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1
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Kim Y, Kawajiri Y, Rousseau RW, Grover MA. Modeling of Nucleation, Growth, and Dissolution of Paracetamol in Ethanol Solution for Unseeded Batch Cooling Crystallization with Temperature-Cycling Strategy. Ind Eng Chem Res 2023. [DOI: 10.1021/acs.iecr.2c03465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Youngjo Kim
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia30332, United States
| | - Yoshiaki Kawajiri
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia30332, United States
- Department of Materials Process Engineering, Nagoya University, Nagoya, Aichi464-8603, Japan
| | - Ronald W. Rousseau
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia30332, United States
| | - Martha A. Grover
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia30332, United States
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2
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Distribution characteristics of salt crystals in a supercritical water fluidized bed reactor with CFD-PBM coupled model. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2023.118357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
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3
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P S, Kumari A, Kundu S, Sankar VR, Thella PK, Shah K, Bhargava SK. Design and Optimization of Antisolvent Crystallization of L-aspartic acid using Response Surface Model: Focused Beam Reflectance Measurements. Chem Eng Res Des 2023. [DOI: 10.1016/j.cherd.2023.01.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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4
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Kim S, Yeol Lee S, Woong Chang J, Ryook Yang D. Evaluation of the kinetics of unseeded batch cooling crystallization using population balance modeling: sucrose and KNO3 case studies. J IND ENG CHEM 2022. [DOI: 10.1016/j.jiec.2022.11.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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5
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Orehek J, Teslić D, Likozar B. Mechanistic modeling of a continuous multi-segment multi-addition antisolvent crystallization of benzoic acid in a coiled flow inverter (CFI) crystallizer. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.121571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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6
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Machado Neubauer T, Santos Serpa F, Franceschi E, Dariva C, Sayer C, Hermes de Araújo PH, Barbosa Castro B, Aldeia W, da Costa C. Crystallization of Calcium Carbonate: Modeling Thermodynamic Equilibrium, Pathway, Nucleation, Growth, Agglomeration, and Dissolution Kinetics with the Presence of Mg 2+, Ba 2+, and Sr 2+. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Thiago Machado Neubauer
- Department of Chemical and Food Engineering/CTC, Federal University of Santa Catarina, P.O. Box 476, Florianópolis, SC CEP 88040-970, Brazil
| | - Fabiane Santos Serpa
- Center for Study on Colloidal Systems (NUESC)/Institute of Technology and Research (ITP), Av. Murilo Dantas, 300, Aracaju, SE CEP 49032-490, Brazil
| | - Elton Franceschi
- Center for Study on Colloidal Systems (NUESC)/Institute of Technology and Research (ITP), Av. Murilo Dantas, 300, Aracaju, SE CEP 49032-490, Brazil
| | - Claudio Dariva
- Center for Study on Colloidal Systems (NUESC)/Institute of Technology and Research (ITP), Av. Murilo Dantas, 300, Aracaju, SE CEP 49032-490, Brazil
| | - Claudia Sayer
- Department of Chemical and Food Engineering/CTC, Federal University of Santa Catarina, P.O. Box 476, Florianópolis, SC CEP 88040-970, Brazil
| | - Pedro Henrique Hermes de Araújo
- Department of Chemical and Food Engineering/CTC, Federal University of Santa Catarina, P.O. Box 476, Florianópolis, SC CEP 88040-970, Brazil
| | - Bruno Barbosa Castro
- Leopoldo Américo Miguez de Mello Research and Development Center (CENPES)/Petróleo Brasileiro S/A (PETROBRAS), Av. Horácio Macedo, 950, Ilha do Fundão, Rio de Janeiro, RJ CEP 21941-915, Brazil
| | - Wagner Aldeia
- Institute of Technological Research-IPT, Av. Prof. Almeida Prado, 532 - Butantã, São Paulo, SP CEP 05508-901, Brazil
| | - Cristiane da Costa
- Department of Chemical and Food Engineering/CTC, Federal University of Santa Catarina, P.O. Box 476, Florianópolis, SC CEP 88040-970, Brazil
- Department of Textile Engineering/CTE, Federal University of Santa Catarina, Rua João Pessoa, 2514, Blumenau, SC CEP 89036-004, Brazil
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7
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Zheng Y, Zhao T, Wang X, Wu Z. Online Learning‐Based Predictive Control of Crystallization Processes under Batch‐to‐Batch Parametric Drift. AIChE J 2022. [DOI: 10.1002/aic.17815] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Yingzhe Zheng
- Department of Chemical and Biomolecular Engineering National University of Singapore Singapore
| | - Tianyi Zhao
- Department of Chemical and Biomolecular Engineering National University of Singapore Singapore
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Binhai New City Fuzhou China
| | - Xiaonan Wang
- Department of Chemical and Biomolecular Engineering National University of Singapore Singapore
- Department of Chemical Engineering Tsinghua University Beijing China
| | - Zhe Wu
- Department of Chemical and Biomolecular Engineering National University of Singapore Singapore
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8
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Zheng Y, Wang X, Wu Z. Machine Learning Modeling and Predictive Control of the Batch Crystallization Process. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00026] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yingzhe Zheng
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
| | - Xiaonan Wang
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
- Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
| | - Zhe Wu
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
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9
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Shen L, Dang M. Recent Advance of Melt Crystallization, Towards Process Intensification and Techniques Development. CrystEngComm 2022. [DOI: 10.1039/d2ce00022a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Melt crystallization has been considered as a green separation technique and widely applied in industry and manufacture due to several attractive features, including no need for solvent, achieving specific product...
