title: Comparison of stochastic lung deposition fractions with experimental data.
abstract: Deposition fractions of inhaled particles predicted by different computational models vary with respect to physical and biological factors and mathematical modeling techniques. These models must be validated by comparison with available experimental data. Experimental data supplied by different deposition studies with surrogate airway models or lung casts were used in this study to evaluate the stochastic deposition model Inhalation, Deposition and Exhalation of Aerosols in the Lung at the airway generation level. Furthermore, different analytical equations derived for the three major deposition mechanisms, diffusion, impaction, and sedimentation, were applied to different cast or airway models to quantify their effect on calculated particle deposition fractions. The experimental results for ultrafine particles (0.00175 and 0.01) were found to be in close agreement with the stochastic model predictions; however, for coarse particles (3 and 8 μm), experimental deposition fractions became higher with increasing flow rate. An overall fair agreement among the calculated deposition fractions for the different cast geometries was found. However, alternative deposition equations resulted in up to 300% variation in predicted deposition fractions, although all equations predicted the same trends as functions of particle diameter and breathing conditions. From this comparative study, it can be concluded that structural differences in lung morphologies among different individuals are responsible for the apparent variability in particle deposition in each generation. The use of different deposition equations yields varying deposition results caused primarily by (i) different lung morphometries employed in their derivation and the choice of the central bifurcation zone geometry, (ii) the assumption of specific flow profiles, and (iii) different methods used in the derivation of these equations.
authors: Division of Physics and Biophysics, Department of Materials Research and Physics, University of Salzburg, Hellbrunnerstrasse 34, A-5020 Salzburg, Austria. majid.hussain@stud.sbg.ac.at
authors: Hussain
authors: H
authors: Majid
authors: Werner
authors: W
authors: Hofmann
authors: Renate
authors: R
authors: Winkler-Heil
mesh_terms: D000336:Aerosols / Q000032:analysis*; D003198:Computer Simulation; D004058:Diffusion; D006801:Humans; D008168:Lung / Q000502:physiology*; D008954:Models, Biological; D010316:Particle Size; D012107:Research Design; D012137:Respiratory System; D013269:Stochastic Processes
chemical_list: D000336:Aerosols