Literature DB >> 30463458

Use of computational fluid dynamics deposition modeling in respiratory drug delivery.

P Worth Longest1,2, Karl Bass1, Rabijit Dutta1, Vijaya Rani1, Morgan L Thomas1, Ahmad El-Achwah1, Michael Hindle2.   

Abstract

INTRODUCTION: Respiratory drug delivery is a surprisingly complex process with a number of physical and biological challenges. Computational fluid dynamics (CFD) is a scientific simulation technique that is capable of providing spatially and temporally resolved predictions of many aspects related to respiratory drug delivery from initial aerosol formation through respiratory cellular drug absorption. AREAS COVERED: This review article focuses on CFD-based deposition modeling applied to pharmaceutical aerosols. Areas covered include the development of new complete-airway CFD deposition models and the application of these models to develop a next-generation of respiratory drug delivery strategies. EXPERT OPINION: Complete-airway deposition modeling is a valuable research tool that can improve our understanding of pharmaceutical aerosol delivery and is already supporting medical hypotheses, such as the expected under-treatment of the small airways in asthma. These complete-airway models are also being used to advance next-generation aerosol delivery strategies, like controlled condensational growth. We envision future applications of CFD deposition modeling to reduce the need for human subject testing in developing new devices and formulations, to help establish bioequivalence for the accelerated approval of generic inhalers, and to provide valuable new insights related to drug dissolution and clearance leading to microdosimetry maps of drug absorption.

Entities:  

Keywords:  CFD simulations; Pharmaceutical aerosols; aerosol deposition; aerosol dosimetry; airway models; bioequivalence; complete-airway modeling; inhalers; whole-lung CFD modeling

Mesh:

Substances:

Year:  2018        PMID: 30463458      PMCID: PMC6529297          DOI: 10.1080/17425247.2019.1551875

Source DB:  PubMed          Journal:  Expert Opin Drug Deliv        ISSN: 1742-5247            Impact factor:   6.648


  151 in total

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