REDUCTION OF CAMPYLOBACTER ON POULTRY THIGHS USING SEQUENTIAL TREATMENTS OF ANTIMICROBIALS
Bibliographic record
Abstract
Campylobacter is a major concern for poultry processors, as USDA performance standards have become stricter. This study evaluated CMS PoultrypHresh™, a low pH processing aid, and peracetic acid using consecutive and sequential dip treatments to reduce Campylobacter in thighs. Thighs (n=3/treatment group) were inoculated with a C. coli marker strain (108) and each dipped into bags containing 1 L of treatment 1 for 6 s. Thighs were allowed 5 s to drip, placed onto foil for 60 s, and dipped into treatment 2 for 6 s. After 5 s drip time, each was placed in a bag with 150 mL buffered peptone water and hand shaken for 60 s; controls same procedure, no treatment. Rinsates were serially diluted, plated onto Campy Cefex agar with 200 ppm gentamicin and incubated microaerobically for 48 h at 42°C. Procedures were replicated 5 times. Significant reductions compared to untreated using consecutive dips of PoultrypHresh™ and PAA were 98.2% and 99.3%, respectively. Treatments of PoultrypHresh™ then peracetic acid reduced Campylobacter 99.2% from untreated thighs. Peracetic acid then PoultrypHresh™ showed significant reductions compared to all other treatments (99.9% from untreated). Treating with this sequence may allow processors to meet the strict performance standards on Campylobacter in broiler parts.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".