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Humidified and Heated Cascade Impactor for Aerosol Sizing
Caroline Majoral1,2, Allan L Coates3, Alain Le Pape1,2
1INSERM, Research Center for Respiratory Diseases, Tours, France.
Frontiers in Bioengineering and Biotechnology
|December 7, 2020
Summary
Measuring aerosol particle size at human physiological temperature and humidity (HPTH) is crucial. This study developed a new method using a cascade impactor, revealing significant differences in aerosol deposition relevant for inhalation therapies.
Area of Science:
- Pharmaceutical Sciences
- Aerosol Science and Technology
- Respiratory Drug Delivery
Background:
- Aerosol particle sizing is typically performed under ambient conditions.
- Human airways present a unique environment of 37°C and 100% relative humidity (HPTH).
- Ambient condition measurements may not accurately reflect particle behavior and deposition in the airways.
Purpose of the Study:
- To develop and validate a novel method for measuring aerosol particle size distribution at HPTH.
- To assess the impact of HPTH conditions on particle size for various medical aerosol devices.
- To evaluate the relevance of HPTH measurements for improving aerosol deposition predictions.
Main Methods:
- Construction of a heated and humidified artificial trachea model.
- Adaptation of a cascade impactor to operate at 37°C and 100% relative humidity.
- Testing of four medical aerosol types (jet nebulizer, mesh nebulizer, pMDI, DPI) under both ambient and HPTH conditions.
Main Results:
- Lower Mass Median Aerodynamic Diameter (MMAD) was observed at HPTH for jet and mesh nebulizers.
- pMDI particle size remained similar between ambient and HPTH conditions.
- DPI showed a reduced mass of particles <5 μm at HPTH (51.9 vs. 82.8 μg/puff).
Conclusions:
- A new method for measuring aerosol particle size at HPTH was successfully developed and evaluated.
- HPTH conditions significantly influence particle size and distribution for certain inhalation devices.
- This method has relevance for enhancing the precision of aerosol deposition predictions in respiratory airways.

