Effects of triple-frequency orthogonal ultrasound-assisted freezing on the quality properties of large yellow croaker (Larimichthys crocea)
Bibliographic record
Abstract
Ultrasound-assisted freezing (UAF) is a new freezing technology that combines ultrasonic sound field with immersion freezing. The objective of this study was to investigate the effect of triple-frequency orthogonal ultrasound-assisted freezing (TOUAF) on the quality of large yellow croaker ( Larimichthys crocea ). The results showed that TOUAF at horizontal 20 and 28 kHz + vertical 40 kHz (TOUAF-20(H)28(H)40(V)) significantly increased the freezing rate, enhanced the water holding capacity (83.68%), and effectively minimized water migration. TOUAF-20(H)28(H)40(V) effectively reduced the TBA (0.084 mg MDA/kg) and TVB-N value (9.65 mg N/100 g), which improved the solubility of proteins, reduced the surface hydrophobicity, and effectively protected the structural integrity of proteins and reduced protein aggregation. It can effectively slow down lipid oxidation and protein degradation. The research showed that TOUAF could effectively slow down the quality degradation of frozen yellow croaker compared with horizontal multi-frequency ultrasound freezing which is more commonly used at present. • TOUAF combines multi-frequency UAF with orthogonal modes. • TOUAF significantly increases the freezing rate. • TOUAF improves the quality of frozen large yellow croaker. • TOUAF-20(H)28(H)40(V) reduces negative effects including thermal effects.
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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 | 0.001 | 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 | 0.000 |
| 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".