Recent advances in the effects of protein oxidation on aquatic products quality: mechanism and regulation
Bibliographic record
Abstract
Summary Aquatic products are delicious and rich in high‐quality proteins, and thus have high‐food value and are popular among consumers; however, deterioration of their quality can easily occur when being stored and processed. Proteins, the main components of the muscle tissue of aquatic products, are closely related to the quality of aquatic products, and protein oxidation has become a research hotspot for studying the regulatory mechanisms of aquatic product quality changes. Protein oxidation is one of the main causes of quality deterioration of aquatic products, mainly because of protein cross‐linking and protein degradation caused by oxidation. Related studies have also shown that the changes in the electrostatic charge of proteins owing to oxidation are associated with the muscle water‐holding capacity (WHC). This article introduces the induction mechanism of protein oxidation in aquatic products, focusing on its effects on the quality, such as colour, texture, WHC and summarises the current research progress of aquatic products quality control on this basis to provide theoretical reference for future research.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".