Desiccation Survival of Listeria monocytogenes in Mixed Biofilms with Pseudomonas fluorescens, Serratia liquefaciens and Shewanella putrefaciens
Bibliographic record
Abstract
Listeria monocytogenes has been found to withstand harsh environmental\nconditions including desiccation. The pathogen is also known to form biofilm when in\nco-culture with other bacteria found in food products. This study investigated the\ndesiccation survival of L. monocytogenes in mixed biofilms with Pseudomonas\nfluorescens, Serratia liquefaciens and Shewanella putrefaciens. To this end, mono- or\nbinary species biofilms were formed and desiccated (43% relative humidity, 21 days at\n15°C) on stainless steel coupons and the double Weibull model was fitted to the resulting survivor curves.\nThe presence of the competitor Gram-negative food spoilage bacteria with the\nexception of Sh. putrefaciens suppressed (p<0.05) L. monocytogenes during biofilm\nformation (100% relative humidity, 15°C and 48 h) and subsequently decreased (P<0.05) the desiccation survival in L. monocytogenes without affecting the resistance of\nindividual cells. Microscopic approaches revealed different biofilm forming capabilities\nin the mono- and binary bacterial combinations.
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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 | 0.000 | 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) | 0.000 | 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".