Condensational growth of combination drug-excipient submicrometer particles for targeted high efficiency pulmonary delivery: comparison of CFD predictions with experimental results.
Condensational growth of combination drug-excipient submicrometer particles for targeted high efficiency pulmonary delivery: comparison of CFD predictions with experimental results.
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DOI：
10.1007/s11095-011-0596-1
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发表时间：
2012-03
影响因子：
3.7
通讯作者：
Hindle M
中科院分区：
文献类型：
--
作者：
Longest PW;Hindle M
本研究的目的是调查的吸湿性增长的组合药物和赋形剂的亚微米气雾剂的呼吸道给药，使用体外实验和新开发的计算流体动力学（CFD）模型。使用毛细管气雾剂发生器和能倍乐吸入器通过实验生成亚微米复方药物和辅料颗粒。气溶胶吸湿性增长进行了评估，在体外和计算流体动力学的盘管几何形状设计，以提供停留时间和热力学条件与气道一致。体外结果和CFD预测均表明，对于非吸湿性药物（布地奈德）和不同吸湿性辅料的50：50组合，最初的亚微米颗粒的平均尺寸增加至1.6-2.5 µm。CFD结果与体外预测的匹配度在10%以内，并强调了液滴尺寸的逐渐稳定增加，这将有效减少胸外沉积并在呼吸道深处产生沉积。增强赋形剂生长（EEG）似乎提供了一种有效的技术，以增加药物气雾剂的大小，和开发的CFD模型将提供一个强大的设计工具，优化这种技术，以产生高效率的肺部输送。
The objective of this study was to investigate the hygroscopic growth of combination drug and excipient submicrometer aerosols for respiratory drug delivery using in vitro experiments and a newly developed computational fluid dynamics (CFD) model. Submicrometer combination drug and excipient particles were generated experimentally using both the capillary aerosol generator and the Respimat inhaler. Aerosol hygroscopic growth was evaluated in vitro and with CFD in a coiled tube geometry designed to provide residence times and thermodynamic conditions consistent with the airways. The in vitro results and CFD predictions both indicated that the initially submicrometer particles increased in mean size to a range of 1.6–2.5 µm for the 50:50 combination of a non-hygroscopic drug (budesonide) and different hygroscopic excipients. CFD results matched the in vitro predictions to within 10% and highlighted gradual and steady size increase of the droplets, which will be effective for minimizing extrathoracic deposition and producing deposition deep within the respiratory tract. Enhanced excipient growth (EEG) appears to provide an effective technique to increase pharmaceutical aerosol size, and the developed CFD model will provide a powerful design tool for optimizing this technique to produce high efficiency pulmonary delivery.
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影响因子：
4.5
作者：
Longest, P. Worth;Hindle, Michael
通讯作者：
Hindle, Michael
影响因子：
4.5
作者：
FINLAY, WH;STAPLETON, KW
通讯作者：
STAPLETON, KW
DOI：
10.1089/jamp.2008.0708
发表时间：
2009-06-01
影响因子：
3.4
作者：
Longest, P. Worth;Hindle, Michael
通讯作者：
Hindle, Michael
影响因子：
2.2
作者：
Longest, P. Worth;Vinchurkar, Samir
通讯作者：
Vinchurkar, Samir
DOI：
10.1080/02786821003749525
发表时间：
2010-06-01
期刊：
Aerosol science and technology : the journal of the American Association for Aerosol Research
影响因子：
--
作者：
Longest PW;McLeskey JT Jr;Hindle M
通讯作者：
Hindle M