Effects of dietary emulsifier and lipid source on broiler meat quality, lipids, and serum antioxidant status
Bibliographic record
Abstract
This study aimed to evaluate the effects of diets containing acid soybean oil (ASO) as a substitute for degummed soybean oil (DSO), with or without an emulsifier, on the serum lipid composition, antioxidant protection, carcass yield, and meat quality of broilers. Seven hundred and four 1-day-old male chicks were distributed in a 2 × 2 factorial arrangement (with or without emulsifier × two lipid sources—ASO and DSO), with eight replicates. The dietary inclusion of ASO increased by 65.87% the serum activity of the superoxide dismutase at 21 days of age. The inclusion of the emulsifier reduced the tenderloin yield of the birds by 5.22% and the abdominal fat percentage by 10.20% at 49 days of age, interfering with serum low-density lipoprotein and triglyceride. There was an increase in the water-holding capacity, greater yellow intensity ( b*) 15 min post mortem, and lower pH 24 h post mortem for meat from broilers fed diets containing DSO. Meat from broilers fed diets containing ASO with an emulsifier showed lower shear force. The emulsifier did not provide additional metabolizable energy, as reflected by the reduced chicken tenderloin yield. The use of ASO provided better serum antioxidant status, with no deleterious effects on the carcass and meat quality of broilers.
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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) | 0.001 | 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 | 0.001 |
| 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".