Literature DB >> 18336809

Quantification of particle deposition in asymmetrical tracheobronchial model geometry.

Arpád Farkas1, Imre Balásházy.   

Abstract

The primary objective of this study was to quantify the local inspiratory and expiratory aerosol deposition in a highly asymmetric five-generation tracheobronchial tree. User-enhanced commercial codes and self-developed software was used to compute the air velocity field as well as particle deposition distributions for a large size range of inhalable particles. The numerical model was validated by comparison of our results with experimental flow measurements and particle deposition data available in the open literature. Our simulations show highly localised deposition patterns for all particle sizes, but mainly for the larger particles. As expected, deposition efficiencies and deposition fractions proved to be very sensitive to the particle size. The deposition density in the hot spots can be hundreds and even thousand times higher than the mean deposition density. Present results can be of interest to researchers involved in the assessment of adverse health effects of inhaled aerosols or optimising the drug aerosol delivery into the lung.

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Year:  2008        PMID: 18336809     DOI: 10.1016/j.compbiomed.2008.01.014

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  12 in total

1.  Importance of airway geometry and respiratory parameters variability for particle deposition in the human respiratory tract.

Authors:  Tomasz R Sosnowski
Journal:  J Thorac Dis       Date:  2011-09       Impact factor: 2.895

2.  Modeling the dynamics of airway constriction: effects of agonist transport and binding.

Authors:  Samir D Amin; Arnab Majumdar; Urs Frey; Béla Suki
Journal:  J Appl Physiol (1985)       Date:  2010-05-27

3.  Effect of site-specific bronchial radon progeny deposition on the spatial and temporal distributions of cellular responses.

Authors:  Arpád Farkas; Werner Hofmann; Imre Balásházy; István Szoke; Balázs G Madas; Mona Moustafa
Journal:  Radiat Environ Biophys       Date:  2011-02-15       Impact factor: 1.925

4.  Does the number of irradiated cells influence the spatial distribution of bystander effects?

Authors:  A Belchior; I Balásházy; O Monteiro Gil; P Vaz; P Almeida
Journal:  Dose Response       Date:  2014-07-17       Impact factor: 2.658

5.  Regional deposition of particles in an image-based airway model: large-eddy simulation and left-right lung ventilation asymmetry.

Authors:  Andrew R Lambert; Patrick O'Shaughnessy; Merryn H Tawhai; Eric A Hoffman; Ching-Long Lin
Journal:  Aerosol Sci Technol       Date:  2011-01       Impact factor: 2.908

6.  Anatomy matters: The role of the subject-specific respiratory tract on aerosol deposition - A CFD study.

Authors:  Jana Wedel; Paul Steinmann; Mitja Štrakl; Matjaž Hriberšek; Yan Cui; Jure Ravnik
Journal:  Comput Methods Appl Mech Eng       Date:  2022-07-28       Impact factor: 6.588

7.  The Creation and Statistical Evaluation of a Deterministic Model of the Human Bronchial Tree from HRCT Images.

Authors:  Spyridon Montesantos; Ira Katz; Marine Pichelin; Georges Caillibotte
Journal:  PLoS One       Date:  2016-12-15       Impact factor: 3.240

8.  Polydisperse Microparticle Transport and Deposition to the Terminal Bronchioles in a Heterogeneous Vasculature Tree.

Authors:  Mohammad S Islam; Suvash C Saha; Tevfik Gemci; Ian A Yang; Emilie Sauret; Y T Gu
Journal:  Sci Rep       Date:  2018-11-06       Impact factor: 4.379

9.  Euler-Lagrange Prediction of Diesel-Exhaust Polydisperse Particle Transport and Deposition in Lung: Anatomy and Turbulence Effects.

Authors:  Mohammad S Islam; Suvash C Saha; Tevfik Gemci; Ian A Yang; Emilie Sauret; Zoran Ristovski; Y T Gu
Journal:  Sci Rep       Date:  2019-08-27       Impact factor: 4.379

10.  Airflow and Particle Transport Prediction through Stenosis Airways.

Authors:  Parth Singh; Vishnu Raghav; Vignesh Padhmashali; Gunther Paul; Mohammad S Islam; Suvash C Saha
Journal:  Int J Environ Res Public Health       Date:  2020-02-10       Impact factor: 3.390

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