Distribution of Phenolic Components and Their Antioxidant Capacity in Strawberries
Bibliographic record
Abstract
Total phenolic content, phenolic composition, and total antioxidant capacity of neck and bottom parts of two strawberry cultivars, ‘Chambly’ and ‘LL0220-10’, were evaluated using the Folin-Ciocalteu method, high performance liquid chromatography, and ferric reducing/antioxidant power, respectively. A significant interaction (p < 0.05) was observed between examined parts and cultivars. The highest content of phenolics was detected in the bottom part of ‘Chambly’ when compared to its neck, while there was no difference between neck and bottom of ‘LL0220-10’. The most evident group was the anthocyanins accounting for 83.53% of the total phenolic content. These data are a step in establishing a correlation between fruit anatomy and its chemical composition, which could be useful in breeding new strawberry cultivars more resistant to diseases.
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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 | 0.001 | 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".