Enhancing water resistance of regenerated cellulose films with organosilanes and cellulose nanocrystals for food packaging
Bibliographic record
Abstract
Cellulose has been explored as potential alternative to traditional petroleum-based packaging materials, but its hygroscopic features lead to fast penetration of water and reduced mechanical properties of cellulose-based materials under humid and wet conditions. Chemical vapor deposition of organosilanes can incorporate hydrophobic moieties to overcome water sensitivity, but also decrease the strength of cellulose films. Herein, two commonly used organosilanes were selected to improve the water resistance of cellulose films, and cellulose nanocrystals were incorporated to compensate for the loss in mechanical strength. The results revealed that the films with dual modifications showed the unchanged tensile strength of around 57MPa when the environmental relative humidity increased from 0 to 60% and the highest wet strength of about 12MPa compared to the original and singly modified cellulose films. The water vapor permeability significantly decreased from 4.07 × 10−7 to about 3.3 × 10−7g·m−1·h−1·Pa−1 after the modification, and all the films could completely disintegrate within 14 days. Moreover, the cookies preserved by the modified cellulose films for 100 days showed similar weight gain (∼1.2%) and lower peroxide value (∼5.6meq/kg) than the ones covered by commercial plastic wrap. Therefore, this study presents a promising approach to develop cellulose films with enhanced water resistance for food packaging applications.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".