Metabolites with different molecular weight influencing on intracellular protein of non-Saccharomyces Cerevisiae and wine organic acid
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.002 | 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 teacher head, 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".