Hydroxyl-radical process for reducing Salmonella and Campylobacter jejuni on inoculated and naturally contaminated raw poultry parts with no change in quality metrics
Bibliographic record
Abstract
The study aimed to optimize the performance of a gas phase hydroxyl radical process to inactivate Salmonella and Campylobacter jejuni associated with raw poultry meat. Chicken parts were inoculated with Salmonella or C. jejuni before passing through a hydroxyl-radical reactor operating with different concentrations of hydrogen peroxide mist (1–6 % v/v) and UV-C dose (112–546 mJ/cm 2 ) with ozone feed remaining constant. The surviving populations were enumerated and meat quality assessed. It was found that the log CFU reduction of Salmonella was limited to 1 log CFU and independent of hydrogen peroxide and UV-C dose A treatment of 1 % v/v hydrogen peroxide, 12 ppm ozone and a UV-C dose of 112 mJ/cm 2 supported a 0.73 ± 0.13 log CFU of C. jejuni and 1.08 log CFU Salmonella without negatively affecting meat quality. Hydroxyl-radical treatment of naturally contaminated samples reduced the carriage of Salmonella to 10 % when applying RT-PCR and down to 6 % with culture methods. In comparison, C. jejuni was decreased to 2 % by RT-PCR and non-detectable by culture-based testing. The treatment did not result in an extension of shelf-life. In conclusion, the gas-phase hydroxyl radical process presents an additional hurdle for reducing the carriage of Salmonella and Campylobacter on poultry meat. • Hydroxyl-radical process (HR) based on UV-C degradation of hydrogen peroxide mist and ozone gas. • HR supported 0.79 and 1.08 log CFU reduction of Salmonella and C. jejuni respectively. • HR reduced the carriage of Salmonella on naturally contaminated chicken by 10 %. • HR reduced the prevalence of C. jejuni on poultry from 12 % to 2 %. • HR treatment did not change the nutritional value or quality metrics of poultry meat.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".