Pulmonary drug delivery and retention: a computational study to identify plausible parameters based on a coupled airway-mucus flow model
Aranyak Chakravarty, Mahesh V. Panchagnula, Alladi Mohan, Neelesh, A. Patankar

TL;DR
This study develops a coupled airway-mucus flow model to analyze pulmonary drug delivery, identifying optimal aerosol sizes and breathing conditions for effective deep lung targeting, which can improve drug efficacy and reduce side effects.
Contribution
It introduces a computational model that couples aerosol transport and mucus flow to optimize pulmonary drug delivery parameters for deep lung targeting.
Findings
Aerosols of 1-5 μm are most effective for deep lung delivery.
Doubling breathing time increases drug deposition in deep lungs by a factor of 2.
Breath control can enhance drug delivery efficacy and reduce required dosage.
Abstract
Pulmonary drug delivery systems rely on inhalation of drug-laden aerosols produced from aerosol generators such as inhalers, nebulizers etc. On deposition, the drug molecules diffuse in the mucus layer and are also subjected to mucociliary advection which transports the drugs away from the initial deposition site. The availability of the drug at a particular region of the lung is, thus, determined by a balance between these two phenomena. A mathematical analysis of drug deposition and retention in the lungs is developed through a coupled mathematical model of aerosol transport in air as well as drug molecule transport in the mucus layer. The mathematical model is solved computationally to identify suitable conditions for the transport of drug-laden aerosols to the deep lungs. This study identifies the conditions conducive for delivering drugs to the deep lungs which is crucial for…
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Taxonomy
TopicsInhalation and Respiratory Drug Delivery
