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Hur I, Casas-Orozco D, Laky D, Destro F, Nagy ZK. Digital design of an integrated purification system for continuous pharmaceutical manufacturing. Chem Eng Sci 2024; 285:119534. [PMID: 38975615 PMCID: PMC11225065 DOI: 10.1016/j.ces.2023.119534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024]
Abstract
In this work dynamic models of the continuous crystallization, filtration, deliquoring, washing, and drying steps are introduced, which are developed in the open-source pharmaceutical modeling tool PharmaPy. These models enable the simulation and digital design of an integrated continuous two-stage crystallization and filtration-drying carousel system. The carousel offers an intensified process that can manufacture products with tailored properties through optimal design and control. Results show that improved crystallization design enhances overall process efficiency by improving critical material attributes of the crystal slurry for downstream filtration and drying operations. The digital design of the integrated process achieves enhanced productivity while satisfying multiple design and product quality constraints. Additionally, the impact of model uncertainty on the optimal operating conditions is investigated. The findings demonstrate the systematic process development potential of PharmaPy, providing improved process understanding, design space identification, and optimized robust operation.
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Affiliation(s)
- Inyoung Hur
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 4797 USA
| | - Daniel Casas-Orozco
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 4797 USA
| | - Daniel Laky
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 4797 USA
| | - Francesco Destro
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 4797 USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Zoltan K. Nagy
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 4797 USA
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2
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Zhong L, Gao L, Li L, Nie L, Zhang H, Sun Z, Huang R, Zhou Z, Yin W, Wang H, Zang H. Implementation of Dynamic and Static Moisture Control in Fluidized Bed Granulation. AAPS PharmSciTech 2022; 23:174. [PMID: 35739377 DOI: 10.1208/s12249-022-02334-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 06/14/2022] [Indexed: 11/30/2022] Open
Abstract
The application of process analysis and control is essential to enhance process understanding and ensure output material quality. The present study focuses on the stability of the feedback control system for a fluidized bed granulation process. Two strategies of dynamic moisture control (DMC) and static moisture control (SMC) were established based on the in-line moisture value obtained from the near-infrared sensor and control algorithm. The performance of these strategies on quality consistency control was examined using process moisture similarity analysis and principal component analysis. The stable moisture control performance and low batch-to-batch variability indicated that the DMC method was significantly better than other granulation methods. In addition, the investigation of robustness further showed that the implemented DMC method was able to produce predetermined target moisture values by varying process parameters. This study provides an advanced and simple control method for fluidized bed granulation quality assurance.
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Affiliation(s)
- Liang Zhong
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Lele Gao
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Lian Li
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Lei Nie
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Hui Zhang
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Zhongyu Sun
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Ruiqi Huang
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Zhaobang Zhou
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Wenping Yin
- Shandong SMA Pharmatech Co., Ltd, 165, Huabei Rd., High & New Technology Zone Zibo, Shandong, 0533, China
| | - Hui Wang
- Shandong SMA Pharmatech Co., Ltd, 165, Huabei Rd., High & New Technology Zone Zibo, Shandong, 0533, China
| | - Hengchang Zang
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China. .,National Glycoengineering Research Center, Shandong University, Jinan, 250012, Shandong, China. .,Key Laboratory of Chemical Biology (Ministry of Education), Shandong University, Jinan, 250012, China.
