Changes in antioxidant enzymes in postmortem muscle and effects on meat quality from three duck breeds during cold storage
Bibliographic record
Abstract
This study was conducted to evaluate changes to antioxidant systems in the postmortem muscle of three duck breeds and to analyze their relationship with meat quality. Pekin ducks, Muscovy ducks, and Mulard ducks were euthanized at the age of 70 d. The antioxidant enzyme activities and related gene expressions as well as meat quality in muscle tissues were examined. The breed of the duck had a significant effect on the antioxidant capacity of muscle tissues (P < 0.05), with the exceptions of superoxide dismutase (SOD) activity at 96 h as well as total antioxidant capacity (T-AOC) at 120 h. The SOD, glutathione peroxidase (GPx/GSH-Px), and T-AOC activities from highest to lowest were Muscovy duck > Mulard duck > Pekin duck, whereas the malondialdehyde (MDA) concentration followed the opposite pattern. During cold storage (0–120 h), a decrease in the GPx, SOD, and T-AOC activities was noted, although MDA concentration increased gradually. The GPx1 and Cu/Zn-SOD gene expression levels in Muscovy duck muscle tissues were significantly higher than those in other breeds at both 0 and 24 h. Correlation analysis showed that higher antioxidant enzyme activity in duck muscle tissues was associated with higher water-holding capacity (WHC) and more stable meat color. Higher antioxidant enzyme activity in duck meat similarly resulted in higher pH values, higher WHC, and more stable meat color. These data indicate that antioxidant enzymes may inhibit lipid oxidation and participate in the regulation of meat quality.
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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".