Literature DB >> 19604060

Deposition of aerosol particles in human lungs: in vivo measurement and modelling.

Chong S Kim1.   

Abstract

The deposition dose and site of inhaled particles within the lung are the key determinants in health risk assessment of particulate pollutants. Accurate dose estimation, however, is a formidable task because aerosol transport and deposition in the lung are governed by many factors whose precise workings are often not fully understood. In vivo human data obtained under controlled environment are most important and provide the primary basis of estimating lung doses. The existing database, however, is not sufficient to cover widely varying exposure conditions encountered during daily activities. Mathematical models thus are used to fill the gap or to extend the range of experimental data and are further used as a tool for analysing the exposure-dose relationship under varying inhalation conditions. In this report we briefly review and discuss our recent studies of in vivo measurement of inhaled particles in normal subjects, subsequent analysis of the data for empirical modelling and an improved mathematical model that can be used for a wide range of applications.

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Year:  2009        PMID: 19604060     DOI: 10.1080/13547500902965286

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  15 in total

1.  Comparing MDI and DPI aerosol deposition using in vitro experiments and a new stochastic individual path (SIP) model of the conducting airways.

Authors:  P Worth Longest; Geng Tian; Ross L Walenga; Michael Hindle
Journal:  Pharm Res       Date:  2012-06       Impact factor: 4.200

Review 2.  Particle transport and deposition: basic physics of particle kinetics.

Authors:  Akira Tsuda; Frank S Henry; James P Butler
Journal:  Compr Physiol       Date:  2013-10       Impact factor: 9.090

3.  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

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

8.  The fractal geometry of bronchial trees differs by strain in mice.

Authors:  Robb W Glenny; Melissa Krueger; Christian Bauer; Reinhard R Beichel
Journal:  J Appl Physiol (1985)       Date:  2020-01-09

9.  Deposition of Particles in the Alveolar Airways: Inhalation and Breath-Hold with Pharmaceutical Aerosols.

Authors:  Navvab Khajeh-Hosseini-Dalasm; P Worth Longest
Journal:  J Aerosol Sci       Date:  2015-01-01       Impact factor: 3.433

10.  Current Inhalers Deliver Very Small Doses to the Lower Tracheobronchial Airways: Assessment of Healthy and Constricted Lungs.

Authors:  Ross L Walenga; P Worth Longest
Journal:  J Pharm Sci       Date:  2016-01-13       Impact factor: 3.534

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