Recent advances in self‐healing materials for food packaging
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Food packaging materials are often inevitably and imperceptibly damaged during the transportation, handling, and storage, and the disruption of their integrity poses a challenge to food preservation. Food packaging materials with self‐healing capability can automatically repair the damaged areas and reconstruct original properties to avoid degradation of food quality and loss of nutrients. Various self‐healing materials based on dynamic covalent bonds and/or dynamic non‐covalent interactions have been developed and applied in food packaging in the forms of films and coatings at laboratory scale, and more efforts are required for the commercialization of these novel smart packaging materials. This is the first review to summarize the recent progress in the preparation of self‐healing packaging materials through different mechanisms, compare the self‐healing efficiency under different conditions, and highlight the potential applications of self‐healing films and coatings with recoverable mechanical and barrier properties and other functionalities (e.g., antimicrobial and anti‐fogging capacities). Finally, the future opportunities and challenges of applying self‐healing materials in food packaging are described.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it