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Thakur AK, Kumar R, Vipin Kumar V, Kumar A, Kumar Gaurav G, Naresh Gupta K. A critical review on thermodynamic and hydrodynamic modeling and simulation of liquid antisolvent crystallization of pharmaceutical compounds. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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2
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Aghajanian S, Ruuskanen V, Nieminen H, Laari A, Honkanen M, Koiranen T. Real-time monitoring and insights into process control of micron-sized calcium carbonate crystallization by an in-line digital microscope camera. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2021.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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3
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Jia S, Yang P, Gao Z, Li Z, Fang C, Gong J. Recent Progress of Antisolvent Crystallization. CrystEngComm 2022. [DOI: 10.1039/d2ce00059h] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Antisolvent crystallization is a significant unit operation in the pharmaceutical industry, especially on drug crystal properties optimization. This paper firstly highlights the applications of antisolvent crystallization in crystal engineering. Antisolvent...
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4
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Aghajanian S, Nieminen H, Laari A, Koiranen T. Integration of a calcium carbonate crystallization process and membrane contactor–based CO2 capture. Sep Purif Technol 2021. [DOI: 10.1016/j.seppur.2021.119043] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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5
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An Ultrasound Tomography Method for Monitoring CO 2 Capture Process Involving Stirring and CaCO 3 Precipitation. SENSORS 2021; 21:s21216995. [PMID: 34770301 PMCID: PMC8587525 DOI: 10.3390/s21216995] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 10/16/2021] [Accepted: 10/19/2021] [Indexed: 11/17/2022]
Abstract
In this work, an ultrasound computed tomography (USCT) system was employed to investigate the fast-kinetic reactive crystallization process of calcium carbonate. USCT measurements and reconstruction provided key insights into the bulk particle distribution inside the stirred tank reactor and could be used to estimate the settling rate and settling time of the particles. To establish the utility of the USCT system for dynamical crystallization processes, first, the experimental imaging tasks were carried out with the stirred solid beads, as well as the feeding and stirring of the CaCO3 crystals. The feeding region, the mixing process, and the particles settling time could be detected from USCT data. Reactive crystallization experiments for CO2 capture were then conducted. Moreover, there was further potential for quantitative characterization of the suspension density in this process. USCT-based reconstructions were investigated for several experimental scenarios and operating conditions. This study demonstrates a real-time monitoring and fault detection application of USCT for reactive crystallization processes. As a robust noninvasive and nonintrusive tool, real-time signal analysis and reconstruction can be beneficial in the development of monitoring and control systems with real-world applications for crystallization processes. A diverse range of experimental studies shown here demonstrate the versatility of the USCT system in process application, hoping to unlock the commercial and industrial utility of the USCT devices.
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6
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Koulountzios P, Rymarczyk T, Soleimani M. Ultrasonic Time-of-Flight Computed Tomography for Investigation of Batch Crystallisation Processes. SENSORS 2021; 21:s21020639. [PMID: 33477565 PMCID: PMC7831116 DOI: 10.3390/s21020639] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 11/24/2022]
Abstract
Crystallisation is a crucial step in many industrial processes. Many sensors are being investigated for monitoring such processes to enhance the efficiency of them. Ultrasound techniques have been used for particle sizing characterization of liquid suspensions, in crystallisation process. An ultrasound tomography system with an array of ultrasound sensors can provide spatial information inside the process when compared to single-measurement systems. In this study, the batch crystallisation experiments have been conducted in a lab-scale reactor in calcium carbonate crystallisation. Real-time ultrasound tomographic imaging is done via a contactless ultrasound tomography sensor array. The effect of the injection rate and the stirring speed was considered as two control parameters in these crystallisation functions. Transmission mode ultrasound tomography comprises 32 piezoelectric transducers with central frequency of 40 kHz has been used. The process-based experimental investigation shows the capability of the proposed ultrasound tomography system for crystallisation process monitoring. Information on process dynamics, as well as process malfunction, can be obtained via the ultrasound tomography system.
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Affiliation(s)
- Panagiotis Koulountzios
- Engineering Tomography Laboratory (ETL), Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK;
| | - Tomasz Rymarczyk
- Research & Development Centre Netrix S.A., Wojciechowska 31, 20-704 Lublin, Poland;
| | - Manuchehr Soleimani
- Engineering Tomography Laboratory (ETL), Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK;
- Correspondence:
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7
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Qu Y, Cheng J, Mao ZS, Yang C. A perspective review on mixing effect for modeling and simulation of reactive and antisolvent crystallization processes. REACT CHEM ENG 2021. [DOI: 10.1039/d0re00223b] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Reactive and antisolvent crystallization processes are sensitive to mixing effects on various scales.
