Rudén Jonas, Frenning Göran, Bramer Tobias, Thalberg Kyrre, Alderborn Göran
Department of Pharmaceutical Biosciences and the Swedish Drug Delivery Forum (SDDF), Uppsala University, Husargatan 3, Box 580, SE-751 23 Uppsala, Sweden.
Inhalation Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Gothenburg, Sweden.
Int J Pharm X. 2020 Dec 24;3:100069. doi: 10.1016/j.ijpx.2020.100069. eCollection 2021 Dec.
The objectives of this investigation were to study the evolution in blend state of adhesive mixtures containing the active pharmaceutical ingredients (APIs) salbutamol, budesonide and AZD5423 and to study the relationship between blend state and dispersibility of the mixtures, as assessed by the fine particle fraction (FPF). A series of adhesive mixtures of varied fines concentration were prepared for each API using the same type of carrier. Based on visual examination and powder mechanics, blend states were identified and summarized as blend state maps for each API. The dispersibility of the mixtures was studied using a Fast Screening Impactor (FSI) equipped with a ScreenHaler. The evolution in blend state differed between the APIs in terms of the width of the blend states. The structure of the adhesion layer also differed between the APIs, from relatively uniform to a heterogeneous layer with small agglomerates dispersed on the carrier surface. All three APIs expressed a similar type of bended relationship between FPF and fines concentration. However, the initial rate of increase and the fines concentration of the plateau differed between the APIs. The adhesive mixtures of all APIs followed the three main states in terms of structural evolution and the overall shape of the FPF-fines concentration profiles could be explained by the evolution in blend state. It is proposed that the structure of the adhesion layer is an important factor explaining the differences in blend state - blend dispersibility relationships between the APIs.
本研究的目的是研究含有活性药物成分(API)沙丁胺醇、布地奈德和AZD5423的粘合剂混合物的混合状态演变,并研究混合状态与混合物分散性之间的关系,通过细颗粒分数(FPF)进行评估。使用相同类型的载体为每种API制备了一系列不同细粉浓度的粘合剂混合物。基于目视检查和粉末力学,识别并总结了混合状态,为每种API绘制了混合状态图。使用配备ScreenHaler的快速筛选冲击器(FSI)研究混合物的分散性。在混合状态的宽度方面,不同API的混合状态演变有所不同。不同API之间的粘附层结构也有所不同,从相对均匀到载体表面分散有小团聚体的异质层。所有三种API在FPF和细粉浓度之间都表现出类似类型的弯曲关系。然而,不同API的初始增加速率和平原的细粉浓度有所不同。所有API的粘合剂混合物在结构演变方面都遵循三个主要状态,FPF-细粉浓度曲线的整体形状可以通过混合状态的演变来解释。有人提出,粘附层的结构是解释不同API之间混合状态-混合分散性关系差异的一个重要因素。