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Bano G, Dhenge RM, Diab S, Goodwin DJ, Gorringe L, Ahmed M, Elkes R, Zomer S. Streamlining the development of an industrial dry granulation process for an immediate release tablet with systems modelling. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2021.12.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Process Modeling and Simulation of Tableting-An Agent-Based Simulation Methodology for Direct Compression. Pharmaceutics 2021; 13:pharmaceutics13070996. [PMID: 34209261 PMCID: PMC8308958 DOI: 10.3390/pharmaceutics13070996] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/10/2021] [Accepted: 06/22/2021] [Indexed: 11/17/2022] Open
Abstract
In pharmaceutical manufacturing, the utmost aim is reliably producing high quality products. Simulation approaches allow virtual experiments of processes in the planning phase and the implementation of digital twins in operation. The industrial processing of active pharmaceutical ingredients (APIs) into tablets requires the combination of discrete and continuous sub-processes with complex interdependencies regarding the material structures and characteristics. The API and excipients are mixed, granulated if required, and subsequently tableted. Thereby, the structure as well as the properties of the intermediate and final product are influenced by the raw materials, the parametrized processes and environmental conditions, which are subject to certain fluctuations. In this study, for the first time, an agent-based simulation model is presented, which enables the prediction, tracking, and tracing of resulting structures and properties of the intermediates of an industrial tableting process. Therefore, the methodology for the identification and development of product and process agents in an agent-based simulation is shown. Implemented physical models describe the impact of process parameters on material structures. The tablet production with a pilot scale rotary press is experimentally characterized to provide calibration and validation data. Finally, the simulation results, predicting the final structures, are compared to the experimental data.
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Tian G, Koolivand A, Gu Z, Orella M, Shaw R, O’Connor TF. Development of an RTD-Based Flowsheet Modeling Framework for the Assessment of In-Process Control Strategies. AAPS PharmSciTech 2021; 22:25. [PMID: 33400033 DOI: 10.1208/s12249-020-01913-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/21/2020] [Indexed: 11/30/2022] Open
Abstract
Continuous manufacturing (CM) is an emerging technology which can improve pharmaceutical manufacturing and reduce drug product quality issues. One challenge that needs to be addressed when adopting CM technology is material traceability through the entire continuous process, which constitutes one key aspect of control strategy. Residence time distribution (RTD) plays an important role in material traceability as it characterizes the material spreading through the process. The propagation of upstream disturbances could be predictively tracked through the entire process by convolution of the disturbance and the RTD. The present study sets up the RTD-based modeling framework in a commonly used process modeling environment, gPROMS, and integrates it with existing modules and built-in tools (e.g., parameter estimation). Concentration calculations based on the convolution integral requires access to historical stream property information, which is not readily available in flowsheet modeling platforms. Thus, a novel approach is taken whereby a partial differential equation is used to propagate and store historical data as the simulation marches forward in time. Other stream properties not modeled by an RTD are determined in auxiliary modules. To illustrate the application of the framework, an integrated RTD-auxiliary model for a continuous direct compression manufacturing line was developed. An excellent agreement was found between the model predictions and experiments. The validated model was subsequently used to assess in-process control strategies for feeder and material traceability through the process. Our simulation results show that the employed modeling approach facilitates risk-based assessment of the continuous line by promoting our understanding on the process.
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Furukawa R, Singh R, Ierapetritou M. Effect of material properties on the residence time distribution (RTD) of a tablet press feed frame. Int J Pharm 2020; 591:119961. [DOI: 10.1016/j.ijpharm.2020.119961] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 09/18/2020] [Accepted: 10/05/2020] [Indexed: 11/24/2022]
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7
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Huang Z, Galbraith SC, Cha B, Liu H, Park S, Flamm MH, Metzger M, Tantuccio A, Yoon S. Effects of process parameters on tablet critical quality attributes in continuous direct compression: a case study of integrating data-driven statistical models and mechanistic compaction models. Pharm Dev Technol 2020; 25:1204-1215. [PMID: 32808839 DOI: 10.1080/10837450.2020.1805760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Continuous manufacturing of oral-dosage drug products is increasing the need for rigorous process understanding both from a process design and control perspective. The purpose of this study is to develop a methodology that analyzes the effects of upstream process parameters on continuous tablet compaction and then correlates associated upstream variables to the final tablet attributes (e.g. relative density and hardness). The impact of three process parameters (system throughput, blender speed, and compaction force) on tablet attributes is investigated using a full factorial experimental design. As expected, the compaction force was found to be the most significant process parameter. However, importantly, throughput was discovered to have a non-negligible impact which was previously unaccounted for. This impact is proposed to be related to differing levels of powder pre-compression. An empirical model for this relationship is regressed and incorporated into a flowsheet model. The flowsheet model is then used to develop an in silico design space which is compared favorably to that built from experiments. Moreover, in the future, the in silico design space based on the validated flowsheet model can provide better manufacturing flexibility and make control strategy development simpler.
