Quality Indices, Phenolic Compounds and Sensory Evaluation of Flavored Olive Oil
Bibliographic record
Abstract
In this study, the effect of adding some aromatic plants (garlic, rosemary, thyme, and hot-red pepper) on the quality and organoleptic properties of flavored olive oil extracted from the olive fruits Maraqi variety are studied after adding aromatic plants at a concentration of 2%. Acidity, peroxide value, K232, K270, sensorial attributes, oxidative stability, and phenolic contents had been monitored. Also, phenolic compounds are identified in the flavored and unflavored olive oil samples. These results demonstrated that the aromatic plant had enhanced the flavored olive oil stability; the levels of addition of aromatic plants could be distinguished by the taster's sensory attributes of flavored olive oil. As the plan of the experiment includes process preparation and consumer preference, it is possible to apply the obtained results to the production of flavored olive oil. The producers will gain a new product with more added values due to the nutritional and antioxidant strength of the aromatic plants.
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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) | 0.001 | 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".