Effect of heating milk on whey protein denaturation and cheese-making properties
Bibliographic record
Abstract
The cheese-making properties of milk heated at 80 °C for different times (0–8 min), and mixtures of severely-heated milk (80 °C, 30 min) with non-heated milk were evaluated in separate experiments. In both approaches, milk pH was adjusted to 6.3, 6.7 or 7.0 before heating. Despite different distributions of denatured whey protein (WP) between casein micelle surface and serum phase, heating pH had no significant effect on cheese-making properties. The two approaches were compared by reporting the results as a function of WP denaturation rate in milk. The mixed milk approach showed a higher detrimental effect on rennet-induced coagulation kinetics and curd contraction capacity during cooking than the heated milk approach. For similar WP-denaturation rate, higher yield was obtained for the mixed milk than the heated milk as a result of the better protein retention and larger increase of cheese moisture.
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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".