Literature DB >> 17894536

Computational analyses of a pressurized metered dose inhaler and a new drug-aerosol targeting methodology.

Clement Kleinstreuer1, Huawei Shi, Zhe Zhang.   

Abstract

The popular pressurized metered dose inhaler (pMDI), especially for asthma treatment, has undergone various changes in terms of propellant use and valve design. Most significant are the choice of hydrofluoroalkane-134a (HFA-134a) as a new propellant (rather than chlorofluorocarbon, CFC), a smaller exit nozzle diameter and attachment of a spacer in order to reduce ultimately droplet size and spray inhalation speed, both contributing to higher deposition efficiencies and hence better asthma therapy. Although asthma medicine is rather inexpensive, the specter of systemic side effects triggered by inefficient pMDI performance and the increasing use of such devices as well as new targeted drug-aerosol delivery for various lung and other diseases make detailed performance analyses imperative. For the first time, experimentally validated computational fluid-particle dynamics technique has been applied to simulate airflow, droplet spray transport and aerosol deposition in a pMDI attached to a human upper airway model, considering different device propellants, nozzle diameters, and spacer use. The results indicate that the use of HFA (replacing CFC), smaller valve orifices (0.25 mm instead of 0.5 mm) and spacers (ID = 4.2 cm) leads to best performance mainly because of smaller droplets generated, which penetrate more readily into the bronchial airways. Experimentally validated computer simulations predict that 46.6% of the inhaled droplets may reach the lung for an HFA-pMDI and 23.2% for a CFC-pMDI, both with a nozzle-exit diameter of 0.25 mm. Commonly used inhalers are nondirectional, and at best only regional drug-aerosol deposition can be achieved. However, when inhaling expensive and aggressive medicine, or critical lung areas have to be reached, locally targeted drug-aerosol delivery is imperative. For that reason the underlying principle of a future line of "smart inhalers" is introduced. Specifically, by generating a controlled air-particle stream, most of the inhaled drug aerosols reach predetermined lung sites, which are associated with specific diseases and/or treatments. Using the same human upper airway model, experimentally confirmed computer predictions of controlled particle transport from mouth to generation 3 are provided.

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Year:  2007        PMID: 17894536     DOI: 10.1089/jam.2006.0617

Source DB:  PubMed          Journal:  J Aerosol Med        ISSN: 0894-2684


  13 in total

1.  Effect of Inhalation Flow Rate on Mass-Based Plume Geometry of Commercially Available Suspension pMDIs.

Authors:  Daniel F Moraga-Espinoza; Eli Eshaghian; Albert Shaver; Hugh D C Smyth
Journal:  AAPS J       Date:  2018-07-12       Impact factor: 4.009

2.  Targeting aerosol deposition to and within the lung airways using excipient enhanced growth.

Authors:  Geng Tian; P Worth Longest; Xiang Li; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2013-01-03       Impact factor: 2.849

Review 3.  Mechanisms of pharmaceutical aerosol deposition in the respiratory tract.

Authors:  Yung Sung Cheng
Journal:  AAPS PharmSciTech       Date:  2014-02-22       Impact factor: 3.246

4.  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 5.  In silico models of aerosol delivery to the respiratory tract - development and applications.

Authors:  P Worth Longest; Landon T Holbrook
Journal:  Adv Drug Deliv Rev       Date:  2011-05-27       Impact factor: 15.470

Review 6.  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

7.  Validating CFD Predictions of Pharmaceutical Aerosol Deposition with In Vivo Data.

Authors:  Geng Tian; Michael Hindle; Sau Lee; P Worth Longest
Journal:  Pharm Res       Date:  2015-05-06       Impact factor: 4.200

Review 8.  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

9.  Development of characteristic upper tracheobronchial airway models for testing pharmaceutical aerosol delivery.

Authors:  Ross L Walenga; Geng Tian; P Worth Longest
Journal:  J Biomech Eng       Date:  2013-09       Impact factor: 2.097

10.  Switching from CFC to HFA Inhalers: What NPs and Their Patients Need to Know.

Authors:  Barbara Velsor-Friedrich; Lisa Kinsella Militello; Kelly K Zinn; Darla K DeWolff
Journal:  Am J Nurse Pract       Date:  2009-10
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