Factors affecting the sterility of work areas in barrier isolators and a biological safety cabinet
Bibliographic record
Abstract
Factors affecting the sterility of the work area in barrier isolators and a biological safety cabinet (BSC) were studied. A study in a mother-and-child tertiary care teaching hospital in Canada examined the effects of a range of variables on the sterility of work areas in four barrier isolators and a standard BSC. The variables consisted of type of equipment (barrier isolator or BSC), day of the week (Monday through Thursday), time of day (0800-1000, 1000-1200, 1200-1400, and 1400-1600), sampling site (16 surfaces and 5 air sedimentation zones), type of product prepared (antimicrobial, total parenteral nutrient solution, etc.), cleaning procedure (before or after primary cleaning), and level of product preparation activity (none to intense). A total of 657 surface and air sedimentation samples, 327 plated onto Trypticase soy agar (TSA) and 330 onto Sabouraud dextrose agar (SAB-D), were taken during a 20-day period. Thirty-three (5%) of the samples yielded microbial growth when cultured (24 on TSA and 9 on SAB-D). A total of 74 isolates were identified, including Bacillus, Staphylococcus, Penicillium, Micrococcus, Corynebacterium, and Mucor species. Single-variable analysis showed that sampling site, sample type, the time of day samples were taken, and the types of equipment contributed significantly to microbial growth in the samples taken. Several variables were associated with microbial growth in samples from the work areas of barrier isolators and a BSC. More study is needed to compare BSCs and barrier isolators with respect to sterility.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".