The Relative Efficacy of Thermal and Acidification Stresses on the Survival of E. coli O157:H7, Salmonella, and Listeria Monocytogenes in Ground Beef
Bibliographic record
Abstract
To provide additional insights on pathogen survival, we evaluated the relative efficacy of acidification (pH 2.7), thermophilic treatment (55 °C), and low temperature pasteurization (68 °C) on the inactivation of E. coli O157:H7, Salmonella, and Listeria monocytogenes in ground beef. A series of experiment was conducted under biosafety level 3 environments for assessing the impacts of heat and low pH on pathogen survival. Results showed that 5-log reductions of E. coli O157:H7 could take more than 2640 min at 55 °C, 134 min at 68 °C and 120 min under pH 2.7. Compared to E. coli O157:H7, the 5-log reduction of Salmonella was obtained in 4836, 126, 86 min at 55 °C, 68 °C, and pH 2.7, respectively. The 5-log reduction of Listeria was achieved in 4704, 200, and 115 min under 55 °C, 68 °C, and pH 2.7, respectively. The results of this study will provide additional insights for developing improved methods for controlling pathogens in ground beef.
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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 | 0.000 | 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".