Coatings role in the baby kiwi shelf life
Bibliographic record
Abstract
Baby kiwi, also called hardy kiwi (Actinida arguta) is native to East Asia and currently commercialized in USA, Canada, Chile, New Zealand and Europe; however, it is still relatively unknown to consumers.In recent years, baby kiwi has gained popularity due to its nutraceutical superiority over the well-accepted green kiwi and its ease of consumption -when ripe, hardy kiwi is suitable for direct consumption without peeling.Hardy kiwi is typically harvested at commercial maturity, so weight losses and pulp hardness are the most difficult parameters in postharvest management of the supply chain and the availability of fruits in the fresh market.This work was focused on the hardy kiwi 'Hortgem Rua ® ', marketed under the Nergi ® brand and cultivated in the Piedmont region of northern Italy.The aim was to evaluate the application of two different coatings, C1 (commercial formulation in the absence of amines, made from natural shellac dissolved in ethyl alcohol) and C2 (commercial formulation based on sucrose ester), in the maintenance of shelf life up to 21 days at 2 and 24°C.Qualitative analyses (weight loss, skin colour, texture profile analysis, soluble solid content and titratable acidity) were performed at harvest time (0 days) and every 3 days thereafter.The results indicate that the C1 coating was better for reducing moisture loss, maintaining pulp hardness and containing the evolution of soluble solid content throughout the shelf life at 24±1°C of 'Hortgem Rua ® '.However, there was no improvement in shelf life at 2±1°C.
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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 | 0.001 | 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".