Fabrication Of Butterfly Pea Flower Anthocyanin-Incorporated Colorimetric Indicator Film Based On Gelatin/Pectin For Monitoring Fish Freshness
Bibliographic record
Abstract
Novel visual intelligent pH-indicator film was prepared from the eggshell membrane- gelatin, pectin, and anthocyanin pigment from butterfly pea flower (BP) (Clitoria ternatea). It was used as a real-time pH indicator for predicting food freshness. Eggshells are useful biowaste, gelatin has been extracted from the eggshell membrane and was used for fabricating the film. The Anthocyanin content of BP extract was 198.3 mg g−1. The film's surface morphology and chemical nature were estimated using a Scanning electron microscope, Fourier transform infrared spectroscopy, and X-ray diffraction technique. The film was pH responsive and exhibited color variation ranging from shades of red, purple, blue, green, and yellow at different pH (1-13). The applicability of the developed pH- indicator film was studied on fresh Tilapia fish by monitoring its deterioration for a specific time period. The film showed a visible color change after seven days of storage at 4ºC from dark blue, bluish-grey to olive, and deep green. Change in the total volatile basic nitrogen (TVB-N) content and pH change had an effect on the color response of the film. The findings demonstrated that the fabricated pH indicator film proved to be pH sensitive and could be used to monitor fish freshness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".