Applications of Nanostructured and Microstructured Materials in Postharvest Packaging of Fresh Fruits and Vegetables
Bibliographic record
Abstract
This chapter provides an overview of the recent developments in technologies related to active and intelligent packaging, focusing on those related to the exploitation of microstructured and nanostructured materials. In modified atmosphere packaging (MAP), a mixture of gases, instead of air, is sealed within a package to extend the shelf-life of the product. Fibrous non-wovens made from submicron fibers are ideal carriers for preservative agents. Such non-wovens can be produced easily using electrospinning, also known as electrostatic spinning. Ethylene promotes ripening and senescence in fruits. Therefore, during the storage of climacterics, it is desirable to remove the ethylene accumulated within the package headspace to delay product deterioration. The chapter reviews nanomaterial-based indicator systems that are potentially useful for MAP applications. Although nanotechnology holds many promises for the development of innovative packaging for fruits and vegetables, there are some concerns about their potential toxicity due to lack of toxicological data of nanomaterials.
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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) | 0.002 | 0.001 |
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".