The behaviour of log phase Escherichia coli at temperatures that fluctuate about the minimum for growth
Bibliographic record
Abstract
AIMS: To investigate the behaviour of cold-adapted, log phase Escherichia coli exposed to temperatures that fluctuate below and above the minimum for growth. METHODS AND RESULTS: Log phase E. coli cultures were incubated at a constant temperature of 2, 4 or 6 degrees C or with temperatures allowed to increase from those temperatures for 35 min, to 10 degrees C, at 6-, 12- or 24-h intervals, as commonly occurs during retail display of chilled foods. At suitable intervals for each culture, the optical absorbance value was determined using a spectrophotometer, the forward angle light scatter was determined using a flow cytometer, and portions were spread on plate count agar for enumeration of colony forming units (CFU). Numbers of CFU decreased by 3 log units or increased by 1 log unit for cultures incubated at 6 degrees C for 17 days without or with temperatures fluctuations at < or =12-h intervals, respectively. Cells elongated when cultures were incubated at 4 or 2 degrees C with temperatures fluctuating at 6-h intervals, and at 6 degrees C at constant or fluctuating temperatures, but cells did not elongate in cultures incubated at a constant temperature of 2 or 4 degrees C. SIGNIFICANCE AND IMPACT OF THE STUDY: The minimum growth temperature of E. coli is assumed to be > or =7 degrees C. Elongated cells were able to divide when temperatures rose from 6 degrees C to above 7 degrees C for <45 min at < or =12-h intervals. Such temperature fluctuations may be experienced by chilled foods during defrosting cycles of retail display cases. The finding that cells behave differently under fluctuating than at constant temperatures may significantly affect understanding of appropriate temperatures for the safe storage of chilled foods and for predictive modelling of bacterial growth in such foods.
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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 | 0.001 |
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".