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Affiliation(s)
- Zhuangrong Huang
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
| | - Shaun C Galbraith
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
| | - Bumjoon Cha
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
| | - Huolong Liu
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
| | - Seoyoung Park
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
| | - Matthew H Flamm
- Applied Mathematics and Modeling, Scientific Modeling Platforms, Merck & Co., Inc, Kenilworth, NJ, USA
| | - Matt Metzger
- Pharmaceutical Commercialization Technology, Merck & Co., Inc, Kenilworth, NJ, USA
| | - Anthony Tantuccio
- Pharmaceutical Commercialization Technology, Merck & Co., Inc, Kenilworth, NJ, USA
| | - Seongkyu Yoon
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
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Zhong L, Gao L, Li L, Zang H. Trends-process analytical technology in solid oral dosage manufacturing. Eur J Pharm Biopharm 2020; 153:187-199. [DOI: 10.1016/j.ejpb.2020.06.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 06/11/2020] [Accepted: 06/14/2020] [Indexed: 10/24/2022]
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9
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Park MS, Choi DH. Application of mechanism-based modeling to predict drug quality during the pharmaceutical unit operations of granulation and compression: a review. JOURNAL OF PHARMACEUTICAL INVESTIGATION 2020. [DOI: 10.1007/s40005-020-00489-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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10
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Tian G, Koolivand A, Arden NS, Lee S, O'Connor TF. Quality risk assessment and mitigation of pharmaceutical continuous manufacturing using flowsheet modeling approach. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.06.033] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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11
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Integrated continuous manufacturing in pharmaceutical industry: current evolutionary steps toward revolutionary future. Pharm Pat Anal 2019; 8:139-161. [DOI: 10.4155/ppa-2019-0011] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Continuous manufacturing (CM) has the potential to provide pharmaceutical products with better quality, improved yield and with reduced cost and time. Moreover, ease of scale-up, small manufacturing footprint and on-line/in-line monitoring and control of the process are other merits for CM. Regulating authorities are supporting the adoption of CM by pharmaceutical manufacturers through issuing proper guidelines. However, implementation of this technology in pharmaceutical industry is encountered by a number of challenges regarding the process development and quality assurance. This article provides a background on the implementation of CM in pharmaceutical industry, literature survey of the most recent state-of-the-art technologies and critically discussing the encountered challenges and its future prospective in pharmaceutical industry.
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12
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Costandy JG, Edgar TF, Baldea M. Switching from Batch to Continuous Reactors Is a Trajectory Optimization Problem. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b01126] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Joseph G. Costandy
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Thomas F. Edgar
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Energy Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Michael Baldea
- Energy Institute, The University of Texas at Austin, Austin, Texas 78712, United States
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas 78712, United States
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13
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A Computationally Efficient Surrogate-Based Reduction of a Multiscale Comill Process Model. J Pharm Innov 2019. [DOI: 10.1007/s12247-019-09388-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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14
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Dynamic Flowsheet Model Development and Sensitivity Analysis of a Continuous Pharmaceutical Tablet Manufacturing Process Using the Wet Granulation Route. Processes (Basel) 2019. [DOI: 10.3390/pr7040234] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
In view of growing interest and investment in continuous manufacturing, the development and utilization of mathematical model(s) of the manufacturing line is of prime importance. These models are essential for understanding the complex interplay between process-wide critical process parameters (CPPs) and critical quality attributes (CQAs) beyond the individual process operations. In this work, a flowsheet model that is an approximate representation of the ConsiGma TM -25 line for continuous tablet manufacturing, including wet granulation, is developed. The manufacturing line involves various unit operations, i.e., feeders, blenders, a twin-screw wet granulator, a fluidized bed dryer, a mill, and a tablet press. The unit operations are simulated using various modeling approaches such as data-driven models, semi-empirical models, population balance models, and mechanistic models. Intermediate feeders, blenders, and transfer lines between the units are also simulated. The continuous process is simulated using the flowsheet model thus developed and case studies are provided to demonstrate its application for dynamic simulation. Finally, the flowsheet model is used to systematically identify critical process parameters (CPPs) that affect process responses of interest using global sensitivity analysis methods. Liquid feed rate to the granulator, and air temperature and drying time in the dryer are identified as CPPs affecting the tablet properties.
