Synthesis of nano-film from nanofibrillated cellulose of banana pseudostem (Musa spp.) to extend the shelf life of tomato
Bibliographic record
Abstract
A nano-film was developed using nano-fibrillated cellulose (NFC) obtained from banana (var. Poovan) pseudostem. The NFC was prepared by alkali treatment followed by bleaching and acidification, as described and characterized in the authors’ previous paper. The NFC was used as base material for the development of nano-film. The nano-film was prepared via solvent casting with NFC (4%), polyvinyl alcohol (5%), and polyacrylic acid (5%) at a v/v ratio of 5:8:1. The nano-film was characterized using ultraviolet-visible (UV-VIS) spectroscopy, Fourier transform infrared (FT-IR), thermal gravimetric analyzer, scanning electron microscopy (SEM), gas permeability tester (GPT), texture profile analyzer, and digital thickness gauge meter. The data showed that the developed nano-film was UV protectant, possessed strong cross-linking, had high oxygen barrier capacity, was thermally stable up to 356 °C, and had high tensile strength than conventional film. To assess the protective quality of developed nano-film, tomato fruits were covered, and the shelf life was determined using physiological and biochemical attributes. The study revealed that nano-film developed from NFC possessed tomato preserving capacity for 15 days under ambient storage condition. Overall, the data suggested that banana fibres could be a potential source of NFC to develop biodegradable nano-film.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".