Incorporation of Silver Nanoparticles for Improvement of Antibacterial and Fruit Preservation Properties of Pectin/Carboxymethyl Cellulose Packaging Film Derived from Grapefruit Peels
Bibliographic record
Abstract
Abstract The study focuses on enhancing the antibacterial properties of packaging films derived from Pectin and Carboxymethyl Cellulose (CMC) by incorporating silver nanoparticles (AgNPs). Pectin and CMC were sourced from grapefruit peels to utilize agricultural by‐products and introduce sustainable alternatives to petroleum‐based packaging films. A comprehensive characterization of the films was conducted to assess their morphology, functionality, and physical/mechanical attributes. The Pectin/CMC/AgNPs composite exhibits superior mechanical properties, achieving a peak tensile strength of 33.01 MPa and an elongation at a break of 22.93 %. The antibacterial efficacy against Escherichia coli ( E. coli ) and the Bacillus subtilis ( B. subtilis ) strains of Pectin/CMC and Pectin/CMC/AgNPs films was examined. In addition, the preservation efficacy of green grapes using those films was evaluated over 10 days, focusing on maintaining grape weight, organic acid, and vitamin C content. Results demonstrate that all films possess notable mechanical durability, with the Pectin/CMC/AgNPs film demonstrating superior antibacterial activity. Green grapes preserved with the Pectin/CMC/AgNPs film exhibit the highest fruit weight retention, and the highest maintenance in acid, and vitamin C content, underscoring the remarkable enhancement achieved by incorporating AgNPs.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".