Improving plasma sterilization by constructing a plasma photocatalytic system with a needle array corona discharge and Au plasmonic nanocatalyst
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Efficient sterilization by a plasma photocatalytic system (PPS) requires strong synergy between plasma and photocatalyst to inactivate microorganisms while suppressing the formation of secondary pollutants. Here, we report that a PPS constructed from a needle array corona discharge and Au/TiO 2 plasmonic nanocatalyst could remarkably improve the sterilization of Escherichia coli ( E. coli ) and alleviate formation of the discharge pollutant O 3 . At 6 kV, the combination of corona discharge and Au/TiO 2 achieves sterilization efficiency of 100% within an exposure time of 5 min. At 5 kV and an exposure time of 8 min, the presence of Au/TiO 2 improves sterilization efficiency of the corona discharge from 73% to 91% and reduces the O 3 concentration from 0.38 to 0.04 ppm, whereas the presence of TiO 2 reduces the sterilization efficiency and O 3 concentration to 66% and 0.17 ppm, respectively. The Au/TiO 2 in the PPS enables a uniform corona discharge, enhances the interaction between plasma, E. coli and nanocatalysts, and suppresses the formation of O 3 . Further, the Au/TiO 2 can be excited by ultraviolet–visible light emitted from the plasma to generate electron–hole pairs, and thus contributes to the formation of reactive radicals and the oxidative inactivation of E. coli . The PPS constructed from a needle array corona discharge and Au-based plasmonic nanocatalyst provides a promising approach for developing high-efficiency sterilization techniques.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it