Use of the Next Generation Pharmaceutical Impactor for Particle Size Distribution Measurements of Live Viral Aerosol Vaccines
Bibliographic record
Abstract
Aerosol administration of live measles vaccine virus has proven to be extremely efficacious in field trials using an industrial compressor coupled to a disposable nebulizer (IPI). To develop a new system for administration, it is necessary to characterize the operating characteristics of the old system. There are no standardized techniques for measuring particle size of live biological agents. This study evaluated the Next Generation Pharmaceutical Impactor's (NGI) ability to particle size wet aerosols in an effort to measure the particle size distribution of live measles vaccine from the IPI nebulizer. As a control albuterol was aerosolized using a Pari LC Star, since the soluble albuterol is evenly distributed throughout the droplets and laser diffraction measurements should agree with those from the NGI, as long as the NGI is cooled to prevent heat transfer to the aerosol. Albuterol was also used as a control for the IPI using quantitative ultraviolet spectrophotometry. There was close agreement in MMD (mean +/- 95% CI) for the LC Star, measured by laser diffraction (3.24 +/- 0.06 microm) and the NGI (2.93 +/- 0.22 microm) and the IPI (4.26 +/- 0.17 and 4.26 +/- 0.24 microm, respectively). For the measles vaccine assayed for plaque forming units, there were significant differences between the NGI MMD (6.14 +/- 0.39 microm) compared to laser diffraction (4.95 +/- 0.16 microm) indicating that the vaccine is not evenly distributed among the droplets of various sizes. This is likely clumping of the virus due to gelatin in the formulation. These data indicate that the NGI is capable of particle sizing live biological agents.
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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 | 0.001 | 0.001 |
| 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".