Compositional Characteristics and Antioxidant Components of Cherry Laurel Varieties and Pekmez
Bibliographic record
Abstract
ABSTRACT: Cherry laurel is a popular fruit in the Black Sea region of Turkey. Two native cherry laurel varieties, namely kiraz and findik, together with pekmez (made from concentrated juice of the kiraz variety by boiling/ heating) were examined for their proximate composition, antioxidant activity, total anthocyanins, phenolics, and carotenoids, as well as phenolic acids and sugar composition. A linear correlation existed between antioxidant activity and total content of phenolics (r 2 = 0.99). The antioxidant activity and total content of phenolics were the highest in pekmez, followed by findik, and kiraz. A significant (P < 0.01) proportion of anthocyanins and carotenoids was lost during heat processing in the production of pekmez. Ten phenolic acids (free and bound) and 6 sugars were identified among samples. These results suggest that cherry laurel varieties and pekmez serve as a good source of natural antioxidant, which could potentially be used in food and nutraceutical supplement formulations.
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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 | 0.000 | 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 | 0.001 |
| 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 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".