Growth Prediction of Aeromonas hydrophila in Fresh Cheese Stored at 4°C
Bibliographic record
Abstract
The aim of this study was to determine the behavior of Aeromonas hydrophila in “Minas Frescal” cheese during storage at 4°C, 8°C and 12°C using a regression model and to predict the development of this microorganism during 24 days of storage. Cheese was vacuum-packed and then stored at the study temperatures. A. hydrophila and aerobic heterotrophic psychrotrophic bacteria (AHPB) were quantified during storage, water activity (wa) and pH were analyzed. Then, the microbiological counts were submitted to regression analysis and the averages were analyzed using Pearson's correlation with the wa and pH parameters. Results showed that A. hydrophila developed significantly at refrigeration temperatures, with high growth rates at 4°C and 8°C, in contrast to those observed at 12°C. There was a slight variation in the wa and pH results and AHPB presented good performance at all the temperatures analyzed. The models obtained fitted better at a temperature of 4°C and were able to predict the growth of A. hydrophila with a model fit of 90% (p<0.001). In conclusion, the model obtained for predicting the growth of A. hydrophila at 4°C was accurate up to 13 days after the product was manufactured, showing that temperature control was crucial for maintaining product quality; wa and pH were not parameters for quality control.
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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 | 0.001 |
| 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".