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Escotet-Espinoza MS, Moghtadernejad S, Oka S, Wang Z, Wang Y, Roman-Ospino A, Schäfer E, Cappuyns P, Van Assche I, Futran M, Muzzio F, Ierapetritou M. Effect of material properties on the residence time distribution (RTD) characterization of powder blending unit operations. Part II of II: Application of models. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2018.12.051] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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16
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Sebastian Escotet-Espinoza M, Moghtadernejad S, Oka S, Wang Y, Roman-Ospino A, Schäfer E, Cappuyns P, Van Assche I, Futran M, Ierapetritou M, Muzzio F. Effect of tracer material properties on the residence time distribution (RTD) of continuous powder blending operations. Part I of II: Experimental evaluation. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2018.10.040] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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17
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Pereira GC, Muddu SV, Román-Ospino AD, Clancy D, Igne B, Airiau C, Muzzio FJ, Ierapetritou M, Ramachandran R, Singh R. Combined Feedforward/Feedback Control of an Integrated Continuous Granulation Process. J Pharm Innov 2018. [DOI: 10.1007/s12247-018-9347-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Martinetz M, Karttunen AP, Sacher S, Wahl P, Ketolainen J, Khinast J, Korhonen O. RTD-based material tracking in a fully-continuous dry granulation tableting line. Int J Pharm 2018; 547:469-479. [DOI: 10.1016/j.ijpharm.2018.06.011] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 05/30/2018] [Accepted: 06/04/2018] [Indexed: 11/28/2022]
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Cotabarren IM, Bertín D, Razuc M, Ramírez-Rigo MV, Piña J. Modelling of the spray drying process for particle design. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.01.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Singh R. Model-based control system design and evaluation for continuous tablet manufacturing processes (via direct compaction, via roller compaction, via wet granulation). COMPUTER AIDED CHEMICAL ENGINEERING 2018. [DOI: 10.1016/b978-0-444-63963-9.00013-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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21
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Process analysis and optimization of continuous pharmaceutical manufacturing using flowsheet models. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2017.02.030] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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22
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RTD modeling of a continuous dry granulation process for process control and materials diversion. Int J Pharm 2017; 528:334-344. [DOI: 10.1016/j.ijpharm.2017.06.001] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 05/31/2017] [Accepted: 06/01/2017] [Indexed: 11/23/2022]
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23
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Yabuta K, Hirao M, Sugiyama H. Process Model for Enhancing Yield in Sterile Drug Product Manufacturing. J Pharm Innov 2017. [DOI: 10.1007/s12247-017-9278-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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24
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Harding K, Harrison S. Generic flow sheet model for early inventory estimates of industrial microbial processes. I. Flowsheet development, microbial growth and product formation. SOUTH AFRICAN JOURNAL OF CHEMICAL ENGINEERING 2016. [DOI: 10.1016/j.sajce.2016.10.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Ierapetritou M, Muzzio F, Reklaitis G. Perspectives on the continuous manufacturing of powder-based pharmaceutical processes. AIChE J 2016. [DOI: 10.1002/aic.15210] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Marianthi Ierapetritou
- Dept. of Chemical and Biochemical Engineering, Rutgers; The State University of New Jersey; Piscataway NJ 08854-8058
| | - Fernando Muzzio
- Dept. of Chemical and Biochemical Engineering, Rutgers; The State University of New Jersey; Piscataway NJ 08854-8058
| | - Gintaras Reklaitis
- School of Chemical Engineering; Purdue University; 480 Stadium Mall Drive West Lafayette IN 47907-2100
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Chaudhury A, Sen M, Barrasso D, Ramachandran R. Population Balance Models for Pharmaceutical Processes. METHODS IN PHARMACOLOGY AND TOXICOLOGY 2016:43-83. [DOI: 10.1007/978-1-4939-2996-2_2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/19/2023]
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Teżyk M, Milanowski B, Ernst A, Lulek J. Recent progress in continuous and semi-continuous processing of solid oral dosage forms: a review. Drug Dev Ind Pharm 2015; 42:1195-214. [PMID: 26592545 DOI: 10.3109/03639045.2015.1122607] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
