A Novel Approach to Protect Brazil Nuts from Lipid Oxidation: Efficacy of Nanocellulose–Tocopherol Edible Coatings
Bibliographic record
Abstract
High levels of unsaturated fatty acids in Brazil nuts compromise their sensory quality through lipid oxidation. To mitigate this reaction, it is crucial to package nuts under a vacuum and in aluminate packaging. An alternative method is the application of an edible coating with antioxidant properties. This study aimed to develop an edible coating composed of carboxymethylcellulose and sorbitol, physically reinforced with nanocellulose, and chemically fortified with tocopherol. The edible coating was characterized based on its physical properties, mechanical strength, biodegradability, optical light transmission properties, color parameters, and water vapor permeability. Formulations CC5 (Carboxymethyl cellulose (CMC) + sorbitol + 5% nanocellulose) and CCT5 (CMC + sorbitol + tocopherol + soy lecithin + 5% nanocellulose) showed enhanced mechanical strength. The combination of nanocellulose with tocopherol in formulations CCT3 (CMC + sorbitol + tocopherol + soy lecithin + 3% nanocellulose) and CCT5 developed superior barriers to visible and ultraviolet light, a desired characteristic for coatings intended to increase the shelf life of Brazil nuts. The nuts coated with CC5 and CCT3 showed the lowest PV values at the end of the accelerated oxidation test conducted at 60 °C.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".