Effect of Rosemary Extract on Lipid Oxidation and Quality of Beef Meat Balls during Frozen Storage
Bibliographic record
Abstract
Different concentrations of rosemary extract(0%, 0.02%, 0.04%, and 0.06%) were added to beef meat balls, and beef meat balls with 0.02% butylhydroxyanisole(BHA) were used as the control. The peroxidate value(PV), content of thiobarbituric acid reactive substances(TBARS), color, water-holding capacity, as well as textural and sensory properties were evaluated to determine any improvement brought about by rosemary extract on lipid oxidation and quality of beef meat balls. The results showed that rosemary extract significantly decreased PV and TBARS content, thus inhibiting lipid oxidation. The a* value increased and good color was maintained. The thawing and cooking losses declined with the use of rosemary extract, while water-holding capacity and textural properties, including hardness, springiness, and chewiness, improved. Beef meat balls with rosemary extract showed higher sensory values and good sensory properties. Therefore, rosemary extract have potential applications in the inhibition of lipid oxidation during frozen storage, thus improving quality of beef meat balls.
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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 | 0.002 | 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) | 0.000 | 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".