What is it about?
The model was created in order to enable estimates of deposition of drug particles over complete inhalation cycles. It provides deposition estimates in the deep lung (bronchial generations > 10) and the acinar regions.
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Why is it important?
The predictions of the new model are shown to be aligned with those of traditional 1D models (NCRP), but it has the advantage of being able to provide a much more detailed view of deposition in the deep lung and of being easily customizable.
Perspectives
We are actively pursuing further extensions and customizations of the model that we hope to report to the community in the near future.
Professor Stavros Kassinos
University of Cyprus
Read the Original
This page is a summary of: An efficient Computational Fluid-Particle Dynamics method to predict deposition in a simplified approximation of the deep lung, European Journal of Pharmaceutical Sciences, September 2017, Elsevier,
DOI: 10.1016/j.ejps.2017.09.016.
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