Combined enzymes and Aleppo pine essential oil to control <i>Cronobacter sakazakii</i> biofilms on stainless steel and plastic surfaces
Bibliographic record
Abstract
This study aimed to investigate the antibiofilm activity of Aleppo pine essential oil (APEO); hydrolytic enzyme mixtures or their combination in two sequential washing steps against C. sakazakii on plastic and stainless steel surfaces. The minimum inhibitory (MIC) and minimum bactericidal concentrations (MBC) of APEO against C. sakazakii strains were 500–1,000 µg/ml, and 1,000–4,000 µg/ml, respectively. Further, APEO showed antibiofilm activity where 4 × MIC APEO at 25 °C for 30 min reduced C. sakazakii cells by 1.8 and 1.6 log CFU/coupon on plastic and stainless steel, respectively. Similarly, both enzyme mixtures reduced the C. sakazakii cells attached to both surfaces by 1.7–2.2 log CFU/coupon. However, the two-step sequential cleaning regime with enzyme mixture of 10% protease, 5% α-amylase, and 1% lipase at 50 °C for 30 min followed by 4 × MIC APEO for 30 min reduced C. sakazakii biofilm on both surfaces by 4.4–4.5 log CFU/coupon compared to the control.
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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".