计算与体外方法预测干粉吸入空气动力学性能

Jelisaveta Ignjatović, T. Šušteršič, S. Cvijić, Aleksandar Bodić, Jelena Đuriš, N. Filipovic
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摘要

计算流体力学(CFD)与离散相建模(DPM)相结合的方法作为一种替代常用的体外方法来评估干粉吸入(DPI)的空气动力学特性。本研究的目的是比较CFD-DPM和下一代冲击器(NGI)在体外获得的描述DPI气动性能的参数。分析参数包括:排放分数(EF)、细颗粒分数(FPF)、质量中值气动直径(MMAD)和几何标准差(GSD)。结果表明,CFD-DPM模拟的EF值与NGI的模拟值基本相当,但两种方法的模拟结果存在一定差异。另一方面,CFD-DPM预测的MMAD值几乎是NGI实测值的两倍,而预测的GSD值低于NGI实测值。此外,CFD-DPM预测值表明,与NGI结果相比,不同配方的MMAD之间存在较大差异。CFD-DPM和NGI结果之间最大的差异是FPF值。也就是说,CFD-DPM预测的FPF值明显低于五种测试配方中的四种的NGI确定值。总体而言,尽管设计的CFD-DPM模型和NGI测量提供了DPI EF值的可比较数据,但这两种方法获得的其他相关参数在很大程度上存在差异,这表明需要进一步改进计算模型以充分捕捉DPI气动性能。
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COMPUTATIONAL VS. IN VITRO APPROACH TO PREDICT AERODYNAMIC PERFORMANCE OF DRY POWDERS FOR INHALATION
Computational fluid dynamics (CFD) coupled with discrete phase modeling (DPM) appeared as an alternative approach to the commonly used in vitro methods for the assessment of dry powders for inhalation (DPI) aerodynamic properties. The aim of this study was to compare the parameters that describe DPI aerodynamic performance, obtained computationally by CFD-DPM and in vitro by next generation impactor (NGI). The analyzed parameters included: emitted fraction (EF), fine particle fraction (FPF), mass median aerodynamic diameter (MMAD) and geometric standard deviation (GSD). The results showed that CFD-DPM simulated EF values were generally comparable to the NGI obtained values, but there were some differences between the results obtained by these two methods. On the other hand, CFD-DPM predicted MMAD values were almost twice bigger than the NGI determined values, while the predicted GSD values were lower than NGI obtained values. In addition, CFD-DPM predicted values indicated larger differences between MMAD for different formulations in comparison to the NGI results. The largest difference between CFD-DPM and NGI results was observed for FPF values. Namely, CFD-DPM predicted FPF values were markedly lower than the NGI determined values for four of five tested formulations. Overall, although the designed CFD-DPM model and NGI measurements provided comparable data on the DPI EF values, the other relevant parameters obtained by these two approaches largely diverged indicating the need for further refinement of computational models to fully capture DPI aerodynamic performance.
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