Role of the Physical Elicitors in Enhancing Postharvest Antioxidant Capacity of Table Grape cv Redglobe (Vitis vinifera L.)
Bibliographic record
Abstract
Polyphenols, such as anthocyanins, are secondary metabolites produced in plants which can play an important health-promoting role considering their strong correlation with antioxidant capacity. The biosynthesis of these compounds generally increases as a response to biotic or abiotic stress, therefore, in order to achieve as high phenolic accumulation as possible, the interactive effects of storage conditions (temperature and time) and postharvest ultraviolet irradiation (UV-C) on total polyphenols (TPP) and total anthocyanins (TA) content, as well as oxygen radical antioxidant capacity (ORAC), in postharvest “Redglobe” table grape variety were investigated in 2011 vintage. Gathered findings showed that UV-C exposure ranging from 1 to 3 min (0.8-2.4 KJ m-2) positively influence the TA level (with an increase almost twice higher than the control) during a storage time longer than 48 h, independently from the storage temperature; while, with regard to TPP and ORAC, a progressive increment of their values (roughly from 2 to 4 folds higher than the control) up to 120 h of storage was observed, in particular in Redglobe grapes irradiated for 1 min and stored at 4 °C. Responding to the rising consumers needs to have foods that support and promote health, this research demonstrated that the postharvest simultaneous application of physical elicitors can lead to grapes with enhanced antioxidant properties, within normal conditions of market commercialization. The practical relevance of this finding is evident considering that grapes are economically the most important fruit species in the world and approximately 30% of its production is used as fresh fruit.
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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".