Dynamic Viscoelastic Behavior of High Pressure Treated Soybean Protein Isolate Dispersions
Bibliographic record
Abstract
Commercial soy protein isolate (SPI) dispersions (10, 15, and 20% concentrations) were subjected to high pressure treatment at selected pressure levels (350, 450, 550, and 650 MPa) for 15 minutes at 23 ± 1.5°C. Calorimetric studies confirmed denaturation of SPI dispersions at 350 MPa irrespective of concentration. Frequency sweep data (0.1 to 10 Hz) of SPI dispersions during oscillation rheological measurement demonstrated that elastic modulus (G′) predominate over viscous component (G″) for all concentrations. Gel rigidity of pressurized samples, estimated by mechanical spectra analysis, showed no systematic pattern with applied pressure however concentration significantly increased mechanical strength. Contrary to thermal effect, high pressure treated samples exhibited predominant viscous property and overall there was no significant change on viscoelastic properties of treated samples to control. Electrophoresis results (both Native and SDS) confirmed rheological data with insignificant conformational change in protein subunits of post-process samples. As expected, thermal induced gel was firmer than that of pressure treated samples at similar concentration.
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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 | 0.000 |
| 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) | 0.001 | 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".