Xinlei Huang, Yaohui Yin, Goutam Saha, Isabella Francis, Suvash C. Saha
{"title":"A Comprehensive Numerical Study on the Transport and Deposition of Nasal Sprayed Pharmaceutical Aerosols in a Nasal‐To‐Lung Respiratory Tract Model","authors":"Xinlei Huang, Yaohui Yin, Goutam Saha, Isabella Francis, Suvash C. Saha","doi":"10.1002/ppsc.202400004","DOIUrl":null,"url":null,"abstract":"Utilizing a computed tomography (CT)‐based realistic nasal‐to‐lung respiratory tract model allows for a comprehensive investigation of the transport and deposition of nasal sprayed aerosols. This study has three main objectives: first, to determine the optimal mesh that achieves the quickest convergence for computational fluid‐particle dynamics (CFPD) simulations of a nasal‐to‐lung nasal respiratory tract by assessing the performance of different element types, sizes, and prism boundary layers; second, to design and validate a numerical method to compare grid data with different mesh structures and densities for simulation result validation; and finally, to observe and analyze fluid‐particle dynamics in the respiratory tract to aid in the development of nasal sprayed medications. This study involves reverse‐engineering a realistic and anatomically accurate respiratory tract model from CT scans. Results reveal that the optimal numerical approach for minimum calculation time is the polyhedral hybrid mesh with four boundary prism layers and the SIMPLE pressure‐velocity coupling scheme. Furthermore, observations of particle dynamics reveal that the vocal cords' location contains a concentration site of deposited small aerosols due to the turbulent airflow in the region. The optimal diameters of nasal sprayed aerosols to target each region are concluded in the end.","PeriodicalId":19903,"journal":{"name":"Particle & Particle Systems Characterization","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particle & Particle Systems Characterization","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/ppsc.202400004","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Utilizing a computed tomography (CT)‐based realistic nasal‐to‐lung respiratory tract model allows for a comprehensive investigation of the transport and deposition of nasal sprayed aerosols. This study has three main objectives: first, to determine the optimal mesh that achieves the quickest convergence for computational fluid‐particle dynamics (CFPD) simulations of a nasal‐to‐lung nasal respiratory tract by assessing the performance of different element types, sizes, and prism boundary layers; second, to design and validate a numerical method to compare grid data with different mesh structures and densities for simulation result validation; and finally, to observe and analyze fluid‐particle dynamics in the respiratory tract to aid in the development of nasal sprayed medications. This study involves reverse‐engineering a realistic and anatomically accurate respiratory tract model from CT scans. Results reveal that the optimal numerical approach for minimum calculation time is the polyhedral hybrid mesh with four boundary prism layers and the SIMPLE pressure‐velocity coupling scheme. Furthermore, observations of particle dynamics reveal that the vocal cords' location contains a concentration site of deposited small aerosols due to the turbulent airflow in the region. The optimal diameters of nasal sprayed aerosols to target each region are concluded in the end.
期刊介绍:
Particle & Particle Systems Characterization is an international, peer-reviewed, interdisciplinary journal focusing on all aspects of particle research. The journal joined the Advanced Materials family of journals in 2013. Particle has an impact factor of 4.194 (2018 Journal Impact Factor, Journal Citation Reports (Clarivate Analytics, 2019)).
Topics covered include the synthesis, characterization, and application of particles in a variety of systems and devices.
Particle covers nanotubes, fullerenes, micelles and alloy clusters, organic and inorganic materials, polymers, quantum dots, 2D materials, proteins, and other molecular biological systems.
Particle Systems include those in biomedicine, catalysis, energy-storage materials, environmental science, micro/nano-electromechanical systems, micro/nano-fluidics, molecular electronics, photonics, sensing, and others.
Characterization methods include microscopy, spectroscopy, electrochemical, diffraction, magnetic, and scattering techniques.