High Barrier Sustainable Paper Coating Based on Engineered Polysaccharides and Natural Rubber
Bibliographic record
Abstract
The demand for paper-based packaging solutions as an alternative to incumbent single-use petroleum-based polymers for food packaging applications is ever-increasing. Paper-based packaging enables direct options for recycling and, in the case of inadvertent leakage, avoids the formation of microplastics through natural biodegradation. However, typical paper-based formats do not offer sufficient barrier performance which meets these sustainability objectives. Replacement of the plastic film with paper formats will reduce product shelf-stability and increase food wastage from farm to table. This work employed enzymatically polymerized microcrystalline glucan (MCG) as a functional additive in natural rubber (NR)-based coating formulations. Typically, NR coating formulations containing 0–50 wt % MCG were fabricated at a constant coating thickness with a constant solid content. The influence of the MCG on the wet and dry strength, rheology, adhesion strength, and barrier properties such as moisture, oxygen, and grease barrier of the formulated coatings was investigated. Also, further study on the effect of solid content and light crosslinking on the barrier properties was conducted. The optimized NR/MCG coating displayed promising mechanical properties as well as oxygen and oil barrier properties. Furthermore, light crosslinking of the NR/MCG coating enhances the barrier properties of the paper coating. Overall, the formulated NR/MCG paper coatings exhibited excellent wet strength in conjuncture with outstanding barrier properties, indicating their potential as a sustainable alternative in the food packaging industry.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".