Efficacy of oxidative disinfectants, quaternary ammonium compounds and dry heat on the inactivation of Salmonella Enteritidis in different cellular states
Bibliographic record
Abstract
The investigation of disinfection methods with different antimicrobial mechanisms is of utmost importance in determining inactivation kinetics pertaining to various cellular states of Salmonella . The present study evaluated the effectiveness of different conventional and novel disinfectants against the inactivation of suspended and desiccated Salmonella enterica Enteritidis FUA1946. A comparative study was conducted to evaluate the efficacy of various disinfection methods, including dry heat, membrane-acting benzalkonium chloride (BAC), conventional oxidizing agents such as peracetic acid (PAA) and hydrogen peroxide (H 2 O 2 ) in the inactivation of S. Enteritidis. Further, the efficacy of novel oxidizers such as plasma-activated water bubbles (PAWB) and plasma-activated hydrogen peroxide water bubbles (PAHP-WB) was evaluated against the suspended and desiccated S. Enteritidis. The results showed that the disinfectant concentration, treatment temperature, and treatment time significantly affected the susceptibility of the S. Enteritidis to disinfection methods. Compared to the surface-dried cells, the S. Enteritidis suspensions displayed a higher lethality to the tested disinfectants. The results revealed a greater resistance of the air-dried and equilibrated S. Enteritidis on the stainless steel to dry heat, BAC, H 2 O 2 , and PAWB. The PAA treatment 40 °C displayed high efficacy against the S. Enteritidis on the stainless steel. This emphasizes the need to incorporate effective disinfection programmes to prevent the spread of S. Enteritidis in dry processing environments. Moreover, conducting a comparative analysis of the diverse cellular states of bacteria is crucial in the context of disinfection of the low- a w food processing industry. • Drying conditions affects survival of Salmonella on the stainless steel. • Disinfection efficacy varies based on the cellular states of Salmonella. • PAWB and PAHP-WB possesses a potential for surface disinfection.
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".