Grape pomace in diets for European sea bass: influence on oxidative status, intestinal microbiota, and fillet quality
Bibliographic record
Abstract
Abstract The use of intensive systems in aquaculture causes an increase in environmental stress agents, reducing water quality and facilitating the appearance of pathologies in individuals. In this context, the selection of ingredients is a key strategy in managing the quality of aquafeed and the cultivation of aquaculture species. Considering this, wine by-products can be a potential functional ingredient due to several particular characteristics, such as their low cost, large volumes produced, and for being a natural source of bioactive compounds with antioxidant activity. The present study developed different experiments focused on evaluating the benefits of feeding juvenile European sea bass during 5 weeks with feeds incorporating 0.4% red wine grape pomace (GP). At the end of the feeding period, potential modifications in metabolism, immunological and oxidative status, and functionality of intestinal microbiota were assessed as well as the potential protective effect against oxidation in fish fillets during 6 days of cold storage (4 °C). In addition, the preservative effect of GP on the feed when stored for a period of 12 weeks at two different temperatures (4 °C and 25 °C) was evaluated. The results demonstrated that the inclusion of GP in feeds for European sea bass prevents oxidation when stored at room temperature. In addition, a general improvement in the physiological and immunological status, as well as fillet quality, was evidenced.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".