CONTEXT Continuous processing is an innovative production concept well known and successfully used in other industries for many years. The modern pharmaceutical industry is facing the challenge of transition from a traditional manufacturing approach based on batch-wise production to a continuous manufacturing model. OBJECTIVE The aim of this article is to present technological progress in manufacturing based on continuous and semi-continuous processing of the solid oral dosage forms. METHODS Single unit processes possessing an alternative processing pathway to batch-wise technology or, with some modification, an altered approach that may run continuously, and are thus able to seamlessly switch to continuous manufacturing are briefly presented. Furthermore, the concept of semi-continuous processing is discussed. Subsequently, more sophisticated production systems created by coupling single unit processes and comprising all the steps of production, from powder to final dosage form, were reviewed. Finally, attempts of end-to-end production approach, meaning the linking of continuous synthesis of API from intermediates with the production of final dosage form, are described. RESULTS There are a growing number of scientific articles showing an increasing interest in changing the approach to the production of pharmaceuticals in recent years. Numerous scientific publications are a source of information on the progress of knowledge and achievements of continuous processing. These works often deal with issues of how to modify or replace the unit processes in order to enable seamlessly switching them into continuous processing. A growing number of research papers concentrate on integrated continuous manufacturing lines in which the production concept of "from powder to tablet" is realized. Four main domains are under investigation: influence of process parameters on intermediates or final dosage forms properties, implementation of process analytical tools, control-managing system responsible for keeping continuous materials flow through the whole manufacturing process and the development of new computational methods to assess or simulate these new manufacturing techniques. The attempt to connect the primary and secondary production steps proves that development of continuously operating lines is possible. CONCLUSION A mind-set change is needed to be able to face, and fully assess, the advantages and disadvantages of switching from batch to continuous mode production.
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Affiliation(s)
- Michał Teżyk
- a Gedeon Richter Polska Sp. z o.o. , Grodzisk Mazowiecki , Poland ;,b Department of Pharmaceutical Technology , Faculty of Pharmacy, Poznan University of Medical Sciences , Poznan , Poland
| | - Bartłomiej Milanowski
- b Department of Pharmaceutical Technology , Faculty of Pharmacy, Poznan University of Medical Sciences , Poznan , Poland
| | - Andrzej Ernst
- a Gedeon Richter Polska Sp. z o.o. , Grodzisk Mazowiecki , Poland
| | - Janina Lulek
- b Department of Pharmaceutical Technology , Faculty of Pharmacy, Poznan University of Medical Sciences , Poznan , Poland
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29
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Rogers A, Ierapetritou M. Feasibility and flexibility analysis of black-box processes Part 1: Surrogate-based feasibility analysis. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2015.06.014] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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30
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Rantanen J, Khinast J. The Future of Pharmaceutical Manufacturing Sciences. J Pharm Sci 2015; 104:3612-3638. [PMID: 26280993 PMCID: PMC4973848 DOI: 10.1002/jps.24594] [Citation(s) in RCA: 209] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2014] [Revised: 06/26/2015] [Accepted: 06/29/2015] [Indexed: 12/13/2022]
Abstract
The entire pharmaceutical sector is in an urgent need of both innovative technological solutions and fundamental scientific work, enabling the production of highly engineered drug products. Commercial-scale manufacturing of complex drug delivery systems (DDSs) using the existing technologies is challenging. This review covers important elements of manufacturing sciences, beginning with risk management strategies and design of experiments (DoE) techniques. Experimental techniques should, where possible, be supported by computational approaches. With that regard, state-of-art mechanistic process modeling techniques are described in detail. Implementation of materials science tools paves the way to molecular-based processing of future DDSs. A snapshot of some of the existing tools is presented. Additionally, general engineering principles are discussed covering process measurement and process control solutions. Last part of the review addresses future manufacturing solutions, covering continuous processing and, specifically, hot-melt processing and printing-based technologies. Finally, challenges related to implementing these technologies as a part of future health care systems are discussed.
