Insight into the mechanism of pressure shift freezing on water mobility, microstructure, and rheological properties of grass carp surimi gel
Bibliographic record
Abstract
This study found that using pressure shift freezing (PSF) treatment could suppress the decline in the quality of grass carp surimi gel during the conventional air freezing (CAF) process, and even improve the original properties of surimi gel. The surimi gel breaking force was about 2.5 times followed by PSF treatment (4.5 N) compared to the CAF group (1.8 N). The formation of small ice crystals in the PSF group reduced the mechanical damage to the sample structure compared to the large ice crystals formed in CAF groups. In addition, PSF treatment was found to be responsible for the change in protein and water mobility in surimi gel, which in turn positively influences the physicochemical properties of surimi gel. Industrial relevance The output of this study revealed the significance of PSF technology in the surimi gel processing and meat processing industry. The development of new products and the use of new resources are very important in addressing the global food crisis and resource shortages. The application of PSF technology has also laid a foundation for freshwater surimi gel products to replace seawater surimi gel products.
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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".