Enhanced properties of novel canola meal nanocomposite packaging films reinforced with cellulose nanocrystals and glycidyl methacrylate
Bibliographic record
Abstract
To mitigate environmental pollution caused by the excessive use of petroleum-based products and enhance the utilization of canola meal (CM), a novel nanocomposite film was developed by modifying CM with Glycidyl methacrylate (GMA) and Cellulose nanocrystals (CNCs). CNCs, known for their high surface area, specific strength, low density and the ability to form hydrogen bonds, serve as effective reinforcing agents in various materials. GMA containing both methacrylic and epoxy groups, modifies rapeseed protein isolate, yielding conjugates with different grafting degrees. The nanocomposite film was fabricated using a combination of wet casting and heat compression, followed by comprehensive characterization. showed that incorporating GMA improved the compactness of the film’s fracture surface. Thermal stability of CM nanocomposite films significantly increased when both CNCs and GMA were incorporated, with maximum tensile strength obtained at 0.5GMA-5CNC. Experimental results also indicated that GMA and CNCs formed covalent bonds with proteins and reacted with fibers in the CM matrix, creating new ordered structure within the nanocomposites. The 0GMA-5CNC film exhibited strong DPPH radical scavenging activity, while blueberries wrapped in 0.5GMA-5CNC experienced minimum weight loss. In addition, the CM composite film demonstrated excellent disintegration under composting conditions. Overall, this study highlights the potential of CM nanocomposite film as a sustainable alternative to traditional petroleum-based products. • Canola meal (CM) was effectively utilized to create a novel composite film through the processes of wet casting and heat compression, incorporating glycidyl methacrylate (GMA) and cellulose nanocrystals (CNCs). • The mechanical property of modified CM composite was increased by incorporating CNCs and GMA. • The incorporation of GMA and CNCs significantly improved the thermal stability of CM composite films, demonstrating potential for advanced applications. • The addition of CNCs enhanced the antioxidant (DPPH) activity of the CM composite film. • Modified CM composite film exhibits strong biodegradation, making it a fully biodegradable alternative to conventional materials.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".