Development of an Orange‐flavored Barley β‐Glucan Beverage with Added Whey Protein Isolate
Bibliographic record
Abstract
ABSTRACT: Whey protein isolate (WPI) frommilkand (l→3), (l→4)‐β‐D‐glucan (β‐glucan), a soluble fiber component found in barley, were used together to formulate a functional beverage product. Formulations tested included 0.5% (w/w) β‐glucan with 0%, 0.5%, 1.0%, and 1.5% (w/w) WPI. Trained and consumer panels evaluated beverage quality and acceptability. Shelf stability of products was assessed. Trained panelists found beverages to be similar in sweetness intensity ( P > 0.05). Sourness and orange‐flavor intensity decreased ( P 0.05) as WPI concentration increased, whereas beverage cloudiness and viscosity increased ( P 0.05). The consumer panel found no difference (P > 0.05) in the degree of liking for all the attributes studied. Beverages were found to be stable throughout the 8‐wk storage period. Barley β‐glucan shows great potential as a functional beverage ingredient.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".