Small Molecule Pharmaceutics, Genentech, Inc., One DNA Way, South San Francisco, California 94080.
Drug Product Services, Lonza Group Ltd, Hochbergerstrasse 60A, CH-4057 Basel, Switzerland.
J Pharm Sci. 2019 May;108(5):1818-1830. doi: 10.1016/j.xphs.2018.12.024. Epub 2019 Jan 10.
Physical tablet defects are related to internal structural defects that are not easily assessed by the traditional methods, such as dusting, laminating, or fracturing during appearance, friability, or hardness testing. Also, these methods do not allow objective and quantitative investigation of the role of formulation and process variables, which is essential for quality-by-design drug product development. In this study, an X-ray microcomputed tomography (XμCT) method to analyze internal tablet defects is developed using tablets from a quality-by-design design-of-experiment study. The design of experiment investigated the effect of roller compaction roll force, filler composition, and the amount of magnesium stearate on tablet quality attributes. Average contiguous void volume by optical image processing and fracture size distribution and direction by artificial intelligence-based image processing quantified the internal tablet fracture severity. XμCT increased formulation and process knowledge in support of scale-up manufacturing. We demonstrated how XμCT can be incorporated as a part of a holistic approach to quantitatively identify and mechanistically assess the risks of internal tablet defects. Furthermore, expanding the use of XμCT with an artificial intelligence-based quantitative analysis can deepen our tableting knowledge from an empirical understanding to a mechanistic understanding of compaction phenomenon.
物理片剂缺陷与内部结构缺陷有关,这些缺陷不易通过传统方法(如外观、脆碎度或硬度测试期间的粉尘、层压或断裂)评估。此外,这些方法不允许对配方和工艺变量的作用进行客观和定量的研究,这对于基于质量设计的药物产品开发至关重要。在这项研究中,使用来自基于质量设计的实验设计研究的片剂开发了一种 X 射线微计算机断层扫描 (XμCT) 方法来分析内部片剂缺陷。实验设计研究了辊压实辊力、填充剂组成和硬脂酸镁用量对片剂质量属性的影响。通过光学图像处理的平均连续空隙体积和基于人工智能的图像处理的断裂尺寸分布和方向定量了内部片剂断裂严重程度。XμCT 增加了配方和工艺知识,以支持放大制造。我们展示了如何将 XμCT 作为整体方法的一部分纳入其中,以定量识别和从机械角度评估内部片剂缺陷的风险。此外,通过人工智能的定量分析扩展 XμCT 的使用可以将我们的压片知识从经验理解深化为对压缩现象的机械理解。