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Hu X, Zhao Y, Xiao W, He G, Jiang H, Ruan X, Jiang X. Improved Spherical Particle Preparation of Ceftriaxone Sodium via Membrane-Assisted Spherical Crystallization. Ind Eng Chem Res 2023. [DOI: 10.1021/acs.iecr.2c04424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Affiliation(s)
- Xueyan Hu
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Yiting Zhao
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Wu Xiao
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Gaohong He
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
- School of Chemical Engineering at Panjin, Dalian University of Technology, Panjin 124221, China
| | - Hanyu Jiang
- Science and Technology on Combustion and Explosion Laboratory, Xi’an Modern Chemistry Research Institute, Xi’an 710065, China
| | - Xuehua Ruan
- School of Chemical Engineering at Panjin, Dalian University of Technology, Panjin 124221, China
| | - Xiaobin Jiang
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
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2
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Destro F, Barolo M. A review on the modernization of pharmaceutical development and manufacturing - Trends, perspectives, and the role of mathematical modeling. Int J Pharm 2022; 620:121715. [PMID: 35367580 DOI: 10.1016/j.ijpharm.2022.121715] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/23/2022] [Accepted: 03/29/2022] [Indexed: 01/20/2023]
Abstract
Recently, the pharmaceutical industry has been facing several challenges associated to the use of outdated development and manufacturing technologies. The return on investment on research and development has been shrinking, and, at the same time, an alarming number of shortages and recalls for quality concerns has been registered. The pharmaceutical industry has been responding to these issues through a technological modernization of development and manufacturing, under the support of initiatives and activities such as quality-by-design (QbD), process analytical technology, and pharmaceutical emerging technology. In this review, we analyze this modernization trend, with emphasis on the role that mathematical modeling plays within it. We begin by outlining the main socio-economic trends of the pharmaceutical industry, and by highlighting the life-cycle stages of a pharmaceutical product in which technological modernization can help both achieve consistently high product quality and increase return on investment. Then, we review the historical evolution of the pharmaceutical regulatory framework, and we discuss the current state of implementation and future trends of QbD. The pharmaceutical emerging technology is reviewed afterwards, and a discussion on the evolution of QbD into the more effective quality-by-control (QbC) paradigm is presented. Further, we illustrate how mathematical modeling can support the implementation of QbD and QbC across all stages of the pharmaceutical life-cycle. In this respect, we review academic and industrial applications demonstrating the impact of mathematical modeling on three key activities within pharmaceutical development and manufacturing, namely design space description, process monitoring, and active process control. Finally, we discuss some future research opportunities on the use of mathematical modeling in industrial pharmaceutical environments.
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Affiliation(s)
- Francesco Destro
- CAPE-Lab - Computer-Aided Process Engineering Laboratory, Department of Industrial Engineering, University of Padova, via Marzolo 9, 35131 Padova PD, Italy
| | - Massimiliano Barolo
- CAPE-Lab - Computer-Aided Process Engineering Laboratory, Department of Industrial Engineering, University of Padova, via Marzolo 9, 35131 Padova PD, Italy.
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3
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Xiao W, He Z, Shao G, Li P, Ruan X, Yan X, Wu X, Li X, He G, Jiang X. Membrane-Assisted Cooling Crystallization for Interfacial Nucleation Induction and Self-Seeding Control. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c03984] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Wu Xiao
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Zeman He
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Guanying Shao
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Peiyu Li
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Xuehua Ruan
- School of Chemical Engineerng at Panjin, Dalian University of Technology, Panjin 124221, China
| | - Xiaoming Yan
- School of Chemical Engineerng at Panjin, Dalian University of Technology, Panjin 124221, China
| | - Xuemei Wu
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Xiangcun Li
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Gaohong He
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
- School of Chemical Engineerng at Panjin, Dalian University of Technology, Panjin 124221, China
| | - Xiaobin Jiang
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
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Shi GM, Feng Y, Li B, Tham HM, Lai JY, Chung TS. Recent progress of organic solvent nanofiltration membranes. Prog Polym Sci 2021. [DOI: 10.1016/j.progpolymsci.2021.101470] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Li J, Sheng L, Tuo L, Xiao W, Ruan X, Yan X, He G, Jiang X. Membrane-Assisted Antisolvent Crystallization: Interfacial Mass-Transfer Simulation and Multistage Process Control. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c01645] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jin Li
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Lei Sheng
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Linghan Tuo
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Wu Xiao
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Xuehua Ruan
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Xiaoming Yan
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Gaohong He
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Xiaobin Jiang
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, Dalian University of Technology, Dalian 116024, China
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Diab S, Gerogiorgis DI. Design Space Identification and Visualization for Continuous Pharmaceutical Manufacturing. Pharmaceutics 2020; 12:E235. [PMID: 32151096 PMCID: PMC7150984 DOI: 10.3390/pharmaceutics12030235] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 03/02/2020] [Accepted: 03/03/2020] [Indexed: 11/16/2022] Open
Abstract
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.
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Affiliation(s)
| | - Dimitrios I. Gerogiorgis
- 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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7
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Affiliation(s)
- Po-Chen Su
- Department of Chemical Engineering, National Taiwan University, Taipei, 106-07, Taiwan
| | - Jeffrey D. Ward
- Department of Chemical Engineering, National Taiwan University, Taipei, 106-07, Taiwan
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8
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Patrascu M, Barton PI. Optimal Dynamic Continuous Manufacturing of Pharmaceuticals with Recycle. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b00646] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Michael Patrascu
- Process Systems Engineering Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Paul I. Barton
- Process Systems Engineering Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
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Jolliffe HG, Diab S, Gerogiorgis DI. Nonlinear Optimization via Explicit NRTL Model Solubility Prediction for Antisolvent Mixture Selection in Artemisinin Crystallization. Org Process Res Dev 2017. [DOI: 10.1021/acs.oprd.7b00289] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Hikaru G. Jolliffe
- Institute for Materials and Processes (IMP), School of
Engineering, University of Edinburgh, The King’s Buildings, Edinburgh EH9 3FB, United Kingdom
| | - Samir Diab
- Institute for Materials and Processes (IMP), School of
Engineering, University of Edinburgh, The King’s Buildings, Edinburgh EH9 3FB, United Kingdom
| | - Dimitrios I. Gerogiorgis
- Institute for Materials and Processes (IMP), School of
Engineering, University of Edinburgh, The King’s Buildings, Edinburgh EH9 3FB, United Kingdom
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10
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Wang J, Lakerveld R. Integrated solvent and process design for continuous crystallization and solvent recycling using PC-SAFT. AIChE J 2017. [DOI: 10.1002/aic.15998] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Jiayuan Wang
- Dept. of Chemical and Biomolecular Engineering; The Hong Kong University of Science and Technology; Clear Water Bay Hong Kong
| | - Richard Lakerveld
- Dept. of Chemical and Biomolecular Engineering; The Hong Kong University of Science and Technology; Clear Water Bay Hong Kong
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