Changes in the Composition of the Bacterial Flora on Tray‐Packaged Pork during Chilled Storage Analyzed by PCR‐DGGE and Real‐Time PCR
Bibliographic record
Abstract
In this study, a polymerase chain reaction (PCR)-denaturing gradient gel electrophoresis (DGGE) was used to investigate the changes in the composition of the bacterial population of tray-packaged pork during chilled storage. Relative quantitative real-time PCR was further used to evaluate the predominant spoilage bacteria obtained from DGGE analysis for their relative amount to the total bacteria in meat samples. DGGE analysis of the V3 and V6-V8 regions of the 16S rRNA gene showed that Pseudomonas were the predominant bacterial species at the end of the monitoring period. Real-time PCR expressed as the ΔΔC(T) method showed that the average 2(-ΔΔC)(T) values increased continually during the storage period from less than 0.001 at day 0 to 4.438 at the end of the monitoring, which indicated that the proportions of Pseudomonas within the total bacteria in meat samples increased. Both methods confirmed that Pseudomonas was the predominant spoilage bacteria. Practical Application: This study uses new techniques to identify bacteria in fresh retail pork and to follow changes in the bacterial population during 12 d refrigerated storage. Pseudomonads were found to increase with storage time, becoming the dominant flora after 12 d.
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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 | 0.000 |
| 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".