Determining the time required to disinfect a sponge contaminated with Escherichia coli, using a commercial microwave
Bibliographic record
Abstract
Background: Disinfection and sanitation are important in areas where food is involved. Thorough cleaning is a necessity to prevent growth of harmful pathogens that could affect human health. Sponges used for cleaning can serve as a vehicle for cross-contamination on food preparation surfaces. There are various methods that could be used to disinfect contaminated sponges. The usage of a microwave is one suggested method. Objective: The purpose of this study was to determine if the Scotch-BriteTM Brand, cellulose sponges contaminated with E.coli (105 cfu/ml) could be disinfected using a microwave set at three timings (30 seconds, 1 minute, and 2 minutes). Methods: The Hygiena MicroSnap was used to detect the presence (or absence) of E.coli in sponges after microwave heating. The relative light units (RLU) indicated in the monitor determined whether there were any remaining coliforms in the sample after microwaving. Results: Statistical analysis was conducted using Microsoft Excel and NCSS. After heating sponges for 30 seconds, 100% of the samples detected no E.coli. After heating for 1 minute, 70% of the samples had no E.coli present. After heating for 2 minutes, 100% of the samples detected no E.coli. The p-value of 0.03567 concludes that the results were statistically significant at the 5% significance level. Discussion: The results of this study indicate that sponges contaminated with E.coli can be disinfected using microwave heating. EHOs, food establishment operators, and the general public can use this knowledge to re-use their old sponges and avoid further cross-contamination. Conclusions: The results indicate that microwave time is associated with the presence or absence of E.coli in a sponge. However, E.coli was present in 3 samples microwaved at 1 minute. This suggests further studies are required to confirm the findings of this study. In addition, further studies are required to determine what specific time is sufficient to completely eliminate the E.coli in a contaminated sponge.
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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 | 0.001 |
| 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) | 0.003 | 0.001 |
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".