The zymocidial activity of Tetrapisispora phaffii in the control of Hanseniaspora uvarum during the early stages of winemaking
Bibliographic record
Abstract
AIMS: The yeast strain Tetrapisispora phaffii DBVPG 6706 (formerly Kluyveromyces phaffii) secretes a killer toxin (Kpkt) that has antimicrobial activity against apiculate yeasts. The aim of this study was to evaluate the killer activity of Kpkt towards Hanseniaspora uvarum under winemaking conditions. METHODS AND RESULTS: The zymocidial activity of Kpkt on H. uvarum was assayed in microfermentation trials inoculated with free and immobilized T. phaffii cells. The microbial evolution and fermentation profiles of the wines were evaluated to determine the effects of Kpkt on apiculate yeasts, in comparison with SO(2). The results indicate that the fungicidal activity of Kpkt against H. uvarum is stable for at least 14 days in wine, and the zymocin can control the proliferation of apiculate yeasts. The analytical composition of wines with the inoculum of T. phaffii immobilized cells did not differ from the wines with SO(2). In contrast to wines without this control of apiculate yeasts, an increase in ethyl acetate was seen. CONCLUSIONS: Tetrapisispora phaffii is an excellent candidate for the biological control of undesired proliferation of apiculate yeasts during the first steps of fermentation. SIGNIFICANCE AND IMPACT OF THE STUDY: Tetrapisispora phaffii cells in an immobilized form can be used as a biocontrol agent to reduce the need for SO(2) addition.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".