Literature DB >> 22063020

The use of computational approaches in inhaler development.

William Wong1, David F Fletcher, Daniela Traini, Hak-Kim Chan, Paul M Young.   

Abstract

Computational Fluid Dynamics (CFD) and Discrete Element Modelling (DEM) studies relevant to inhaled drug delivery are reviewed. CFD is widely used in device design to determine airflow patterns and turbulence levels. CFD is also used to simulate particles and droplets, which are subjected to various forces, turbulence and wall interactions. These studies can now be performed routinely because of the availability of commercial software containing high quality turbulence and particle models. DEM allows for the modelling of agglomerate break-up upon interaction with a wall or due to shear in the flow. However, the computational cost is high and the number of particles that can be simulated is minimal compared with the number present in typical inhaled formulations. Therefore DEM is currently limited to fundamental studies of break-up mechanisms. With decreasing computational limitations, simulations combining CFD and DEM that can address outstanding issues in agglomerate break-up and dispersion will be possible. Copyright Â
© 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22063020     DOI: 10.1016/j.addr.2011.10.004

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  12 in total

1.  Use of Computational Fluid Dynamics (CFD) Dispersion Parameters in the Development of a New DPI Actuated with Low Air Volumes.

Authors:  Worth Longest; Dale Farkas; Karl Bass; Michael Hindle
Journal:  Pharm Res       Date:  2019-05-28       Impact factor: 4.200

2.  Development of a New Inhaler for High-Efficiency Dispersion of Spray-Dried Powders Using Computational Fluid Dynamics (CFD) Modeling.

Authors:  Worth Longest; Dale Farkas
Journal:  AAPS J       Date:  2019-02-07       Impact factor: 4.009

3.  Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates.

Authors:  P Worth Longest; Geng Tian; Navvab Khajeh-Hosseini-Dalasm; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2016-04-15       Impact factor: 2.849

Review 4.  Use of computational fluid dynamics deposition modeling in respiratory drug delivery.

Authors:  P Worth Longest; Karl Bass; Rabijit Dutta; Vijaya Rani; Morgan L Thomas; Ahmad El-Achwah; Michael Hindle
Journal:  Expert Opin Drug Deliv       Date:  2018-12-10       Impact factor: 6.648

Review 5.  Drug-targeting methodologies with applications: A review.

Authors:  Clement Kleinstreuer; Yu Feng; Emily Childress
Journal:  World J Clin Cases       Date:  2014-12-16       Impact factor: 1.337

6.  Aerodynamic factors responsible for the deaggregation of carrier-free drug powders to form micrometer and submicrometer aerosols.

Authors:  P Worth Longest; Yoen-Ju Son; Landon Holbrook; Michael Hindle
Journal:  Pharm Res       Date:  2013-03-08       Impact factor: 4.200

7.  Optimizing Aerosolization Using Computational Fluid Dynamics in a Pediatric Air-Jet Dry Powder Inhaler.

Authors:  Karl Bass; Dale Farkas; Worth Longest
Journal:  AAPS PharmSciTech       Date:  2019-11-01       Impact factor: 3.246

8.  High-Efficiency Dry Powder Aerosol Delivery to Children: Review and Application of New Technologies.

Authors:  Karl Bass; Dale Farkas; Amr Hassan; Serena Bonasera; Michael Hindle; P Worth Longest
Journal:  J Aerosol Sci       Date:  2020-10-14       Impact factor: 3.433

9.  Optimizing the Entrainment Geometry of a Dry Powder Inhaler: Methodology and Preliminary Results.

Authors:  Thomas Kopsch; Darragh Murnane; Digby Symons
Journal:  Pharm Res       Date:  2016-07-11       Impact factor: 4.200

10.  Three-dimensional DEM-CFD analysis of air-flow-induced detachment of API particles from carrier particles in dry powder inhalers.

Authors:  Jiecheng Yang; Chuan-Yu Wu; Michael Adams
Journal:  Acta Pharm Sin B       Date:  2014-01-01       Impact factor: 11.413

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