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Record W2392411124

Metabolites with different molecular weight influencing on intracellular protein of non-Saccharomyces Cerevisiae and wine organic acid

2011· article· en· W2392411124 on OpenAlexaff
Zhai Ming

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsSaccharomyces cerevisiaeFermentationWineAcetic acidBiochemistryChemistryExtracellularDialysisFood scienceTitratable acidMetabolismIntracellularYeast
DOInot available

Abstract

fetched live from OpenAlex

In this study,the effect of extracellular metabolites produced by Saccharomyces cerevisiae on intracellular protein expression of Non-Saccharomyces cerevisiae and on the quality of wine was investigated by dialysis tube fermentation method.By using dialysis tubes with molecular weight cut-off value of 10.0 kD and 3.5 kD respectively in the mixed fermentation,the survival time of non-S.cerevisiae was extended to 18 days and 22 days correspondingly.Consequently the survival time of non-S.cerevisiae can be changed by limiting the exchange of metabolites between strains.65 proteins,namely 13% of the total protein,were found differently expressed,with mass spectrometry results indicating their close relation to the biosynthesis of steroids,lysine,organic acids and ATP.Compared with 10.0 kD dialysis tube fermentation,in 3.5 kD dialysis tube,the concentration of tartaric acid increased by 5.1% while acetic acid decreased by 44.3%,which indicates that by allowing communication of metabolism between cells with limited molecular weight,we can adjust the yield of wine's titratable acidity and volatile acidity.

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 categoriesInsufficient payload (model declined to judge)
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 score0.077
Threshold uncertainty score0.999

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)0.0020.000

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 head0.011
GPT teacher head0.181
Teacher spread0.170 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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