Impact of β‐glucan and other oat flour components on physico‐chemical and sensory properties of extruded oat cereals
Bibliographic record
Abstract
Summary Whole oat flour, N979‐5‐2‐4 (N979), IA95111 (IA95), ‘Jim’ and ‘Paul’ with β‐glucan concentration of 8.6%, 7.6%, 5.3%, and 5.9%, respectively, was made into extruded breakfast cereal (EBC). EBC β‐glucan had greater peak molecular weight than corresponding whole oat flour. Both whole oat flour and EBC from N979 and IA95 had greater peak viscosity (PV), as measured using a Rapid ViscoAnalyser, than that from Jim or Paul. Bile acid binding of EBC, correlated with total β‐glucan concentrations and PV, was either similar or greater than that of corresponding whole oat flour. Jim EBC had the least expansion ratio, lowest brown colour and cereal aroma but greatest tooth packing values. Paul and N979 EBC, although different from each other in a few sensory attributes, had similar acceptability as judged from a consumer test, suggesting that oats with elevated β‐glucan concentrations can be successfully incorporated into EBC with minimal processing alterations.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".