Computational investigation of Artemisia pollen deposition in realistic nasal cavities of residents in northwest China

Abstract

Objective: To investigate the deposition rate of Artemisia pollen in different nasal cavity regions and its influence factors in residents of northwest China. Methods: Thirty healthy adults from northwest China were enrolled. The computational fluid dynamics (CFD) and discrete phase model (DPM) were used for numerical simulation of nasal structures. The pollen deposition fraction in each anatomical part was counted and the effects of pollen density and breathing rate on deposition were analyzed. SPSS 19.0 software was used for statistical analysis. Results: The hottest deposition parts of Artemisia pollen were nasal septum (30.70%±12.27%), vestibule (27.45%±8.21%), middle turbinate area (13.59%±8.98%) and nasopharynx (7.14%±5.90%). When the inspiratory flow rate increased to 30 L/min, the deposition rates of pollen in nasal vestibule and nasal septum were significantly higher than that at the rate of 15 L/min (43.20%±11.14% vs 27.45%±8.21%, 51.48%±9.77% vs 30.70%±12.27%, t value was -8.126,-5.264, respectively, all P<0.05), which indicated that with the increase of the inspiratory flow rate, the deposition hotspot moved forward. Compared with the wet Artemisia pollen, the deposition rate of the dry pollen in nasal vestibule and nasal septum decreased significantly (16.55%±4.33% vs 27.45%±8.21%, 7.09%±3.69% vs 30.70%±12.27%, t value was 8.669, 9.173, respectively, all P<0.05). The escape rate at outlet increased from 17.00%±9.57% to 43.48%±13.43% (t=-9.282, P<0.05). Conclusions: The deposition of Artemisia pollen in nasal cavity is highly concentrated. The inhalation velocity and the dry-wet degree of pollen are the main determinants of the deposition site.