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Minimizing Variability of Cascade Impaction Measurements in Inhalers and Nebulizers

机译:最小化吸入器和雾化器中级联冲击测量的变异性

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摘要

The purpose of this article is to catalogue in a systematic way the available information about factors that may influence the outcome and variability of cascade impactor (CI) measurements of pharmaceutical aerosols for inhalation, such as those obtained from metered dose inhalers (MDIs), dry powder inhalers (DPIs) or products for nebulization; and to suggest ways to minimize the influence of such factors. To accomplish this task, the authors constructed a cause-and-effect Ishikawa diagram for a CI measurement and considered the influence of each root cause based on industry experience and thorough literature review. The results illustrate the intricate network of underlying causes of CI variability, with the potential for several multi-way statistical interactions. It was also found that significantly more quantitative information exists about impactor-related causes than about operator-derived influences, the contribution of drug assay methodology and product-related causes, suggesting a need for further research in those areas. The understanding and awareness of all these factors should aid in the development of optimized CI methods and appropriate quality control measures for aerodynamic particle size distribution (APSD) of pharmaceutical aerosols, in line with the current regulatory initiatives involving quality-by-design (QbD).
机译:本文的目的是系统地分类有关可能影响用于吸入的药用气雾剂的级联撞击器(CI)测量结果和变异性的因素的可用信息,例如从干法定量吸入器(MDI)获得的因素粉末吸入器(DPI)或用于雾化的产品;并提出减少此类因素影响的方法。为了完成此任务,作者构建了因果关系测量的因果关系石川图,并基于行业经验和透彻的文献综述,考虑了每个根本原因的影响。结果说明了复杂的CI变异的潜在原因网络,并具有多种多方统计交互作用的潜力。还发现与撞击源相关的原因相比,与操作员衍生的影响,药物分析方法和产品相关的原因有关的定量信息要多得多,这表明有必要在这些领域进行进一步的研究。对所有这些因素的理解和认识,应有助于开发针对药物气雾剂的空气动力学粒径分布(APSD)的优化CI方法和适当的质量控制措施,以符合当前涉及设计质量(QbD)的法规举措。

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