A revision of the multiple-path particle dosimetry model focusing on tobacco product aerosol dynamics.
MPPD
cigarette
dosimetry
electronic cigarette
modeling
simulator
Journal
International journal for numerical methods in biomedical engineering
ISSN: 2040-7947
Titre abrégé: Int J Numer Method Biomed Eng
Pays: England
ID NLM: 101530293
Informations de publication
Date de publication:
07 Jan 2024
07 Jan 2024
Historique:
revised:
15
10
2023
received:
18
07
2023
accepted:
26
11
2023
medline:
8
1
2024
pubmed:
8
1
2024
entrez:
8
1
2024
Statut:
aheadofprint
Résumé
To assess the health impact of inhaled aerosols, it is necessary to understand aerosol dynamics and the associated dosimetry in the human respiratory tract. Although several studies have measured or simulated the dosimetry of aerosol constituents, the respiratory tract focus areas have been limited. In particular, the aerosols generated from tobacco products are complex composites and simulating their dynamics in the respiratory tract is challenging. To assess the dosimetry of the aerosol constituents of tobacco products, we developed a revised version of the Multiple-Path Particle Dosimetry (MPPD) model, which employs (1) new geometry based on CT-scanned human respiratory tract data, (2) convective mixing in the oral cavity and deep lung, and (3) constituent partitioning between the tissue and air, and clearance. The sensitivity analysis was conducted using aerosols composed of four major constituents of electronic cigarette (EC) aerosols to investigate the parameters that have a significant impact on the results. In addition, the revised model was run with 4 and 10 constituents in ECs and conventional cigarettes (CCs), respectively. Sensitivity analysis revealed that the new modeling and the physicochemical properties of constituents had a considerable impact on the simulated aerosol concentration and dosimetry. The simulations could be carried out within 3 min even when 10 constituents of CC aerosols were analyzed simultaneously. The revised model based on MPPD is an efficient and easy-to-use tool for understanding the aerosol dynamics of CC and EC constituents and their effect on the human body.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e3796Subventions
Organisme : Japan Tobacco Inc
Informations de copyright
© 2024 Japan Tobacco Inc. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd.
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