Rheological properties and bread quality of frozen yeast‐dough with added wheat fiber
Bibliographic record
Abstract
Abstract BACKGROUND The rheological characteristics of frozen dough are of great importance in bread‐making quality. The effect of addition of commercial wheat aleurone and bran on rheological properties and final bread quality of frozen dough was studied. Wheat aleurone (A) and bran (B) containing 240 g kg−1 and 200 g kg−1 arabinoxylan (AX), respectively, were incorporated into refined wheat flour at 150 g kg−1 substitution level (composite A and B, respectively). Dough samples of composite A and B in addition to two reference dough samples, refined flour (ref A) and whole wheat flour (ref B) were stored at −18°C for 9 weeks. RESULT Frozen stored composite dough samples contained higher amounts of bound water, less freezable water and exhibited fewer modifications in gluten network during frozen storage based on data from differential scanning calorimetry and nuclear magnetic resonance spectroscopy. Bread made from composite frozen dough had higher loaf volume compared to ref A or ref B throughout the storage period. CONCLUSION The incorporation of wheat fiber into refined wheat flour produced dough with minimum alterations in its rheological properties during 9 weeks of frozen storage compared to refined and 100% wheat flour dough samples. © 2016 Society of Chemical Industry
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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".