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Record W2294188057 · doi:10.1002/jsfa.7710

Rheological properties and bread quality of frozen yeast‐dough with added wheat fiber

2016· article· en· W2294188057 on OpenAlexafffund
Vivian Adams, Sanaa Ragaee, El‐Sayed M. Abdel‐Aal

Bibliographic record

VenueJournal of the Science of Food and Agriculture · 2016
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsAgriculture and Agri-Food CanadaMinistry of Agriculture, Food and Rural AffairsUniversity of Guelph
FundersOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsFood scienceRheologyBranWheat flourGlutenArabinoxylanDifferential scanning calorimetryChemistryFiberComposite numberAleuroneMaterials sciencePolysaccharideComposite materialRaw materialEndospermBiochemistry

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.235
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2016
Admission routes2
Has abstractyes

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