Determination of critical quality attributes for monoclonal antibodies using quality by design principles

Biologicals ◽  
2016 ◽  
Vol 44 (5) ◽  
pp. 291-305 ◽  
Author(s):  
Nadja Alt ◽  
Taylor Y. Zhang ◽  
Paul Motchnik ◽  
Ron Taticek ◽  
Valerie Quarmby ◽  
...  
Keyword(s):  
Monoclonal Antibodies ◽  
Quality By Design ◽  
Design Principles ◽  
Quality Attributes ◽  
Critical Quality Attributes

Integrated Application of Quality-by-Design Principles to Drug Product and Its Control Strategy Development

2019 ◽  
pp. 665-702
Author(s):  
Sherif I.F. Badawy ◽  
Ajit S. Narang ◽  
Keirnan R. LaMarche ◽  
Ganeshkumar A. Subramanian ◽  
Sailesh A. Varia ◽  
...  
Keyword(s):  
Control Strategy ◽  
Quality By Design ◽  
Drug Product ◽  
Design Principles ◽  
Strategy Development

scholarly journals Control Strategy for Process Development of High-Shear Wet Granulation and Roller Compaction to Prepare a Combination Drug Using Integrated Quality by Design

Pharmaceutics ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 80
Author(s):  
Ji Yeon Kim ◽  
Myung Hee Chun ◽  
Du Hyung Choi
Keyword(s):  
Process Parameters ◽  
Control Strategy ◽  
Quality By Design ◽  
Quality Attributes ◽  
Granule Size ◽  
Wet Granulation ◽  
Roller Compaction ◽  
High Shear ◽  
Intrinsic Dissolution ◽  
High Shear Wet Granulation

In this study, we developed a control strategy for a drug product prepared by high-shear wet granulation and roller compaction using integrated quality by design (QbD). During the first and second stages, we optimized the process parameters through the design of experiments and identified the intermediate quality attributes (IQAs) and critical quality attributes (CQAs) relationship, respectively. In the first stage, we conducted an initial risk assessment by selecting critical process parameters with high impact on IQAs and CQAs and confirmed the correlation between control and response factors. Additionally, we performed Monte Carlo simulations by optimizing the process parameters to deriving and building a robust design space. In the second stage, we identified the IQAs and CQAs relationship for the control strategy, using multivariate analysis (MVA). Based on MVA, in the metformin layer, dissolution at 1 h was significantly correlated with intrinsic dissolution rate and granule size, and dissolution at 3 h was significantly correlated with bulk density and granule size. In dapagliflozin layer, dissolution at 10 min and 15 min was significantly correlated with granule size. Our results suggest that the desired drug quality may result through IQAs monitoring during the process and that the integrated QbD approach utilizing MVA can be used to develop a control strategy for producing high-quality drug products.

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