Loop-Mediated Isothermal Amplification for Rapid Evaluation of the Freshness of Chilled Chicken
Bibliographic record
Abstract
Based on the highly positive correlation between chilled chicken freshness and the number of Pseudomonas, this study established a loop-mediated isothermal amplification (LAMP) method for rapid detection of Pseudomonas for the purpose of freshness detection. The results showed that the established LAMP system had high specificity for Pseudomonas, and the highest sensitivity was 3.05 × 102 CFU/mL. According to the measured values of Pseudomonas count, total bacterial count, total volatile basic nitrogen (TVB-N) content, pH, sensory properties of chilled chicken during storage, it was found that the total bacterial count and odor properties were the most accurate indicators of freshness, and the correlation between Pseudomonas count and them was the strongest. Pseudomonas count in the early stage of spoilage could be accurately identified by LAMP, and based on it the freshness of chilled chicken could be inferred. The method established in this study is time-saving, flexible, and applicable to a variety of scenarios, and it deserves to be popularized.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".