Effect of Nitrite Substitution with Olive Leaves Extract on Color and Sensory Properties of Beef Mortadella
Bibliographic record
Abstract
<p>Six mortadella treatments were prepared for studying the effect of olive leaf extract (OLE) at a level of 240 mg OLE/100 g meat as nitrite alternative on the color and sensory characteristics. These treatments were: control with the addition of 120 ppm sodium nitrite only, and the second one with the addition of 240 mg OLE/100 g meat but without the addition of sodium nitrite as a negative control, the other four treatments were combination of 240 mg OLE/100 g meat with 80, 60, 40 and 20 ppm sodium nitrite, respectively. All samples were stored at 5 °C for 1, 3, 6, 9, and 12 weeks.<strong></strong></p><p>There were no significance differences (P &gt; 0.05) between all mortadella treatments regarding their proximate parameters.<strong> </strong>Hunter lightness (<em>L</em>), redness (<em>a</em>), and yellowness (<em>b</em>) color, and sensory attributes including the appearance, color, tenderness, juiciness, flavor, and overall acceptability showed that 80 and 60 ppm nitrite in combination with OLE at 240 mg/100 g meat had the best results in comparison with the other four treatments indicating an additive combined effect of the OLE with nitrite that enhanced mortadella characteristics.</p><p>These results revealed the ability to substitute 50% of the used nitrite in mortadella stored at 5 °C when using combinations of 60 ppm nitrite with 240 mg OLE/100 g meat.</p>
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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 | 0.001 | 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 | 0.001 |
| 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".