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Affiliation(s)
- Jukka Rantanen
- Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
| | - Johannes Khinast
- Institute of Process and Particle Engineering, Graz University of Technology, Graz, Austria; Research Center Pharmaceutical Engineering, Graz, Austria.
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32
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Compartment based population balance modeling of a high shear wet granulation process using data analytics. Chem Eng Res Des 2015. [DOI: 10.1016/j.cherd.2014.10.024] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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33
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Simon LL, Pataki H, Marosi G, Meemken F, Hungerbühler K, Baiker A, Tummala S, Glennon B, Kuentz M, Steele G, Kramer HJM, Rydzak JW, Chen Z, Morris J, Kjell F, Singh R, Gani R, Gernaey KV, Louhi-Kultanen M, O’Reilly J, Sandler N, Antikainen O, Yliruusi J, Frohberg P, Ulrich J, Braatz RD, Leyssens T, von Stosch M, Oliveira R, Tan RBH, Wu H, Khan M, O’Grady D, Pandey A, Westra R, Delle-Case E, Pape D, Angelosante D, Maret Y, Steiger O, Lenner M, Abbou-Oucherif K, Nagy ZK, Litster JD, Kamaraju VK, Chiu MS. Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review. Org Process Res Dev 2015. [DOI: 10.1021/op500261y] [Citation(s) in RCA: 269] [Impact Index Per Article: 29.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
| | - Hajnalka Pataki
- Department
of Organic Chemistry and Technology, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary
| | - György Marosi
- Department
of Organic Chemistry and Technology, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary
| | - Fabian Meemken
- Department
of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg
1, 8093 Zürich, Switzerland
| | - Konrad Hungerbühler
- Department
of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg
1, 8093 Zürich, Switzerland
| | - Alfons Baiker
- Department
of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg
1, 8093 Zürich, Switzerland
| | - Srinivas Tummala
- Chemical
Development, Bristol-Myers Squibb Company, One Squibb Dr, New Brunswick, New Jersey 08903, United States
| | - Brian Glennon
- Synthesis
and Solid State Pharmaceutical Centre, School of Chemical and Bioprocess
Engineering, University College Dublin, Belfield, Dublin 4, Ireland
- APC Ltd, Belfield Innovation
Park, Dublin 4, Ireland
| | - Martin Kuentz
- School of Life
Sciences, Institute of Pharma Technology, University of Applied Sciences and Arts Northwestern Switzerland, Gründenstrasse 40, 4132 Muttenz, Switzerland
| | - Gerry Steele
- PharmaCryst Consulting
Ltd., Loughborough, Leicestershire LE11 3HN, U.K
| | - Herman J. M. Kramer
- Intensified Reaction & Separation Systems, Delft University of Technology, Leeghwaterstraat 39, 2628 CB Delft, The Netherlands
| | - James W. Rydzak
- GlaxoSmithKline Pharmaceuticals, 709 Swedeland Rd, King of
Prussia, Pennsylvania 19406, United States
| | - Zengping Chen
- State Key
Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry
and Chemical Engineering, Hunan University, Changsha, Hunan 410082, PR China
| | - Julian Morris
- Centre for Process Analytics & Control Technology, School of Chemical Engineering & Advanced Materials, Newcastle University, Newcastle upon Tyne, Tyne and Wear NE17RU, U.K
| | - Francois Kjell
- Siemens nv/sa,
Industry
Automation − SIPAT Industry Software, Marie Curie Square 30, 1070 Brussels, Belgium
| | - Ravendra Singh
- CAPEC-PROCESS,
Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), Building 229, DK-2800 Lyngby, Denmark
| | - Rafiqul Gani
- CAPEC-PROCESS,
Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), Building 229, DK-2800 Lyngby, Denmark
| | - Krist V. Gernaey
- CAPEC-PROCESS,
Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), Building 229, DK-2800 Lyngby, Denmark
| | - Marjatta Louhi-Kultanen
- Department
of Chemical Technology, Lappeenranta University of Technology, P.O. Box 20, FI-53851 Lappeenranta, Finland
