Effect of Camphor Incorporation on the Material and Antibacterial Properties of Soy Protein Isolate Films
Bibliographic record
Abstract
Seeking for green alternatives to synthetic plastics, soy protein based plastics are becoming quite a popular choice. Soy protein isolate (SPI) is a plant derived protein that holds fair film forming abilities. It demonstrates evenness of film surface, decent tensile strength and interacts easily with a wide range of additives. Additives are generally added to improve the material properties and antibacterial nature of the film. In this study, we have explored the effect of camphor incorporation on the material properties and overall performance of the film. SPI based films (having 7% SPI (w/v)) were prepared by solution casting method. The concentration of camphor was varied from 0.5 to 3% w/w of 7% SPI. The films prepared by camphor addition were characterized for their transmittance, Fourier Transform Infrared (FTIR) spectroscopy and mechanical properties. The FTIR spectra confirm the incorporation of camphor as a major change in the band intensity was seen compared to neat films. However, camphor addition made the films hydrophilic and a noticeable decrease in the tensile strength was seen. The water vapour transmission rate increased upon camphor addition as compared to neat SPI films. Nevertheless, camphor- SPI film was stable as very minimum leaching occurred during the study. Unlike the neat camphor solution (1-3% w/v), the camphor modified SPI films didn’t exhibit antibacterial activity against Listeria monocytogenes and Escherichia coli. Camphor was seen to significantly increase the antioxidant properties of SPI films.
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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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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".