Evaluation of Nine Positive Pressure Suits for Use in the Biosafety Level-4 Laboratory
Bibliographic record
Abstract
Positive pressure suits are the most recognizable feature of Biosafety Level 4 (BSL-4) laboratories, protecting users both through delivery of umbilical-fed HEPA-filtered air and by providing a positively pressurized microenvironment with respect to the surrounding laboratory space to minimize the possibility of exposure resulting from compromised suit integrity. While many positive pressure suits utilized in the chemical and radiation protection industries could be considered for BSL-4 use, the substantial costs and potential incompatibilities with facility settings prevent many labs from investigating novel alternatives. In the present study, 9 positive pressure suits from 5 different manufacturers were critically assessed for their suitability in the BSL-4 laboratory. Material resistance and compatibility with 5% Micro-Chem Plus™, CO2 exposure levels, and overall user preference were assessed through a combination of objective and subjective testing. Results demonstrated that exposure to 5% Micro-Chem Plus™ had no deleterious effects on the mechanical properties of most suit materials, though some potential incompatibility was observed with butyl fabrics. Real-time monitoring of CO2 levels inside the suits showed a great deal of variation between models, however all suits provided a microenvironment where users were exposed to CO2 levels below 1% during normal activity and less than 2% during periods of disconnect from supply air. Finally, survey results from study participants indicated a strong preference for suits with light construction material, 360-degree visibility, high delivery airflow and gloves that require fixation by taping. By combining the present results with facility-specific factors, laboratories will be better equipped to consider new models that best suit their needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".