Growth Inhibition of Foodborne Pathogens by <i>Oenococcus oeni</i>
Bibliographic record
Abstract
UNLABELLED: To explore the possibility of using Oenococcus oeni to inhibit foodborne pathogens, and to characterize antimicrobial compounds produced by O. oeni, 24 strains of O. oeni were tested for their ability to inhibit growth of foodborne pathogens, Escherichia coli O157:H7, Salmonella enteritidis, and Listeria monocytogenes by using the spot-on-lawn method. Of the 24 strains, 17 strains were able to inhibit all 3 pathogens in this study. Proteases, catalase, and buffer solutions were used for determining the type of inhibitory compounds produced from 4 selected strains with stronger inhibitory activity. Antimicrobial activity of 2 strains against the pathogens was completely inactivated by buffer solution, and other 2 strains against E. coli O157:H7 were partially removed. The antimicrobial compound was not sensitive to selected proteases and catalase. PRACTICAL APPLICATION: There is little information available about using O. oeni for human pathogens control. The results of this study revealed such discovery and potential applications for pathogen control.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".