The Effect of Some Chemical Additives on the Foaming Performance of the Pasteurized Liquid Egg White
Bibliographic record
Abstract
The foam stability ranged between 46.7 (0.5 mg/kg phospholipase.24h) and 64.6 (0.5 mg/kg phospholipase.48 h). When tartaric acid is added to egg white in the rate of 5 %, an increasing in foam capacity and stability were observed. In the use of sodium acid pyrophosphate (SAPP), especially on performance effects, it was seen that the similar results to citric acid and tartaric acid were obtained. In Control Group 1, while the effect on foam capacity was 200 units, due to the fact that it does not form cream of lump of dough. In Group 2, whose contamination of egg yolk is low, it was seen that it was only 40 units. In the rates of tryethyl citrate of 0.1 -1 ml/kg, in the studies on two different control group, in pH and brix, any variation was not observed. In foam capacity, the values between 640-690 were identified and in stability, the values ranging 60.3-67.4. It is considered that the rate of maximum using was around 0.2 ml/kg. Triethyl citrate protects egg white against the detrimental effects of egg yolk.
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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 | 0.001 |
| 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".