Inactivation of <i>Escherichia coli</i> K12 Using Atmospheric Gas Plasma Produced from Humidified Working Gas
Bibliographic record
Abstract
Abstract The bactericidal effect of atmospheric gas plasma (AGP) on Escherichia coli K12 cells in 0.9% [w/v] sodium chloride was investigated under normal atmospheric pressure. A plasma‐generating unit was supplied with working gas (air) at 25 °C and a relative humidity (RH) of 0, 14, 32, 43, 50, 60 or 70%. Gas plasma was generated using radio frequency discharge (20 kHz) under atmospheric pressure, and blown onto the surface of an E. coli cell suspension. Seven log‐cycles of cells were completely inactivated within 15 minutes of the start of AGP treatments using working gas at 32, 43, 50 or 60% RH. AGP at 14% RH inactivated only 2 log‐cycles of cells, but no inactivation was observed when air at 0% or 70% RH was used. The inactivation curves were biphasic and the rate constants for both stages were closely related to the RH of the working gas. The rate of cell inactivation was at its maximum at an RH of 43%. The bactericidal effect of the AGP treatment was not a result of ozone generation, however, the moisture content of the working gas was a significant factor in ensuring that E. coli K12 inactivation occurred. The interpretation of these data was that chemical species generated from the water molecules in the working gas were bactericidal in their effects.
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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".