Multiphase Flow Systems (MPS), Institute of Process Engineering, Otto-von-Guericke-University (OvGU) Magdeburg, Zeppelinstraße 1, D-06130 Halle (Saale), Germany.
Multiphase Flow Systems (MPS), Institute of Process Engineering, Otto-von-Guericke-University (OvGU) Magdeburg, Zeppelinstraße 1, D-06130 Halle (Saale), Germany.
Eur J Pharm Sci. 2019 Feb 1;128:299-324. doi: 10.1016/j.ejps.2018.12.008. Epub 2018 Dec 14.
For about 15 years the performance of dry powder inhalers (DPIs) has been numerically analysed through CFD (computational fluid dynamics) approaches with the objective of understanding the evolving flow structures and the resulting transport of drug particles. Naturally the main interest is the numerical prediction of the emitted fine particle fraction (FPF) which is able to penetrate the lung airways. Due to the mostly used drug formulations (i.e. carrier-based or agglomerated drug powder) and the complex elementary processes occurring during the transport of such particles through inhalers this is not an easy task. Essential for a good and efficient performance of DPI is the drug particle detachment from a carrier or the aerosolisation of agglomerated drug powder. Mostly the motion of particulate matter through an inhaler is described in a Lagrangian way using either a discrete particle method (DPM) or a discrete element method (DEM). This paper reviews the major published contributions related to the numerical calculations of dry powder inhalers by considering particles which may be coarse carrier or fine drug particles or even clusters including agglomerated fine particles or carriers covered with many drug particles. This review also considers simulations on the behaviour of single clusters interacting with flows or colliding with rigid walls. Following that, the potentials and constraints of the DPM and DEM are critically assessed with regard to inhaler applications. As a result, the DPM is most suitable since the clusters (i.e. carrier with drug or agglomerated drugs) are considered and tracked as single entities. On the other hand, in DEM all individual primary particles within clusters are tracked accounting for the acting fluid forces and multiple contact interactions between particles. In most applications published so far, the fluid dynamic interactions between these primary particles are not adequately accounted for. Hence, both approaches need further modelling activities for realistically capturing all relevant elementary processes, such as, flow induced drug detachment from clusters, cluster-wall collisions and recollection of drug particles on clusters. Moreover, recent calculations on the motion of carrier particles through an inhaler for statistically analysing the experienced flow stresses are presented. Also, carrier-wall collisions were evaluated with regard to number and intensity. The flow simulations were conducted for steady-state conditions based on RANS (Reynolds-averaged Navier-Stokes) in connection with the k-ω-SST (shear-stress transport) turbulence model. Carrier particle tracking was done considering all relevant forces, especially transverse lift forces. Based on this information, fully resolved simulations of the flow over particle clusters (i.e. carrier particle coated with thousands of drug particles) using the Lattice-Boltzmann method (LBM) are introduced. Therefrom, the detachment probabilities by lift-off, as well as sliding and rolling stripping of fine drug particles are evaluated. For that purpose, laminar and turbulent plug flows, as well as shear flows, were assumed to interact with the fixed cluster in a cubic domain. Even at the highest relative velocities typically found in an inhaler, lift-off in a laminar flow was not possible when considering experimentally determined adhesion forces. However, turbulence is very effective in drug powder detachment from a carrier. Finally results are presented using a novel carrier-wall collision model for describing drug detachment in Euler/Lagrange simulations. The results for two inhalers (i.e. Cyclohaler and Unihaler, a modular inhaler developed at the University of Kiel) revealed that carrier-wall collisions are very effective for inertia-induced drug detachment. Hence, the predicted fine particle fraction was found to be close to 100% for both inhalers. As a conclusion of this study, it has become clear that the wall deposition of fine drug particles is an important mechanism during carrier or agglomerate wall collisions, which are responsible for the low emitted fine particle fraction (FPF) observed experimentally. It is hoped that this article provides requirements and guidelines for the further development of Euler/Lagrange simulations applied to dry powder inhaler devices.
大约 15 年来,通过计算流体动力学(CFD)方法对干粉吸入器(DPI)的性能进行了数值分析,目的是了解不断演变的流动结构和由此产生的药物颗粒输送。当然,主要的兴趣是数值预测能够穿透肺部气道的细颗粒分数(FPF)。由于大多数使用的药物制剂(即载体或团聚药物粉末)以及在通过吸入器输送此类颗粒时发生的复杂基本过程,这不是一件容易的事。DPI 良好和有效性能的关键是药物颗粒从载体上脱离或气溶胶化团聚药物粉末。颗粒通过吸入器的运动主要以拉格朗日方式使用离散颗粒方法(DPM)或离散元素方法(DEM)来描述。本文通过考虑可能是粗载体或细药物颗粒,甚至包括团聚细颗粒或覆盖许多药物颗粒的载体的颗粒,综述了与干粉吸入器的数值计算相关的主要已发表贡献。本文综述还考虑了关于与流动相互作用或与刚性壁碰撞的单个团簇的行为的模拟。在此之后,批判性地评估了 DPM 和 DEM 的潜力和约束,以了解吸入器的应用。结果,由于将团簇(即带有药物的载体或团聚的药物)视为单个实体并对其进行跟踪,因此 DPM 是最合适的。另一方面,在 DEM 中,所有在团簇内的单个初级颗粒都被跟踪,以考虑作用的流体力和颗粒之间的多次接触相互作用。到目前为止,在大多数已发表的应用中,尚未充分考虑到这些初级颗粒之间的流体动力相互作用。因此,这两种方法都需要进一步的建模活动,以真实地捕捉所有相关的基本过程,例如,从团簇中诱导药物脱离,团簇壁碰撞和药物颗粒在团簇上的重新收集。此外,还介绍了最近对通过吸入器的载体颗粒运动进行的统计分析所经历的流动应力的计算。还评估了载体壁碰撞的数量和强度。流动模拟是基于稳态条件进行的,基于 RANS(雷诺平均纳维-斯托克斯)与 k-ω-SST(剪切应力传输)湍流模型相结合。考虑到所有相关的力,特别是横向升力,对载体颗粒进行了跟踪。基于此信息,使用格子玻尔兹曼方法(LBM)对颗粒团簇(即涂有数千个药物颗粒的载体颗粒)的流动进行了完全解析模拟。由此,评估了通过升力脱离、滑动和滚动剥落细药物颗粒的概率。为此,假设层流和湍流塞流以及剪切流与立方域中的固定团簇相互作用。即使在吸入器中通常发现的最高相对速度下,当考虑实验确定的附着力时,层流中的升力也不可能发生。然而,湍流在从载体上脱除药物粉末方面非常有效。最后,使用用于描述 Euler/Lagrange 模拟中药物脱离的新型载体壁碰撞模型呈现结果。对两种吸入器(即 Cyclohaler 和 Unihaler,基尔大学开发的模块化吸入器)的结果表明,载体壁碰撞对于惯性诱导的药物脱离非常有效。因此,预测的细颗粒分数接近两种吸入器的 100%。作为这项研究的结论,很明显,在载体或团聚体壁碰撞过程中,细药物颗粒的壁沉积是一种重要的机制,这是导致实验观察到的低发射细颗粒分数(FPF)的原因。希望本文为进一步开发应用于干粉吸入器设备的 Euler/Lagrange 模拟提供了要求和指导。