Quality Retention and Shelf-life Extension in Mediterranean Cucumbers Coated with a Pectin-based Film
Bibliographic record
Abstract
Edible coating is a simple and inexpensive concept for extending post-harvest life of fruits and vegetables. In this study, cucumbers were coated with different pectin-based emulsions to preserve the fruit quality and extend the post harvest shelf life. The formulations consisted of pectin, beeswax, sorbitol, water, and an emulsifying agent. By monitoring the physiological and quality parameters, the coating effects on the storability of cucumber fruits at 23°C and 40% RH (display cabinet), and 12°C and 85% RH (cold room) were determined. The parameters included weight loss, respiration rate, firmness, color, soluble solids and chlorophyll content. The coating markedly reduced weight loss and respiration rate at both temperatures. In addition, the coating reduced loss of firmness, color, chlorophyll and total soluble solids, and extended the storage life of cucumber fruits at both storage conditions.
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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".