Impact of the incorporation of the edible seaweeds <i>Saccharina latissima</i> and <i>Alaria esculenta</i> on the physicochemical, functional and sensory properties of yoghurt
Bibliographic record
Abstract
Abstract The impact of the addition of seaweed to yoghurt was evaluated on its physicochemical, functional and sensory properties. Two different species of brown macroalgae, Saccharina latissima (blanched or not) and Alaria esculenta, were added in four different concentrations (0.25%, 0.50%, 0.75% and 1%) and in two different forms (flakes and powder). The titratable acidity of all yoghurt samples formulated with blanched Saccharina was similar to the control. However, formulations with blanched Saccharina exhibited higher syneresis than the control. Most yoghurt samples containing Alaria at higher concentrations exhibited a lower firmness than the control. Seaweed addition had a significant impact on the colour of yoghurt samples. Quantitative descriptive analysis and hedonic evaluation performed by a trained panel showed that changes in physicochemical properties influenced the organoleptic characteristics of yoghurt samples. Yoghurt samples formulated with 0.25% S. latissima and 0.50% A. esculenta in flakes were selected as the most promising formulations.
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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) | 0.000 | 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) | 0.001 | 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".