Statistical Analysis of Deposition of Aerosol Particles in Human Lungs

Abstract

The article focuses on developing a probabilistic scheme for the ingression of aerosol particles in the different regions of the human lung. The methodology adopted was based on the Monte Carlo technique, which was programmed using the Rust programming language. Around seven samples with different inspiratory capacities were examined using a similar methodology. The total regional deposition obtained through the Rust compiler was compared with corresponding solutions derived from Fortran. Relatively, the solution obtained through Fortran exhibits extreme variabilities while estimating the total regional deposition in the lungs. The results are negative skewness for all the samples. A wide range of variabilities was encountered while computing the total regional deposition fraction at different inspiratory capacities. The reliability of the Fortran compiler varied from 60.65 to 90.48% for every 10 events. The uncertainty in total regional deposition at higher inspiratory capacities was relatively high in the Rust version. There is no definite stochastic pattern at the Tracheo bronchial region observed for larger aerosol particles with the change in inspiratory capacities of some subjects. The rise in the inspiratory capacities of the subjects increases the probability of deposition of smaller aerosol particles to sediment in the Alveolar region. In some cases, the bimodal probability distribution pattern was noticed for the total regional deposition of aerosol particles. In addition, a wide range of extreme deviations was also observed in the solution derived from the Fortran version. The results obtained through the adopted methodology exhibited statistical significance in the context of the variation of aerosol size particles and their regional deposition in the human lungs.