Literature DB >> 29941306

Development of an infant complete-airway in vitro model for evaluating aerosol deposition.

Karl Bass1, P Worth Longest2.   

Abstract

A complete-airway in vitro model would be very useful for toxicological dosimetry testing and for developing targeted inhaled medications in cases where conducting in vivo experiments are exceedingly difficult, as with infants. The objective of this study was to determine whether packed bed in vitro models, which contain spheres as the primary repeating unit, provide a realistic representation of aerosol deposition in the tracheobronchial region of infant lungs based on computational fluid dynamics (CFD) predictions. The packed bed (PB) CFD model contained an inlet consistent with airway bifurcation B3 (∼lobar bronchi) leading to a spherical array with voids between the spheres forming a divided flow pathway. The hydrodynamic diameter of the voids was approximately matched to the diameter of bifurcations in various lung regions. For comparison, a CFD stochastic individual pathway (SIP) geometry with realistic bifurcations extending from B4-B15 (terminal bronchioles) was selected as an anatomically accurate model. The CFD-SIP model predictions were benchmarked with existing algebraic correlations for aerosol deposition in the lungs and found to be reasonable. Unfortunately, the CFD-PB model did not provide a good representation of aerosol deposition in the tracheobronchial region of human lungs. Through careful selection of the PB sphere size and inlet conditions, total deposition in the CFD-PB model matched CFD-SIP deposition within 10% absolute error across a range of relevant aerosol sizes. However, regional deposition within the CFD-PB model was very different from the CFD-SIP case. Therefore, the PB approach cannot be recommended for determining spatial or temporal distribution of aerosol transport and impaction deposition through the lungs.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Aerosol deposition; CFD simulation; Complete-airway; In vitro testing of aerosol delivery; Lung model

Year:  2018        PMID: 29941306      PMCID: PMC6309601          DOI: 10.1016/j.medengphy.2018.05.002

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  18 in total

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Journal:  Ann Biomed Eng       Date:  2012-06-03       Impact factor: 3.934

2.  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

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Authors:  Stefan Minocchieri; Juerg Martin Burren; Marc Aurel Bachmann; Georgette Stern; Johannes Wildhaber; Stefan Buob; Ralf Schindel; Richard Kraemer; Urs Peter Frey; Mathias Nelle
Journal:  Pediatr Res       Date:  2008-08       Impact factor: 3.756

Review 4.  Recent advances in predictive understanding of respiratory tract deposition.

Authors:  Warren H Finlay; Andrew R Martin
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2008-06       Impact factor: 2.849

5.  Accuracy and resolution power of aerosol-derived airway morphometry in a simple lung model.

Authors:  P Brand; T Selzer; T Tuch; A Schulz; J Heyder
Journal:  Exp Lung Res       Date:  1994 May-Jun       Impact factor: 2.459

6.  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

7.  The Sophia Anatomical Infant Nose-Throat (Saint) model: a valuable tool to study aerosol deposition in infants.

Authors:  H M Janssens; J C de Jongste; W J Fokkens; S G Robben; K Wouters; H A Tiddens
Journal:  J Aerosol Med       Date:  2001

8.  A Quasi-3D compartmental multi-scale approach to detect and quantify diseased regional lung constriction using spirometry data.

Authors:  Ravishekar Ravi Kannan; Narender Singh; Andrzej Przekwas
Journal:  Int J Numer Method Biomed Eng       Date:  2018-03-30       Impact factor: 2.747

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.  Experimental measurements and empirical modelling of the regional deposition of inhaled particles in humans.

Authors:  T L Chan; M Lippmann
Journal:  Am Ind Hyg Assoc J       Date:  1980-06
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