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Record W2198122691 · doi:10.1111/ijfs.13022

Fructans, water‐soluble fibre and fermentable sugars in bread and pasta made with ancient and modern wheat

2015· article· en· W2198122691 on OpenAlexaff
Pierre Gélinas, Carole McKinnon, Fleur Gagnon

Bibliographic record

VenueInternational Journal of Food Science & Technology · 2015
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsFructanFood scienceSucroseFructoseFermentationChemistryGlutenLeavening agentArabinogalactanYeastSugarBread makingPolysaccharideBiochemistry

Abstract

fetched live from OpenAlex

Summary The aim of this study was to determine wheat constituents in bread and pasta that might result in intestinal gas production. Fructans, water‐soluble arabinoxylans, arabinogalactan proteins and fermentable sugars were followed in bread and pasta made with ancient (Khorasan wheat; emmer) and modern wheats (common wheat; durum). After fermentation for 180 min, 80% of fructans were eliminated and higher levels of fructose than glucose accumulated in bread dough supplemented with sucrose. Whole‐grain Khorasan wheat and emmer flours inhibited yeast fermentative activity. Half of fructans, arabinogalactan proteins and sugars were washed out in cooking water for pasta. Water‐soluble wheat arabinoxylans increased in bread and cooked pasta. With very low levels (0.3–0.8%, dry basis), fructans in cooked pasta and, in particular, long‐fermentation bread prepared with modern or ancient wheat would unlikely act as major gas‐forming triggers of gastrointestinal discomfort associated with noncoeliac gluten sensitivity.

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)0.001
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 score0.029
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.014
GPT teacher head0.261
Teacher spread0.247 · 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

Citations51
Published2015
Admission routes1
Has abstractyes

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Same venueInternational Journal of Food Science & TechnologySame topicMicrobial Metabolites in Food BiotechnologyFrench-language works237,207