Quantitative X-Ray Microcomputed Tomography Assessment of Internal Tablet Defects

被引:38
|
作者
Yost, Edward [1 ]
Chalus, Pascal [2 ,5 ]
Zhang, Shawn [3 ]
Peter, Stefanie [4 ]
Narang, Ajit S. [1 ]
机构
[1] Genentech Inc, Small Mol Pharmaceut, One DNA Way, San Francisco, CA 94080 USA
[2] Lonza Grp Ltd, Drug Prod Serv, Hochbergerstr 60A, CH-4057 Basel, Switzerland
[3] DigiM Solut LLC, 67 South Bedford St,Suite 400, Burlington, MA 08180 USA
[4] F Hoffmann La Roche Ltd, PTDC Pharmaceut R&D, Grenzacherstr 124, CH-4070 Basel, Switzerland
[5] F Hoffmann La Roche Ltd, Solid State Sci, Grenzacherstr 124, CH-4070 Basel, Switzerland
关键词
artificial intelligence; compaction; developability; mechanical properties; tableting; physical characterization; quality by design (QBD); MECHANICAL-PROPERTIES; AIR ENTRAPMENT; STRENGTH; PREDICTION; PRESSURE; COMPACTS; TENDENCY;
D O I
10.1016/j.xphs.2018.12.024
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
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 (XuCT) 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. XuCT increased formulation and process knowledge in support of scale-up manufacturing. We demonstrated how XuCT 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 XuCT with an artificial intelligence based quantitative analysis can deepen our tableting knowledge from an empirical understanding to a mechanistic understanding of compaction phenomenon. (C) 2019 American Pharmacists Association. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:1818 / 1830
页数:13
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