Microbial Succession of Debaryomyces hansenii Strains During the Production of Danish Surfaced-Ripened Cheeses
Bibliographic record
Abstract
Surface-ripened cheeses of the Danbo type were analyzed for the presence of yeasts with special emphasis on Debaryomyces hansenii. Samples were taken from pasteurized milk, brine, and inoculation slurries and from cheese surfaces during ripening at a Danish dairy. D. hansenii was found to be the dominant yeast species throughout the ripening period, whereas other yeast species such as Trichosporon spp., Rhodotorula spp., and Candida spp. were found in minor concentrations during early stages of cheese ripening. Mitochondrial DNA RFLP was used to show that several strains of D. hansenii were present from the onset of ripening. Thereafter, a microbial succession among the strains took place during the ripening. After 3 d of ripening, only one strain was found. This particular strain was found to be dominant in 16 additional batches of surface-ripened cheeses. We investigated the cause of the observed microbial succession by determining the variation in strains with regard to their ability to grow on lactate and at different pH and NaCl concentrations. The strains were shown to vary in their ability to grow on lactate. In a full factorial design at three levels with factor levels close to the actual levels on the cheese surface, differences in pH and NaCl tolerances were observed. The dominant strain was found to be better adapted than other strains to the environmental conditions existing in surface-ripened cheeses during production [e.g., lactate as the main carbon source, pH 5.5 to 6.0 and NaCl concentrations of 7 to 10% (wt/vol)].
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".