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Record W2889370577 · doi:10.1002/cche.10100

Baking tests: Effect of sucrose and water on yeast gassing power

2018· article· en· W2889370577 on OpenAlexaff
Pierre Gélinas, Carole McKinnon

Bibliographic record

VenueCereal Chemistry · 2018
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsCegep de Saint HyacintheAgriculture and Agri-Food Canada
Fundersnot available
KeywordsChemistryYeastFood scienceSucroseSugarFermentationVolume (thermodynamics)Biochemistry

Abstract

fetched live from OpenAlex

Abstract Background and objectives Baking tests must be performed with formulations giving controlled gas production. The aim of this study was to investigate the effect of sucrose and water on yeast gassing power in dough. Total gas production, gas production rate, and residual fermentable sugars were determined in dough made with white flour and ten wholemeal samples. Findings With white flour adjusted for diastatic activity, gas produced after 3 hr at 38°C was constant in dough containing up to 6% sucrose. In the latter, yeast gassing power increased according to water content contrary to non‐sugared dough which gave uniform gas production. Yeast inhibition was seen with all flour samples tested. Gas production in dough also varied according to the yeast lot. Conclusions Sucrose and lack of water inhibited yeast gassing power in dough. Depending on the water content, fermented dough with 6% sucrose produced 10%–30% less gas than non‐sugared dough. Significance and novelty Yeast was inhibited by osmotic pressure in dough containing too much sugar and, to a lesser extent, too little water, resulting in variable gas production and potential bias in bread volume. Baking tests on flour with low water absorption should be performed with non‐sugared dough.

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 score0.011
Threshold uncertainty score0.517

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 studies0.0000.000
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 head0.005
GPT teacher head0.249
Teacher spread0.244 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

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