Optimization of extraction of antioxidants from aromatic herbs and their synergistic effects in a lipid model system
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Response surface methodology was applied to improve the polyphenol extraction process of rosemary, oregano, sage, and thyme. Aqueous ethanol (EtOH 50%) rendered the highest polyphenol extraction yield for all tested samples. Based on their total phenolic contents, rosemary, oregano, and thyme were selected for evaluation of their scavenging activities towards DPPH radical and ABTS radical cation and application in an oil model system. All extracts decreased the production of primary oxidation compounds during Schaall oven test storage. The induction period, as evaluated by the Rancimat test, was also reduced. There was an agreement between both oil model system assays, and rosemary extract showed the highest antioxidant capacity, followed by thyme and oregano. A centroid simplex design was used to evaluate the synergistic effect among the samples. Rosemary was able to play a synergistic effect when combined with thyme and oregano, or when used in binary mixtures.
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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 it