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Affiliation(s)
- Yanli Qu
- CAS Key Laboratory of Green Process and Engineering
- Institute of Process Engineering
- Chinese Academy of Sciences
- Beijing 100190
- China
| | - Jingcai Cheng
- CAS Key Laboratory of Green Process and Engineering
- Institute of Process Engineering
- Chinese Academy of Sciences
- Beijing 100190
- China
| | - Zai-Sha Mao
- CAS Key Laboratory of Green Process and Engineering
- Institute of Process Engineering
- Chinese Academy of Sciences
- Beijing 100190
- China
| | - Chao Yang
- CAS Key Laboratory of Green Process and Engineering
- Institute of Process Engineering
- Chinese Academy of Sciences
- Beijing 100190
- China
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8
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Rehage H, Semmel M, Kind M. A dynamic model for process flowsheet simulation of semi-batch precipitation of sparingly soluble salts. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.106818] [Citation(s) in RCA: 1] [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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9
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Banaga AB, Yue X, Chu G, Wu W, Luo Y, Chen J. Micromixing performance in a rotating bar reactor. CAN J CHEM ENG 2020. [DOI: 10.1002/cjce.23741] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Abdelgadir Bashir Banaga
- State Key Laboratory of Organic‐Inorganic CompositeBeijing University of Chemical Technology Beijing China
- Research Center of the Ministry of Education for High Gravity Engineering and TechnologyBeijing University of Chemical Technology Beijing China
| | - Xu‐Jia Yue
- State Key Laboratory of Organic‐Inorganic CompositeBeijing University of Chemical Technology Beijing China
- Research Center of the Ministry of Education for High Gravity Engineering and TechnologyBeijing University of Chemical Technology Beijing China
| | - Guang‐Wen Chu
- State Key Laboratory of Organic‐Inorganic CompositeBeijing University of Chemical Technology Beijing China
- Research Center of the Ministry of Education for High Gravity Engineering and TechnologyBeijing University of Chemical Technology Beijing China
| | - Wei Wu
- State Key Laboratory of Organic‐Inorganic CompositeBeijing University of Chemical Technology Beijing China
- Research Center of the Ministry of Education for High Gravity Engineering and TechnologyBeijing University of Chemical Technology Beijing China
| | - Yong Luo
- State Key Laboratory of Organic‐Inorganic CompositeBeijing University of Chemical Technology Beijing China
- Research Center of the Ministry of Education for High Gravity Engineering and TechnologyBeijing University of Chemical Technology Beijing China
| | - Jian‐Feng Chen
- State Key Laboratory of Organic‐Inorganic CompositeBeijing University of Chemical Technology Beijing China
- Research Center of the Ministry of Education for High Gravity Engineering and TechnologyBeijing University of Chemical Technology Beijing China
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10
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Statistical methodology for scale-up of an anti-solvent crystallization process in the pharmaceutical industry. Sep Purif Technol 2019. [DOI: 10.1016/j.seppur.2018.12.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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11
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Tuo L, Ruan X, Xiao W, Li X, He G, Jiang X. A novel hollow fiber membrane-assisted antisolvent crystallization for enhanced mass transfer process control. AIChE J 2018. [DOI: 10.1002/aic.16438] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Linghan Tuo
- State Key Laboratory of Fine Chemicals, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, School of Chemical Engineering; Dalian University of Technology; Dalian, 116024 Liaoning China
| | - Xuehua Ruan
- State Key Laboratory of Fine Chemicals, School of Petroleum and Chemical Engineering; Dalian University of Technology at Panjin; Panjin, 124221 Liaoning China
| | - Wu Xiao
- State Key Laboratory of Fine Chemicals, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, School of Chemical Engineering; Dalian University of Technology; Dalian, 116024 Liaoning China
| | - Xiangcun Li
- State Key Laboratory of Fine Chemicals, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, School of Chemical Engineering; Dalian University of Technology; Dalian, 116024 Liaoning China
| | - Gaohong He
- State Key Laboratory of Fine Chemicals, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, School of Chemical Engineering; Dalian University of Technology; Dalian, 116024 Liaoning China
- State Key Laboratory of Fine Chemicals, School of Petroleum and Chemical Engineering; Dalian University of Technology at Panjin; Panjin, 124221 Liaoning China
| | - Xiaobin Jiang
- State Key Laboratory of Fine Chemicals, Engineering Laboratory for Petrochemical Energy-efficient Separation Technology of Liaoning Province, School of Chemical Engineering; Dalian University of Technology; Dalian, 116024 Liaoning China
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12
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Gradov DV, González G, Vauhkonen M, Laari A, Koiranen T. Experimental investigation of reagent feeding point location in a semi-batch precipitation process. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.06.042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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13
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Mohod AV, Gogate PR. Improved crystallization of ammonium sulphate using ultrasound assisted approach with comparison with the conventional approach. ULTRASONICS SONOCHEMISTRY 2018; 41:310-318. [PMID: 29137757 DOI: 10.1016/j.ultsonch.2017.09.047] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2017] [Revised: 09/20/2017] [Accepted: 09/26/2017] [Indexed: 06/07/2023]
