Effect of combination of essential oils and bacteriocins on the efficacy of gamma radiation against<i>Salmonella</i>Typhimurium and Listeria monocytogenes
Bibliographic record
Abstract
PURPOSE: Using essential oils (EO) alone or combined EO with nisin to enhance the lethality of Salmonella Typhimurium and Listeria monocytogenes to γ-irradiation treatment. MATERIALS AND METHODS: Cell suspension or inoculated carrots (10(6) colony forming unit (CFU)/ml) of L. monocytogenes or Salmonella Typhimurium were treated with carvacrol and mountain savory EO alone or treated by the combined EO plus nisin and were irradiated at different doses. The radiation dose required to reduce bacterial population by 90% (D(10) value) and the relative sensitivity (RS) of treated bacteria to irradiation were calculated. RESULTS: The RS of L. monocytogenes cell suspension to irradiation was increased by 4.19 and 6.31 times when treated by carvacrol plus nisin and mountain savory plus nisin, respectively, as compared to the control. The RS of Salmonella Typhimurium cell suspension to irradiation was increased by 1.84-fold when treated with carvacrol plus nisin. Coated carrots by nisin plus carvacrol increased the RS of L. monocytogenes to irradiation by 2.74 times while coated carrots by nisin and nisin plus carvacrol increased the RS of Salmonella Typhimurium to irradiation by 2.46 and 2.52, respectively. CONCLUSIONS: The combined EO with nisin and irradiation could increase the RS of L. monocytogenes and Salmonella Typhimurium.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".