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10
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Yu F, Mao Y, Zhao H, Zhang X, Wang T, Yuan M, Ding S, Wang N, Huang X, Hao H. Enhancement of Continuous Crystallization of Lysozyme through Ultrasound. Org Process Res Dev 2021. [DOI: 10.1021/acs.oprd.1c00292] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Fei Yu
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yafei Mao
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Hongtu Zhao
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Xiunan Zhang
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Ting Wang
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Mingpu Yuan
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Suping Ding
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Na Wang
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Xin Huang
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Hongxun Hao
- National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, China
- School of Chemical Engineering and Technology, Hainan University, Haikou 570208, China
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11
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Zhang F, Shan B, Wang Y, Zhu Z, Yu ZQ, Ma CY. Progress and Opportunities for Utilizing Seeding Techniques in Crystallization Processes. Org Process Res Dev 2021. [DOI: 10.1021/acs.oprd.1c00103] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Fangkun Zhang
- College of Automation and Electronic Engineering, Qingdao University of Science & Technology, Qingdao, 266061, P. R. China
| | - Baoming Shan
- College of Automation and Electronic Engineering, Qingdao University of Science & Technology, Qingdao, 266061, P. R. China
| | - Yinglong Wang
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, 266061, P. R. China
| | - Zhaoyou Zhu
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, 266061, P. R. China
| | - Zai-Qun Yu
- Institute of Chemical & Engineering Sciences, Agency for Science, Technology and Research (A*STAR), 1 Pesek Road, Jurong Island, Singapore 627833
| | - Cai Y. Ma
- Centre for the Digital Design of Drug Products, School of Chemical and Process Engineering, University of Leeds, Leeds, LS2 9JT, United Kingdom
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12
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Orehek J, Češnovar M, Teslić D, Likozar B. Mechanistic crystal size distribution (CSD)-based modelling of continuous antisolvent crystallization of benzoic acid. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.04.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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13
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Fytopoulos AA, Kavousanakis ME, Van Gerven T, Boudouvis AG, Stefanidis GD, Xiouras C. Crystal Growth, Dissolution, and Agglomeration Kinetics of Sodium Chlorate. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c00595] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Antonios A. Fytopoulos
- Department of Chemical Engineering KU Leuven, Process Engineering for Sustainable Systems (ProcESS), Celestijnenlaan 200F, 3001 Leuven, Belgium
- School of Chemical Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15780 Athens, Greece
| | - Michail E. Kavousanakis
- School of Chemical Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15780 Athens, Greece
| | - Tom Van Gerven
- Department of Chemical Engineering KU Leuven, Process Engineering for Sustainable Systems (ProcESS), Celestijnenlaan 200F, 3001 Leuven, Belgium
| | - Andreas G. Boudouvis
- School of Chemical Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15780 Athens, Greece
| | - Georgios D. Stefanidis
- School of Chemical Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15780 Athens, Greece
| | - Christos Xiouras
- Crystallization Technology Unit (CTU), Janssen Research & Development, Janssen Pharmaceutical Companies of Johnson & Johnson, Turnhoutseweg 30, 2340 Beerse, Belgium
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14
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Zhao Y, Cui J, Liu L, Hou G, Kamaraju VK, Glennon B. Crystal Growth Kinetics of Benzoic Acid in Aqueous Ethanol Solution. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c05162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yan Zhao
- School of Chemical Engineering, Hebei Normal University of Science and Technology, Qinhuangdao 066004, P. R. China
- Synthesis and Solid State Pharmaceutical Centre (SSPC), School of Chemical and Bioprocess Engineering, University College Dublin, Dublin D4, Ireland
| | - Jingjing Cui
- School of Chemical Engineering, Hebei Normal University of Science and Technology, Qinhuangdao 066004, P. R. China
| | - Lu Liu
- School of Chemical Engineering, Hebei Normal University of Science and Technology, Qinhuangdao 066004, P. R. China
| | | | | | - Brian Glennon
