Adaptive Design Space as an Integrated Component of Quality by Design

IntroductionThe US Food and Drug Administration requires pharmaceutical companies to develop extensive process understanding prior to routine manufacturing of drug products. Through development and validation, drug manufacturers enhance their process understanding and identify an acceptable range of process parameters for each unit operation; this is referred to as the design space. Typically, limited work is done to study the effect of long-term raw material variations on the robustness of the design space. In the present study, the development of a design space for a tablet formulation containing two APIs (acetaminophen, caffeine) through a direct compression process was investigated.Material and MethodsA design of experiment including different excipient ratios of microcrystalline cellulose and lactose, two croscarmellose sodium levels, four tablet compression forces, and four blend parameters was created using an industrial-size press to define a knowledge space. Quality attributes (disintegration time, dissolution, radial tensile strength, and friability) were measured and a design space derived. In order to test the robustness of the design space, raw material properties, specifically particle size of acetaminophen and ratio of lactose anhydrous to monohydrate, were modified. Also, compression parameters were varied.ResultsTablets were analyzed for relevant critical quality attributes (CQAs) to investigate how variability in raw materials can change the design space. The modification of the process parameters was used as a means of compensating for raw material variability to produce tablets that met CQA requirements. An adaptive design space approach based on the adaptation of critical process parameters is proposed to facilitate the creation of tablets meeting specifications despite variation in raw material properties.

[1]  James K. Drennen,et al.  Online Monitoring of Pharmaceutical Materials Using Multiple NIR Sensors—Part I: Blend Homogeneity , 2011, Journal of Pharmaceutical Innovation.

[2]  James K. Drennen,et al.  Efficient Near-Infrared Spectroscopic Calibration Methods for Pharmaceutical Blend Monitoring , 2011, Journal of Pharmaceutical Innovation.

[3]  J. Macgregor,et al.  A Framework for the Development of Design and Control Spaces , 2008, Journal of Pharmaceutical Innovation.

[4]  David M. Haaland,et al.  New Classical Least-Squares/Partial Least-Squares Hybrid Algorithm for Spectral Analyses , 2001 .

[5]  R. Pinal,et al.  Elucidating Raw Material Variability—Importance of Surface Properties and Functionality in Pharmaceutical Powders , 2009, AAPS PharmSciTech.

[6]  Andre Raw,et al.  Quality by Design: Concepts for ANDAs , 2008, The AAPS Journal.

[7]  Salvador García Muñoz,et al.  Handling uncertainty in the establishment of a design space for the manufacture of a pharmaceutical product , 2010, Comput. Chem. Eng..

[8]  Lawrence X. Yu Pharmaceutical Quality by Design: Product and Process Development, Understanding, and Control , 2008, Pharmaceutical Research.

[9]  Gintaras V. Reklaitis,et al.  Understanding critical material properties for solid dosage form design , 2006, Journal of Pharmaceutical Innovation.

[10]  Zhenqi Shi,et al.  Process characterization of powder blending by near-infrared spectroscopy: blend end-points and beyond. , 2008, Journal of pharmaceutical and biomedical analysis.

[11]  James K. Drennen,et al.  Hybrid Controls Combining First-Principle Calculations with Empirical Modeling for Fully Automated Fluid Bed Processing , 2012, Journal of Pharmaceutical Innovation.