Effect of the pH of Heating on the Qualitative and Quantitative Compositions of the Sera of Reconstituted Skim Milks and on the Mechanisms of Formation of Soluble Aggregates
Bibliographic record
Abstract
The effect of the pH of heating (6.3-7.3) on the composition of sera in reconstituted skimmed milks was investigated. A combination of SDS-PAGE analysis and size exclusion chromatography (SEC) combined with an original approach to the analysis of the SEC profiles was performed. The composition of the sera varied greatly when the pH of heating was adjusted below and above the natural pH of milk. The formation, composition, and concentration of heat-induced soluble complexes depended on the combination of the effect of adjusting the pH of the milk and the heat treatment. Two types of mechanism for the formation of soluble aggregates appeared to exist, depending on the pH of the milk. The first type results from the formation of WP/kappa-casein aggregates at the surface of the micelle, and these were detached partially into the serum in larger amount as the pH increased up to 6.7, where it reaches a maximum. The second type of complexes, whose amount increased as the pH of heating increased from 6.7 to 7.3, may be formed between caseins (kappa- but also perhaps some alpha(s)-casein) and aggregated WP resulting in complexes that are smaller in size and with a higher kappa-casein/whey protein ratio than the first type.
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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 | 0.000 | 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) | 0.000 | 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".