- Synthesis and Solid State Pharmaceutical Centre (SSPC), School of Chemical and Bioprocess Engineering, University College Dublin, Dublin D4, Ireland
- APC Ltd, Dublin D4, Ireland
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15
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Crystal-size distribution-based dynamic process modelling, optimization, and scaling for seeded batch cooling crystallization of Active Pharmaceutical Ingredients (API). Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2020.10.029] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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16
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Orehek J, Teslić D, Likozar B. Continuous Crystallization Processes in Pharmaceutical Manufacturing: A Review. Org Process Res Dev 2020. [DOI: 10.1021/acs.oprd.0c00398] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Jaka Orehek
- National Institute of Chemistry, Hajdrihova 19, 1001 Ljubljana, Slovenia
- Lek d. d., Sandoz, a Novartis division, Verovškova 57, 1526 Ljubljana, Slovenia
| | - Dušan Teslić
- Lek d. d., Sandoz, a Novartis division, Verovškova 57, 1526 Ljubljana, Slovenia
| | - Blaž Likozar
- National Institute of Chemistry, Hajdrihova 19, 1001 Ljubljana, Slovenia
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17
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Sheng L, Li J, He G, Xiao W, Yan X, Li X, Ruan X, Jiang X. Visual study and simulation of interfacial liquid layer mass transfer in membrane-assisted antisolvent crystallization. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.116003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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18
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Singh M, Singh R, Singh S, Walker G, Matsoukas T. Discrete finite volume approach for multidimensional agglomeration population balance equation on unstructured grid. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.08.022] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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19
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Unno J, Hirasawa I. Partial Seeding Policy for Controlling the Crystal Quality in Batch Cooling Crystallization. Chem Eng Technol 2020. [DOI: 10.1002/ceat.201900618] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Joi Unno
- Waseda UniversityDepartment of Applied Chemistry, School of Advanced Science and Engineering 3-4-1 Okubo, Shinjuku 169-8555 Tokyo Japan
| | - Izumi Hirasawa
- Waseda UniversityDepartment of Applied Chemistry, School of Advanced Science and Engineering 3-4-1 Okubo, Shinjuku 169-8555 Tokyo Japan
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20
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Parameter Estimation of the Stochastic Primary Nucleation Kinetics by Stochastic Integrals Using Focused-Beam Reflectance Measurements. CRYSTALS 2020. [DOI: 10.3390/cryst10050380] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The kinetic parameters of stochastic primary nucleation were estimated for the batch-cooling crystallization of L-arginine. It is difficult for process analytical tools to detect the first nucleus. In this study, the latent period for the total number of crystals to be increased to a predetermined threshold was repeatedly measured with focused-beam reflectance measurements. Consequently, the latent periods were different in each measurement due to the stochastic behavior of both primary and secondary nucleation. Therefore, at first, the distribution of the latent periods was estimated by a Monte Carlo simulation for some combinations of the kinetic parameters of primary nucleation. In the simulation, stochastic integrals of the population and mass balance equations were solved. Then, the parameters of the distribution of latent periods were estimated and correlated with the kinetic parameters of primary nucleation. The resulting correlation was represented by a mapping. Finally, the parameters of the actual distribution were input into the inverse mapping, and the kinetic parameters were estimated as the outputs. The estimated kinetic parameters were validated using statistical techniques, which implied that the observed distribution function of the latent periods for the thresholds used in the estimation coincided reasonably with the simulated one based on the estimated parameters.
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21
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Trampuž M, Teslić D, Likozar B. Process analytical technology-based (PAT) model simulations of a combined cooling, seeded and antisolvent crystallization of an active pharmaceutical ingredient (API). POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.03.027] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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