沉积(地质)
生物信息学
气溶胶
计算模型
计算流体力学
体内
药学
呼吸道
计算机科学
生物系统
化学
模拟
呼吸系统
医学
病理
生物
气象学
航空航天工程
工程类
内科学
物理
生物技术
古生物学
基因
生物化学
沉积物
作者
Peter R. Byron,Michael Hindle,Carlos F. Lange,P. Worth Longest,Donald W. McRobbie,Michael J. Oldham,Bo Olsson,Charles G. Thiel,Herbert Wachtel,Warren H. Finlay
出处
期刊:Journal of Aerosol Medicine and Pulmonary Drug Delivery
[Mary Ann Liebert, Inc.]
日期:2010-12-01
卷期号:23 (S2): S-59
被引量:122
标识
DOI:10.1089/jamp.2010.0846
摘要
In order to answer the question "what research remains to be done?" we review the current state of the art in pharmaceutical aerosol deposition modeling and explore possible in vivo- in vitro correlations (IVIVC) linking drug deposition in the human lung to predictions made using in vitro physical airway models and in silico computer models. The use of physical replicas of portions of the respiratory tract is considered, alongside the advantages and disadvantages of the different imaging methods used to obtain their dimensions. The use of airway replicas to determine drug deposition in vitro is discussed and compared with the predictions from different empirical curve fits to long-standing in vivo deposition data for monodisperse aerosols. The use of improved computational models and three-dimensional computational fluid dynamics (CFD) to predict aerosol deposition within the respiratory tract is examined. CFD's ability to predict both drug deposition from pharmaceutical aerosol sprays and powder behavior in dry powder inhalers is examined; both were highlighted as important areas for future research. Although the authors note the abilities of current in vitro and in silico methods to predict in vivo data, a number of limitations remain. These include our present inability to either image or replicate all but the most proximal airways in sufficient spatial and temporal detail to allow full capture of the fluid and aerosol mechanics in these regions. In addition, the highly complex microscale behavior of aerosols within inhalers and the respiratory tract places extreme computational demands on in silico methods. When the complexity of variations in respiratory tract geometry is associated with additional factors such as breathing pattern, age, disease state, postural position, and patient-device interaction are all considered, it is clear that further research is required before the prediction of all aspects of inhaled pharmaceutical aerosol deposition is possible.
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