Nasal Aerosol Simulation
Nasal Aerosol Simulation - Related Videos
15:04
Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols
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Cited by 18 •
2016
This manuscript reviews the modeling and simulations of different protocols to deliver medications to the olfactory region in image-based nasal airway models. Multiple software modules are used to develop the anatomically accurate nose model, generate computational mesh, simulate nasal airflows, and predict particle deposition at the olfactory region.
05:50
Intranasal Delivery of mRNA Polyplexes via Rayleigh Breakup Aerosols: An In Vitro Method for Nasal Deposition and Functional Testing
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2026
This protocol presents Rayleigh breakup as a mild process for aerosolizing non-viral mRNA vectors. Regional deposition for aerosolized mRNA vectors is evaluated by the Alberta Idealized Nasal Inlet (AINI) model. Green fluorescence protein (GFP) expression in human lung cells represents maintenance of physicochemical and biological functions of post-aerosolized mRNA vectors.
10:11
Whole-Body Nanoparticle Aerosol Inhalation Exposures
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Cited by 51 •
2013
A whole-body nanoparticle aerosol inhalation exposure facility was constructed for nano-sized titanium dioxide (TiO2) inhalation toxicology studies. This system provides nano-TiO2 aerosol test atmospheres that have: 1) a steady mass concentration; 2) a homogenous composition free of contaminants; and 3) a stable particle size distribution during aerosol generation.
04:30
A Technique to Generate and Deliver Drug Aerosols Directly to Mouse Lungs
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2025
This video demonstrates the generation of drug aerosols and the targeted nose-only delivery of these aerosols to mice using an inhalation unit equipped with an aerosol generator. The mouse is restrained in a nose-only restrainer and connected to the inhalation unit, which delivers the drug directly into the mouse's nasal cavity. Subsequently, the drug passes through the trachea and enters the lungs.
12:59
A System to Create Stable Nanoparticle Aerosols from Nanopowders
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Cited by 4 •
2016
We designed and developed an effective nanopowder aerosolization setup and operating protocol. The system generated nanoparticle aerosols with stable number concentrations and size distributions for long durations, requiring only small quantities of test material (min. 200 mg).
FAQs
Particle size changes the balance among inertial impaction, sedimentation, and diffusion, so simulations can examine where material is likely to accumulate within different nasal regions. Modeling these mechanisms together is more informative than relying on particle size alone. The resulting deposition pattern helps evaluate whether an aerosol reaches the intended intranasal treatment area.
Anatomical representation and airflow conditions shape the predicted path of an aerosol through the nose. Changes in nasal geometry or breathing conditions can alter transport and regional deposition, making the same aerosol behave differently across modeled situations. Including these physiological features allows investigators to connect calculated deposition with nasal function rather than evaluating device output in isolation.
Device operation is a key input because the emitted aerosol must be evaluated under the conditions created by the delivery device. Simulations can therefore compare spray devices and test how administration parameters affect transport and deposition. This links device performance to nasal physiology and supports more deliberate optimization of intranasal delivery.
A model begins by representing nasal anatomy, then specifies airflow conditions, aerosol properties, and delivery-device operation. It predicts particle or droplet transport through the passages and estimates deposition patterns using relevant mechanisms. This workflow lets investigators change one or more inputs systematically and examine how those changes influence expected regional delivery.
It is useful when different spray devices or operating conditions may produce different deposition outcomes. By holding relevant anatomical or airflow assumptions consistent, investigators can compare predicted transport and regional deposition across devices. The comparison can guide selection or refinement of delivery approaches for intranasal therapies, without treating device output as independent of nasal physiology.
In medicine, the approach supports evaluation of intranasal drug delivery and optimization of formulation and administration parameters. It also helps investigate how particle size and breathing patterns influence regional deposition. These outputs can inform treatment targeting and the development of safer, more efficient aerosol-based interventions by connecting controllable delivery choices with predicted nasal outcomes.