Miniaturized Nebulization Catheters: A New Approach for Delivery of Defined Aerosol Doses to the Rat Lung
Bibliographic record
Abstract
A nebulization catheter technique (AeroProbe) was adapted and evaluated as a new approach for pulmonary delivery of defined aerosol doses to the rat lung. The lung distribution profile was evaluated by dosing Evans blue and Nile blue dye, respectively, to isolated and perfused rat lungs (IPL) and to the lungs of anesthetized and tracheal-intubated rats. The intratracheal aerosol dosing was synchronized with the inspiration of the lungs. Immediately after dosing, the lungs were dissected into upper- and lower trachea, bronchi, and parenchyma. The dye was then extracted from the tissue samples to determine the regional distribution and the recovery of the aerosol dose in the lungs. The droplet-size distribution and the weight of the delivered aerosol dose were analyzed with laser diffraction and gravimetric analysis respectively. The recovery of the delivered dose was high, 99 +/- 12 and 105 +/- 1%, respectively, in the in vivo administrations and IPL-experiments. The lung distribution profile after aerosol dosing to anesthetized rats was mainly tracheobronchial. Only 12 +/- 4% of the dose was recovered in the lung parenchyma. However, after aerosol dosing to the IPL, 38 +/- 11% of the dose was distributed to the lung parenchyma. At the settings used, the nebulization catheter aerosolized 1-2 microL of liquid per puff using 1-1.5 mL of air. The droplet-size distribution of the generated aerosols was broad (2-8% <3 microm; 10% <4-7 microm; 50% <10-15 microm; and 90% <20-40 microm). The nebulization catheter technique provides a complement to existing methodology for pulmonary drug delivery in small animals. With this new technique, defined aerosol doses can be delivered into the lungs of rats with no need for aerosol dosimetry.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".