Multi-scale flowsheet simulation of an integrated continuous purification-downstream pharmaceutical manufacturing process.

Properties of active pharmaceutical ingredients influence the critical quality attributes (CQAs) of final solid dosage forms (e.g. tablets). In the last decade, continuous manufacturing has been shown to be a promising alternative to batch processing in the pharmaceutical industry. Therefore, a quantitative model-based analysis of the influence of upstream API properties on downstream processing quality metrics will lead to enhanced QbD in pharmaceutical drug product manufacturing (Benyahia et al., 2012). In this study, a dynamic flowsheet simulation of an integrated API purification step (crystallization), followed by filtration and drying, with a downstream process (powder mixing) is presented. Results show that the temperature profile of a cooling crystallization process influences the crystal size distribution which in turn impacts the RSD and API concentration of the powder mixing process, which in turn has a direct effect on tablet properties (Boukouvala et al., 2012). A hybrid PBM-DEM model is also presented to demonstrate the coupling of particle-scale information with process-scale information leading to enhanced elucidation of the dynamics of the overall flowsheet simulation.

[1]  Keisuke Fukui,et al.  Inclusion of mother liquor inside KDP crystals in a continuous MSMPR crystallizer , 2005 .

[2]  Peter Harriott,et al.  Unit Operations of Chemical Engineering , 2004 .

[3]  Fernando J. Muzzio,et al.  Pharmaceutical engineering science—New approaches to pharmaceutical development and manufacturing , 2010 .

[4]  Krist V. Gernaey,et al.  Model-based computer-aided framework for design of process monitoring and analysis systems , 2009, Comput. Chem. Eng..

[5]  Hans Leuenberger,et al.  Chapter 15 Granulation process control — production of pharmaceutical granules: The classical batch concept and the problem of scale-up , 2007 .

[6]  H Leuenberger,et al.  New trends in the production of pharmaceutical granules: batch versus continuous processing. , 2001, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[7]  Marianthi G. Ierapetritou,et al.  Computational Approaches for Studying the Granular Dynamics of Continuous Blending Processes, 2 – Population Balance and Data‐Based Methods , 2012 .

[8]  Dimitrios I. Gerogiorgis,et al.  Economic Analysis of Integrated Continuous and Batch Pharmaceutical Manufacturing: A Case Study , 2011 .

[9]  Johannes G Khinast,et al.  An integrated Quality by Design (QbD) approach towards design space definition of a blending unit operation by Discrete Element Method (DEM) simulation. , 2011, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[10]  Sohrab Rohani,et al.  An approach to solvent screening for crystallization of polymorphic pharmaceuticals and fine chemicals. , 2005, Journal of pharmaceutical sciences.

[11]  Avi Levy,et al.  Modelling of particle breakage during drying , 2008 .

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

[13]  Peter Glavič,et al.  Design of Batch Versus Continuous Processes: Part I: Single-Purpose Equipment , 1997 .

[14]  Roger Nosal,et al.  PQLI Definition of Criticality , 2008, Journal of Pharmaceutical Innovation.

[15]  Roger G. Harrison,et al.  Bioseparations Science and Engineering , 2002 .

[16]  Juergen Werani,et al.  Semicontinuous granulation: the process of choice for the production of pharmaceutical granules? , 2004 .

[17]  K. Plumb,et al.  Continuous Processing in the Pharmaceutical Industry: Changing the Mind Set , 2005 .

[18]  Hans Leuenberger,et al.  Batch And Continuous Processing In The Production Of Pharmaceutical Granules , 2003, Pharmaceutical development and technology.

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

[20]  Fernando J. Muzzio,et al.  Using Compartment Modeling to Investigate Mixing Behavior of a Continuous Mixer , 2008, Journal of Pharmaceutical Innovation.

[21]  Roger Nosal,et al.  PQLI Key Topics - Criticality, Design Space, and Control Strategy , 2008, Journal of Pharmaceutical Innovation.

[22]  Brahim Benyahia,et al.  A Plant-Wide Dynamic Model of a Continuous Pharmaceutical Process , 2012 .

[23]  Marianthi Ierapetritou,et al.  An engineering study on the enhanced control and operation of continuous manufacturing of pharmaceutical tablets via roller compaction. , 2012, International journal of pharmaceutics.

[24]  Rohit Ramachandran,et al.  A multi-dimensional population balance model approach to continuous powder mixing processes , 2013 .

[25]  Rohit Ramachandran,et al.  Model-Based Control-Loop Performance of a Continuous Direct Compaction Process , 2011, Journal of Pharmaceutical Innovation.

[26]  Atul Dubey,et al.  Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing Process , 2013 .

[27]  Hans Leuenberger Scale-up in the 4th dimension in the field of granulation and drying or how to avoid classical scale-up , 2003 .

[28]  Fernando J. Muzzio,et al.  Impact of process parameters on critical performance attributes of a continuous blender—A DEM‐based study , 2012 .

[29]  Robin Smith,et al.  Optimization of batch cooling crystallization , 2004 .

[30]  Marianthi G. Ierapetritou,et al.  An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process , 2012, Comput. Chem. Eng..

[31]  Aditya U. Vanarase,et al.  Multi-dimensional population balance modeling and experimental validation of continuous powder mixing processes , 2012 .