Abstract
The administration of drug and vaccine using pMDI through mouth in a human respiratory tract (HRT) is important for treatment of local and systemic diseases. Computational fluid dynamics (CFD) is used to gain an insight on the effect of various parameters on aerosol drug deposition in a CT-scan-based three-dimensional model of human respiratory tract (HRT). In the present study, the aerosol drug deposition is estimated using discrete phase model (DPM) and LRN k-ω turbulence model in CFD. The effect of variation of inhalation rates, particle size, aerosol injection velocity, nozzle spray angle on aerosol deposition efficiency in oral cavity and up to sixth-generation bronchi model was studied. The results reveal that optimum nozzle spray angle is around 45–50°, the particle size should be below 5 μm, and inhalation rate above 40 L/min. The outcome of the present study will be helpful for efficient design of pMDI inhaler and for the effective treatment of respiratory and other diseases.
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Acknowledgements
This research work reported in the paper was supported by a R&D project entitled Prototype Development of Dry Powder Inhaler (DPI) for Pulmonary Drug delivery sanctioned by the Council of Science and Technology, Government of Uttar Pradesh (India) vide sanction letter no. CST/D-8249 dated 7th March 2018.
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Srivastav, V.K., Jain, A., Paul, A.R. (2021). Computational Studies of Aerosolized Drug Deposition in Human Respiratory Tract. In: Venkatakrishnan, L., Majumdar, S., Subramanian, G., Bhat, G.S., Dasgupta, R., Arakeri, J. (eds) Proceedings of 16th Asian Congress of Fluid Mechanics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-5183-3_2
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