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鼻喷雾剂沉积计算模型的验证与敏感性分析。

Validation and Sensitivity analysis for a nasal spray deposition computational model.

作者信息

Calmet Hadrien, Oks David, Santiago Alfonso, Houzeaux Guillaume, Corfec Antoine Le, Deruyver Laura, Rigaut Clement, Lambert Pierre, Haut Benoit, Goole Jonathan

机构信息

Barcelona Supercomputing Centre, (BSC-CNS), Department of Computer Applications in Science and Engineering, Barcelona, Spain.

Barcelona Supercomputing Centre, (BSC-CNS), Department of Computer Applications in Science and Engineering, Barcelona, Spain.

出版信息

Int J Pharm. 2022 Oct 15;626:122118. doi: 10.1016/j.ijpharm.2022.122118. Epub 2022 Aug 24.

Abstract

Validating numerical models against experimental models of nasal spray deposition is challenging since many aspects must be considered. That being said, it is a critical step in the product development process of nasal spray devices. This work presents the validation process of a nasal deposition model, which demonstrates a high degree of consistency of the numerical model with experimental data when the nasal cavity is segmented into two regions but not into three. Furthermore, by modelling the flow as stationary, the computational cost is drastically reduced while maintaining quality of particle deposition results. Thanks to this reduction, a sensitivity analysis of the numerical model could be performed, consisting of 96 simulations. The objective was to quantify the impact of four inputs: the spray half cone angle, mean spray exit velocity, breakup length from the nozzle exit and the diameter of the nozzle spray device, on the three quantities of interest: the percentage of the accumulated number of particles deposited on the anterior, middle and posterior sections of the nasal cavity. The results of the sensitivity analysis demonstrated that the deposition on anterior and middle sections are sensitive to injection angle and breakup length, and the deposition on posterior section is only, but highly, sensitive to the injection velocity.

摘要

针对鼻喷雾剂沉积的实验模型验证数值模型具有挑战性,因为必须考虑许多方面。话虽如此,这是鼻喷雾装置产品开发过程中的关键一步。这项工作展示了一个鼻腔沉积模型的验证过程,当鼻腔被划分为两个区域而非三个区域时,该模型显示出数值模型与实验数据高度一致。此外,通过将流动建模为稳态,在保持颗粒沉积结果质量的同时,计算成本大幅降低。由于成本降低,可以对数值模型进行敏感性分析,包括96次模拟。目的是量化四个输入参数对三个感兴趣的量的影响:喷雾半锥角、平均喷雾出口速度、从喷嘴出口处的破碎长度以及喷嘴喷雾装置的直径,这三个感兴趣的量分别是沉积在鼻腔前部、中部和后部的累积颗粒数百分比。敏感性分析结果表明,鼻腔前部和中部的沉积对喷射角度和破碎长度敏感,而后部的沉积仅对喷射速度敏感,但敏感度很高。

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