Inactivation of <i>Bacillus subtilis</i> on gypsum board using aerosolized chemical agents
Bibliographic record
Abstract
The ability of aerosolized disinfectant agents to reach exterior and interior spaces of walls and other difficult to access areas has potential as a remediation technique for contained biological contamination. Bacillus subtilis were evaluated against aerosolized solutions of distilled water (dH2O, control), 0.05% chlorine dioxide (ClO2), and 0.6% sodium hypochlorite (NaOCl). Bacillus subtilis endospores were inoculated onto commercially available gypsum board with paper facing. Aerosols generated from a collison nebulizer were directed into a sterile contact chamber housing the inoculated gypsum board for 4, 8, and 12 hour periods. Independent evaluations were conducted of the gypsum board where the organism B. subtilis were exposed to the aerosolized disinfectant. Treatment effects were evaluated through the collection of surface samples before and after exposures. The aerosolized 0.6% sodium hypochlorite solution was the only treatment successful in reducing the total concentration of B. subtilis. Treatment with sodium hypochlorite solution reduced B. subtilis organisms by 1.55-log after 4 h, 1.92-log after 8 h, and 2.50-log after 12 h of exposure, though the difference in log-reduction between exposure periods were not statistically significant.
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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".