Anti‐mold properties of fermented apple juice in bread
Bibliographic record
Abstract
Abstract Background and Objectives Bread may be spoiled by mold, which results in major economic losses. The aim of this study was to optimize the anti‐mold properties of apple juice fermented with Propionibacterium freudenreichii to get high levels of propionic acid with lesser amounts of acetic acid, which impairs bread taste. Findings After fermentation for 7 days at 35°C, apple juice (half‐diluted to about 4% fermentable sugars; with 1% yeast extract; pH adjusted to 6.0) contained 1.0% propionic acid and little amounts of acetic acid (about 0.35%). Conclusions In bread, the anti‐mold activity of fermented apple juice (5%, fb) was similar to that of apple cider vinegar (2.44%, fb). Significance and Novelty Fermented apple juice is a novel mold inhibitor for bread that may replace apple cider vinegar and part of calcium propionate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".