Author(s)

T. Martonen & K.K. Isaacs

Abstract

To accurately assess the threat to human health presented by airborne contaminants, it is necessary to know the deposition patterns of particulate matter (PM) within the respiratory system. To provide a foundation for computational toxicology, we have developed an in silico model which describes the behavior and fate of inhaled PM. It is intended to be employed in a complementary manner with human subject experiments. The key components of the model are algorithms defining the morphology of the respiratory system, breathing conditions, and PM characteristics. The model gives spatial deposition patterns within huma

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