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PMID: 27082824 Published · ppublish English Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Validation Study

Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates.

Journal of aerosol medicine and pulmonary drug delivery ·Vol. 29 ·No. 6 ·2016-00-00 ·页码 461-481

Longest PW, Tian G, Khajeh-Hosseini-Dalasm N, Hindle M

Abstract

The objective of this study was to compare aerosol deposition predictions of a new whole-airway CFD model with available in vivo data for a dry powder inhaler (DPI) considered across multiple inhalation waveforms, which affect both the particle size distribution (PSD) and particle deposition. The Novolizer DPI with a budesonide formulation was selected based on the availability of 2D gamma scintigraphy data in humans for three different well-defined inhalation waveforms. Initial in vitro cascade impaction experiments were conducted at multiple constant (square-wave) particle sizing flow rates to characterize PSDs. The whole-airway CFD modeling approach implemented the experimentally determined PSDs at the point of aerosol formation in the inhaler. Complete characteristic airway geometries for an adult were evaluated through the lobar bronchi, followed by stochastic individual pathway (SIP) approximations through the tracheobronchial region and new acinar moving wall models of the alveolar region. It was determined that the PSD used for each inhalation waveform should be based on a constant particle sizing flow rate equal to the average of the inhalation waveform's peak inspiratory flow rate (PIFR) and mean flow rate [i.e., AVG(PIFR, Mean)]. Using this technique, agreement with the in vivo data was acceptable with <15% relative differences averaged across the three regions considered for all inhalation waveforms. Defining a peripheral to central deposition ratio (P/C) based on alveolar and tracheobronchial compartments, respectively, large flow-rate-dependent differences were observed, which were not evident in the original 2D in vivo data. The agreement between the CFD predictions and in vivo data was dependent on accurate initial estimates of the PSD, emphasizing the need for a combination in vitro-in silico approach. Furthermore, use of the AVG(PIFR, Mean) value was identified as a potentially useful method for characterizing a DPI aerosol at a constant flow rate.

Keywords
computational fluid dynamics (CFD) pharmaceutical aerosols predictions of aerosol deposition respiratory drug delivery stochastic individual pathway model
MeSH 主题词
Administration, Inhalation Adult Aerosols Bronchodilator Agents/administration & dosage,chemistry,metabolism Budesonide/administration & dosage,chemistry,metabolism Computer Simulation Drug Compounding Dry Powder Inhalers Glucocorticoids/administration & dosage,chemistry,metabolism Humans Models, Anatomic Particle Size Reproducibility of Results Respiration Respiratory System/anatomy & histology,metabolism Stochastic Processes Tissue Distribution
化学物质
Aerosols Bronchodilator Agents Glucocorticoids Budesonide
作者与单位
共 4 位作者,点击展开单位 / ORCID
Longest P Worth
1 Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University , Richmond, Virginia. | 2 Department of Pharmaceutics, Virginia Commonwealth University , Richmond, Virginia.
Tian Geng
1 Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University , Richmond, Virginia.
Khajeh-Hosseini-Dalasm Navvab
1 Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University , Richmond, Virginia.
Hindle Michael
2 Department of Pharmaceutics, Virginia Commonwealth University , Richmond, Virginia.
Article Info
Journal
Journal of aerosol medicine and pulmonary drug delivery
Abbr.
J Aerosol Med Pulm Drug Deliv
ISSN
1941-2703
Published
2016-00-00
电子出版
2016-00-15
页码
461-481
Language
English
Country/Region
United States
NLM ID
101475057
基金资助
NHLBI NIH HHS · R01 HL107333 · United States
FDA HHS · U01 FD004570 · United States
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