Meat juice contributes to the stability of ethanol adaptation in <i>Salmonella enterica</i> serovar Enteritidis
Bibliographic record
Abstract
Abstract Stability assessment of observed tolerance phenotypes is integral in understanding stress adaptation in food-borne pathogens. Therefore, the current work was carried out to determine whether ethanol adaptation induced by exposure to 5 per cent ethanol for 60 min is a stable phenomenon in Salmonella enterica serovar Enteritidis. The capacity of Salmonella Enteritidis (S. Enteritidis) to maintain the acquired ethanol adaptation in the absence of sublethal ethanol stress was investigated at 37 °C, 25 °C or 4 °C in Luria–Bertani broth and two types of meat juice. It was found that ethanol adaptation was completely reversed within 40 min at 37 °C or within 60 min at 25 °C, but was stable at 4 °C for at least 48 h in the broth assay. Ethanol adaptation was retained in chicken juice during 60-min incubation at 25 °C or 48-h incubation at 4 °C. Moreover, exposure to pork juice stored at either 25 °C or 4 °C significantly (P<0.05) increased the ethanol tolerance of ethanol-adapted cells. Collectively, these findings suggest that ethanol adaptation stability in S. Enteritidis under cold conditions and in meat juices should be taken into account when conducting a comprehensive risk analysis during food processing.
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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".