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Open AccessArticle

Design Space Identification and Visualization for Continuous Pharmaceutical Manufacturing

School of Engineering, Institute for Materials and Processes (IMP), University of Edinburgh, The King’s Buildings, Edinburgh EH9 3FB, Scotland, UK
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Pharmaceutics 2020, 12(3), 235; https://doi.org/10.3390/pharmaceutics12030235
Received: 31 January 2020 / Revised: 2 March 2020 / Accepted: 3 March 2020 / Published: 5 March 2020
(This article belongs to the Special Issue Continuous Pharmaceutical Manufacturing)
Progress in continuous flow chemistry over the past two decades has facilitated significant developments in the flow synthesis of a wide variety of Active Pharmaceutical Ingredients (APIs), the foundation of Continuous Pharmaceutical Manufacturing (CPM), which has gained interest for its potential to reduce material usage, energy and costs and the ability to access novel processing windows that would be otherwise hazardous if operated via traditional batch techniques. Design space investigation of manufacturing processes is a useful task in elucidating attainable regions of process performance and product quality attributes that can allow insight into process design and optimization prior to costly experimental campaigns and pilot plant studies. This study discusses recent demonstrations from the literature on design space investigation and visualization for continuous API production and highlights attainable regions of recoveries, material efficiencies, flowsheet complexity and cost components for upstream (reaction + separation) via modeling, simulation and nonlinear optimization, providing insight into optimal CPM operation. View Full-Text
Keywords: Continuous Pharmaceutical Manufacturing (CPM); Active Pharmaceutical Ingredients (APIs); design space investigation; technoeconomic analysis Continuous Pharmaceutical Manufacturing (CPM); Active Pharmaceutical Ingredients (APIs); design space investigation; technoeconomic analysis
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MDPI and ACS Style

Diab, S.; Gerogiorgis, D.I. Design Space Identification and Visualization for Continuous Pharmaceutical Manufacturing. Pharmaceutics 2020, 12, 235.

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