) and the OMEGA-GOLD oil rich in dcosahexaenoic acid (DHA) and dosapentaenoic acid (n-6 DPA). Response surface methodology indicated that under optimum conditions (12.3% enzyme, 45 degrees C, and 29.4 h) CA incorporation was 20.0% into ARASCO; (4.2% enzyme, 43.3 degrees C, and 27.1 h) 22.6% into DHASCO and (2.5% enzyme, 46.6 degrees C and 25.2 h) 20.7% into the OMEGA-GOLD oil. Stereospecific analysis indicated that in all oils examined CA was mainly located at the sn-1 and sn-3 positions of the resultant TAG molecules while the highly unsaturated fatty acids being primarily esterified to the sn-2 positions of the three oils. In all cases, enzymatically modified oils were more susceptible to oxidation than their unmodified counterparts.
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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".