Preparation of Egg White Peptide and Its Growth-Promoting Activity for Lactobacillus bulgaricus
Bibliographic record
Abstract
Egg white was hydrolyzed by Alcalase to prepare egg white peptide in this study. The optimal hydrolysis parameters were determined by Box-Behnken experimental design as 4.5 g/100 mL substrate concentration, pH 9.0, 64 ℃ and 5.0% [E]/[S] ratio, yielding a degree of hydrolysis as high as 21.89% in 3 h of hydrolysis. Egg white peptide could obviously promote the growth of Lactobacillus bulgaricus. The best growth-promoting effect was achieved by addition of 3.0% by volume of egg white hydrolyzed for 3 h(mostly peptides with a molecular weight of 1 513 u), increasing the number of viable cells by 1(lg(CFU/mL)) when compared with the blank control.
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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 | 0.001 | 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".