Assessment of the Antioxidant Capacity and Oxidative Stability of Esterified Phenolic Lipids in Selected Edible Oils
Bibliographic record
Abstract
The research work was aimed at the determination of the antioxidant capacity (AOC) and the oxidative stability of phenolic lipids (PLs), obtained by lipase-catalyzed transesterification of phenolic acids (PAs) with selected edible oils (EOs), including flaxseed (FSO), fish liver (FO), and krill (KO) oils. The statistical analyses (Tukey's test at P < 0.05) revealed that the difference in AOC between that of the esterified FSO (EFSO) and the esterified krill oil (EKO) containing PLs and their control trials of EOs was significant (P < 0.05). To evaluate the storage stability, the EOs and their esterified products were subjected to 2 oxidation treatments. The experimental findings showed that the esterified EOs had higher oxidative stability when they were subjected to light, oxygen, and agitation at 50 °C as compared to that of the EOs; however, only the esterified fish oil (EFO) showed a significant difference in its peroxide value, when the esterified EOs were placed in the dark at 25 °C. Overall, the phenolic mono- and diacyglycerols present in the EOs have shown to be potential antioxidants in improving the oxidative stability of the oil and enhancing its AOC.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".