Comparison of Viscoelastic Properties of Set and Stirred Yogurts Made from High Pressure and Thermally Treated Milks
Bibliographic record
Abstract
Viscoelastic properties of set and stirred yogurts made from raw (control), high pressure (300 and 400 MPa, 20 min, 4°C), and heat treated (80°C, 30 min) milks were investigated using a using a computer controlled rotational viscometer under oscillatory testing program, including three operating modes: a strain sweep, frequency sweep, and an isothermal time sweep. Linear, exponential, power-law, and Weltmann models were used to assess and describe the strain, frequency, and time dependent viscoelastic properties of yogurts. Their significance was analyzed using Duncan’s multiple range tests. The results indicated that the set yogurts had larger moduli (storage moduli G’ and loss moduli G”) and lower phase shift (tan δ) than stirred yogurts. High pressure treatment increased storage moduli G’ of both stirred and set yogurts significantly (p < 0.05). The influence on loss modulus was relatively lower. Unlike yogurts made from heat treated and raw milks, the ones made from pressure treated milks resulted in significantly different gel, frequency, and strain dependent properties for both types of yogurts. However, time dependent properties were not affected by pressure treatment.
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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 | 0.001 |
| 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".