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iConcept Journal of Computational and Mathematical Biology
iConcept Journal of Computational and Mathematical Biology
Maurice Ling
iConcept Press

iConcept Journal of Computational and Mathematical Biology

Lung Deposition of Particle Aggregates Generated With a Random Walk Model

by Robert Sturm

Volume: 6 (2017); Issue: 1


In this contribution an innovative model for the generation of particle aggregates of different com-plexity and size is introduced. The approach is based on a random walk algorithm enabling the con-struction of cluster-, chain- or disk-shaped aggregates. In a second part, deposition of different ag-gregates in the human respiratory tract was simulated. Aggregate particles consisted of 1-nm spheres, which were sticked together by 10-step, 100-step, and 1,000-step random walks, resulting in particulate structures with variable complexity. Both regional and local lung deposition of such aggregates depend on the size of the particulate structures and the breathing conditions prevailing during particle uptake. In general, larger aggregates taken up into the respiratory tract by fast inhalation (heavy-work breathing) are deposited more effectively in deeper lung regions smaller aggregates taken up by slow inhalation (sitting breathing).

Author Details

Robert Sturm
Material Sciences and Physics, University of Salzburg

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