| | - John O’Reilly
- Roche Ireland
Limited, Clarecastle, Co. Clare, Ireland
| | - Niklas Sandler
- Pharmaceutical
Sciences Laboratory, Department of Biosciences, Abo Akademi University, Artillerigatan 6, 20520 Turku, Finland
| | - Osmo Antikainen
- Division
of Pharmaceutical Technology, Faculty of Pharmacy, University of Helsinki, Yliopistonkatu 4, 00100 Helsinki, Finland
| | - Jouko Yliruusi
- Division
of Pharmaceutical Technology, Faculty of Pharmacy, University of Helsinki, Yliopistonkatu 4, 00100 Helsinki, Finland
| | - Patrick Frohberg
- Center of
Engineering Science, Thermal Process Engineering, Martin Luther University Halle-Wittenberg, D-06099 Halle (Saale), Germany
| | - Joachim Ulrich
- Center of
Engineering Science, Thermal Process Engineering, Martin Luther University Halle-Wittenberg, D-06099 Halle (Saale), Germany
| | - Richard D. Braatz
- Massachusetts Institute
of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Tom Leyssens
- Institute
of Condensed Matter and Nanosciences, Université Catholique de Louvain, Place Louis Pasteur 1, 1348 Louvain-la-Neuve, Belgium
| | - Moritz von Stosch
- REQUIMTE
- Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 1099-085 Caparica, Portugal
- HybPAT, Caparica, Portugal
| | - Rui Oliveira
- REQUIMTE
- Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 1099-085 Caparica, Portugal
- HybPAT, Caparica, Portugal
| | - Reginald B. H. Tan
- Institute
of Chemical and Engineering Sciences, A*Star, 1 Pesek Road, Singapore 627833
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576
| | - Huiquan Wu
- Division
of Product Quality Research, Office of Testing and Research, Office
of Pharmaceutical Science, Center for Drug Evaluation and Research, US Food and Drug Administration (FDA), Silver Spring, Maryland 20993, United States
| | - Mansoor Khan
- Division
of Product Quality Research, Office of Testing and Research, Office
of Pharmaceutical Science, Center for Drug Evaluation and Research, US Food and Drug Administration (FDA), Silver Spring, Maryland 20993, United States
| | - Des O’Grady
- Mettler Toledo
AutoChem, 7075 Samuel Morse Drive, Columbia, Maryland 20146, United States
| | - Anjan Pandey
- Mettler Toledo
AutoChem, 7075 Samuel Morse Drive, Columbia, Maryland 20146, United States
| | - Remko Westra
- FMC Technologies B.V., Delta 101, 6825 MN Arnhem, The Netherlands
| | - Emmanuel Delle-Case
- University of Tulsa, 800 South Tucker
Drive, Tulsa, Oklahoma 74104, United States
| | - Detlef Pape
- ABB Corporate Research Center, Segelhofstrasse
1K, 5405, Dättwil, Baden, Switzerland
| | - Daniele Angelosante
- ABB Corporate Research Center, Segelhofstrasse
1K, 5405, Dättwil, Baden, Switzerland
| | - Yannick Maret
- ABB Corporate Research Center, Segelhofstrasse
1K, 5405, Dättwil, Baden, Switzerland
| | - Olivier Steiger
- ABB Corporate Research Center, Segelhofstrasse
1K, 5405, Dättwil, Baden, Switzerland
| | - Miklós Lenner
- ABB Corporate Research Center, Segelhofstrasse
1K, 5405, Dättwil, Baden, Switzerland
| | - Kaoutar Abbou-Oucherif
- School of
Chemical Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Zoltan K. Nagy
- School of
Chemical Engineering, Purdue University, West Lafayette, Indiana 47906, United States
- Chemical
Engineering Department, Loughborough University, Loughborough, LE11 3TU, U.K
| | - James D. Litster
- School of
Chemical Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Vamsi Krishna Kamaraju
- Synthesis
and Solid State Pharmaceutical Centre, School of Chemical and Bioprocess
Engineering, University College Dublin, Belfield, Dublin 4, Ireland
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576
| | - Min-Sen Chiu
- Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576
