Investigations of In vitro Digestibility of Proteins Bound to Food Colors
Bibliographic record
Abstract
Colorants either synthetic or natural are commonly added to a variety of food systems to make them attractive and acceptable for the consumers. Our previous publications on Carmoisine, Allura Red, Sunset yellow and the present study showed that food colorants such as Erythrosine, Amaranth, Tartrazine, Quinoline yellow, Brilliant Blue bind with the proteins in variety of the food environments and the protein color complexes are digested by the proteolytic enzyme. The present study elaborates the active sites of the proteins involved in binding with various functional groups of food colors and on these sites modifies the tryptic digestibility of the different proteins. Colors show strong binding capacity with proteins which may block the active site for hydrolysis by the enzyme. The effect of the tryptic digestibility on color complexes of the protein such as the BSA a high molecular weight and nisin the low moleculer weight proteins are explored. The result shows the different color binding with protein have not similar effect on digestibility but in all cases digestibility decreases significantly as compared with blank.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".