Categorization of Lung Morphology Based on FRC and Height: Computer Simulations of Aerosol Deposition

• Published in: Aerosol science and technology Vol. 46; no. 1; pp. 70 - 81
• Main Authors: Pichelin, M., Caillibotte, G., Katz, I., Martonen, T.
• Format: Journal Article
• Language: English
• Published: Colchester Taylor & Francis Group 01.01.2012; Taylor & Francis; Taylor & Francis Ltd
• Subjects: Aerosols; Chemistry; Colloidal state and disperse state; Computer simulation; Deposition; Exact sciences and technology; Flow rates; General and physical chemistry; Human exposure; Lung morphology; Lungs; Mathematical analysis; Mathematical models; Morphology; Particle deposition; Human; Measurement; Particle size; Experimental data; Flow rate; Methodology; Computer simulation; Lung; Male; Deposition rate; Experimental study; Modeling; Recovery; Particle; Individual; Morphology; Aerosols; Aerosol deposition; Models; Technique; Differentiation
• ISSN: 0278-6826; 1521-7388
• DOI: 10.1080/02786826.2011.605816

The aim of this study was to compare the human subject experimental measurements of particle deposition within the lungs using the aerosol bolus technique with the results of analytical modeling as a basis for assessing the influence of lung morphology on inhaled particle deposition patterns. A methodology for scaling the lung morphology, based on a classic symmetric dichotomous model, as a function of both functional residual capacity and height of the investigated population is presented. Because of the availability of deposition data for male and female lung morphologies, these were used as an example to address the importance of adjusting lung morphology in calculating the aerosol deposition rates. In order to represent the 2 groups based on gender enrolled in the experimental study, 2 lung morphologies have been built. An analytical and mechanistic model was used to mimic the bolus delivery technique and simulate the aerosol deposition in each of the 2 groups. Predicted results were compared with experimental data for both total deposition fraction and bolus recovery (fraction of exhaled particles compared with inhaled particles) for 3 flow rates and 3 particle sizes. Good agreement was found between theoretical and measured data, showing the primary importance of the differentiation of the lung morphology to predict the aerosol deposition within human lungs. This study presents a morphological lung model that is adaptable to specific populations (e.g., gender or race), groups (e.g., a clinical study population), or even individuals. Copyright 2012 American Association for Aerosol Research