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Singh R, Sahay A, Karry KM, Muzzio F, Ierapetritou M, Ramachandran R. Implementation of an advanced hybrid MPC–PID control system using PAT tools into a direct compaction continuous pharmaceutical tablet manufacturing pilot plant. Int J Pharm 2014; 473:38-54. [DOI: 10.1016/j.ijpharm.2014.06.045] [Citation(s) in RCA: 75] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Revised: 05/29/2014] [Accepted: 06/25/2014] [Indexed: 11/28/2022]
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Singh R, Sahay A, Muzzio F, Ierapetritou M, Ramachandran R. A systematic framework for onsite design and implementation of a control system in a continuous tablet manufacturing process. Comput Chem Eng 2014. [DOI: 10.1016/j.compchemeng.2014.02.029] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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A Hybrid MPC-PID Control System Design for the Continuous Purification and Processing of Active Pharmaceutical Ingredients. Processes (Basel) 2014. [DOI: 10.3390/pr2020392] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Sen M, Singh R, Ramachandran R. Simulation-Based Design of an Efficient Control System for the Continuous Purification and Processing of Active Pharmaceutical Ingredients. J Pharm Innov 2014. [DOI: 10.1007/s12247-014-9173-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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38
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Chaudhury A, Barrasso D, Pandey P, Wu H, Ramachandran R. Population Balance Model Development, Validation, and Prediction of CQAs of a High-Shear Wet Granulation Process: Towards QbD in Drug Product Pharmaceutical Manufacturing. J Pharm Innov 2014. [DOI: 10.1007/s12247-014-9172-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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39
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Singh R, Barrasso D, Chaudhury A, Sen M, Ierapetritou M, Ramachandran R. Closed-Loop Feedback Control of a Continuous Pharmaceutical Tablet Manufacturing Process via Wet Granulation. J Pharm Innov 2014. [DOI: 10.1007/s12247-014-9170-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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40
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A Multi-Scale Hybrid CFD-DEM-PBM Description of a Fluid-Bed Granulation Process. Processes (Basel) 2014. [DOI: 10.3390/pr2010089] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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41
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Challenges and Opportunities in Pharmaceutical Manufacturing Modeling and Optimization. PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON FOUNDATIONS OF COMPUTER-AIDED PROCESS DESIGN 2014. [DOI: 10.1016/b978-0-444-63433-7.50015-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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42
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Rogers AJ, Inamdar C, Ierapetritou MG. An Integrated Approach to Simulation of Pharmaceutical Processes for Solid Drug Manufacture. Ind Eng Chem Res 2013. [DOI: 10.1021/ie401344a] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Amanda J. Rogers
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States
| | - Chaitali Inamdar
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States
| | - Marianthi G. Ierapetritou
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States
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Sen M, Rogers A, Singh R, Chaudhury A, John J, Ierapetritou MG, Ramachandran R. Flowsheet optimization of an integrated continuous purification-processing pharmaceutical manufacturing operation. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.07.035] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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44
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Modeling of Particulate Processes for the Continuous Manufacture of Solid-Based Pharmaceutical Dosage Forms. Processes (Basel) 2013. [DOI: 10.3390/pr1020067] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
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