Nanoencapsulation and Nanodelivery Through Food Packaging
Bibliographic record
Abstract
Nanoencapsulation is the process of enclosing a solid, liquid, or gaseous core material inside a wall material to form nanosized encapsulated materials. Nanoencapsulated materials are preferred in food-packaging applications not only due to their ability to enhance the properties of the packaging material but also to extend the shelf life and preserve the natural characteristics (flavor, color, aroma, and texture) of food and prevent the infestation by insects, rodents, and microorganisms of the food material. This chapter mainly focuses on the application of nanoencapsulated components in the food-packaging sector with an emphasis on active and intelligent packaging. Detailed discussion of nanoencapsulated materials in perishable food-packaging and grain-storage applications are also provided. An overview of the health and environmental impacts of the nanoencapsulated materials is included to facilitate a better understanding of the subject.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.004 | 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 teacher head, 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".