A Novel Dairy Fermented Frozen Dessert with Honey and Pomegranate Juice: Physicochemical, Rheological and Sensory Properties
Bibliographic record
Abstract
The effect of fat content and added yoghurt, honey and pomegranate juice concentration on the overrun, and the physicochemical, rheological and sensory properties of frozen yoghurt samples was investigated, aiming in the production of a novel low-fat and functional dairy fermented frozen dessert. For this purpose, the methodology of mixture experiment was applied to twenty samples, while a control sample (without using honey and pomegranate juice) was also produced. According to the results, the increase in yoghurt concentration resulted in increasing pH, overrun, brightness, elastic modulus (G´) determined at -2 °C and sensory hardness of the samples, while it reduced color parameters a* and b*, creaminess, sweetness and fattiness. Increasing honey concentration reduced lactic acid concentration, G´ at -2 °C, hardness, sensory acidity, and to a lesser extent pH, while increased color parameter b*, overrun, sensory color intensity, creaminess, sweetness, and fattiness of the samples. The increase in pomegranate juice concentration resulted in decreasing pH, brightness and b*, as well as increasing a*, color intensity, creaminess and sensory acidity. Finally, fat, by interacting with one or two of the three constituents (yoghurt, honey and pomegranate juice), decreased pH, creaminess and fattiness, while increased lactic acid concentration, b*, color intensity and to a lesser degree the overrun level of the samples. Overall acceptability of the samples indicated that it is possible to use honey and pomegranate juice in the production of low-fat frozen yoghurt with favorable sensory properties.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".