Heat sealable regenerated cellulose films enabled by zein coating for sustainable 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
The development of green packaging materials is requested due to the growing concerns about plastic waste. As the most abundant natural polymer on earth, cellulose can be dissolved and regenerated to make transparent films. However, cellulose is not a thermoplastic, so cellulose films are usually sealed by an adhesive for packaging applications. Herein, this study aimed to endow regenerated cellulose (RC) films with heat sealability by coating a layer of zein, and the mechanical and barrier properties of the composite cellulose/zein films were characterized. The results revealed that, with a thin zein coating, all the composite films were able to be sealed by a tabletop impulse sealer without the need for high temperature or high pressure and showed larger tensile strain and better water vapor and oxygen barrier properties compared to the RC films. Moreover, it was worth noting that the blueberries packed in the heat-sealed cellulose/zein bags were protected from oxidation and spoilage during a 12-day storage period and were comparable to the ones packed by Ziploc®. Thus, this work demonstrates a facile way to fabricate cellulose-based packaging materials that are heat sealable and have potential applications in sustainable food packaging.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.006 |
| 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 it