Abstract
In chemical processing industries, crystallization is one of the most important operations to obtain solid products with desired purity and characteristics. With distinct processing problems for the conventional approaches for crystallization, research into alternate approaches such as ultrasound assisted crystallization has been on the forefront. The present work deals with comparison of the conventional approach and ultrasound assisted approach for crystallization of ammonium sulphate followed by detailed understanding into the effect of important operating parameters (initial concentration, pH, agitation speed, depth of horn, and cooling approach) on the metastable zone width and average crystal size. Ultrasound assisted crystallization has been investigated using both ultrasonic bath and ultrasonic horn to understand the effect of type of irradiation. It has been observed that the maximum reduction in the MSZW was obtained using ultrasonic horn under conditions of optimized initial concentration. The order of average crystal size obtained for ammonium sulphate was conventional cooling crystallization>ultrasonic bath>ultrasonic horn. The average crystal size obtained was in the range of 411-450µm for conventional approach of cooling crystallization, 350-400µm using ultrasonic bath and 200-250µm using ultrasonic horn. The analysis of crystal size distribution and surface characteristics using the SEM analysis was also performed under set of optimized parameters established using the particle size analysis. Overall the work has clearly established that the ultrasound assisted crystallization gave better results as compared to the conventional cooling crystallization in terms of reduced metastable zone width, better crystal characteristics and less agglomeration.
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Affiliation(s)
- Ashish V Mohod
- Chemical Engineering Department, Institute of Chemical Technology, Matunga, Mumbai 400019, India
| | - Parag R Gogate
- Chemical Engineering Department, Institute of Chemical Technology, Matunga, Mumbai 400019, India.
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14
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Acevedo D, Kamaraju VK, Glennon B, Nagy ZK. Modeling and Characterization of an in Situ Wet Mill Operation. Org Process Res Dev 2017. [DOI: 10.1021/acs.oprd.7b00192] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- David Acevedo
- School
of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| | - Vamsi K. Kamaraju
- APC Ltd., Building 11, Cherrywood
Business Park, Loughlinstown, Co Dublin, Ireland
| | - Brian Glennon
- APC Ltd., Building 11, Cherrywood
Business Park, Loughlinstown, Co Dublin, Ireland
- Synthesis
and Solid State Pharmaceutical Centre (SSPC), School of Chemical and
Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, Ireland
| | - Zoltan K. Nagy
- School
of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
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15
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Nikolić DD, Frawley PJ. Application of the Lagrangian meshfree approach to modelling of batch crystallisation: Part I—Modelling of stirred tank hydrodynamics. Chem Eng Sci 2016. [DOI: 10.1016/j.ces.2015.08.052] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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16
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Wu H, White M, Berendt R, Foringer RD, Khan M. Integrated Process Analytical Technology Approach for Nucleation Induction Time Measurement and Nucleation Mechanism Assessment for a Dynamic Multicomponent Pharmaceutical Antisolvent Crystallization System. Ind Eng Chem Res 2014. [DOI: 10.1021/ie4036466] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Huiquan Wu
- Division of Product Quality
Research (DPQR, HFD-940), Office of Testing and Research (OTR), Office
of Pharmaceutical Sciences (OPS), Center for Drug Evaluation and Research
(CDER), US Food and Drug Administration (FDA), Life Science Building
64, FDA White Oak Campus, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993, United States
| | - Maury White
- Division of Product Quality
Research (DPQR, HFD-940), Office of Testing and Research (OTR), Office
of Pharmaceutical Sciences (OPS), Center for Drug Evaluation and Research
(CDER), US Food and Drug Administration (FDA), Life Science Building
64, FDA White Oak Campus, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993, United States
| | - Robert Berendt
- Division of Product Quality
Research (DPQR, HFD-940), Office of Testing and Research (OTR), Office
of Pharmaceutical Sciences (OPS), Center for Drug Evaluation and Research
(CDER), US Food and Drug Administration (FDA), Life Science Building
64, FDA White Oak Campus, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993, United States
| | - Ryan D. Foringer
- Division of Product Quality
Research (DPQR, HFD-940), Office of Testing and Research (OTR), Office
of Pharmaceutical Sciences (OPS), Center for Drug Evaluation and Research
(CDER), US Food and Drug Administration (FDA), Life Science Building
64, FDA White Oak Campus, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993, United States
| | - Mansoor Khan
- Division of Product Quality
Research (DPQR, HFD-940), Office of Testing and Research (OTR), Office
of Pharmaceutical Sciences (OPS), Center for Drug Evaluation and Research
(CDER), US Food and Drug Administration (FDA), Life Science Building
64, FDA White Oak Campus, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993, United States
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17
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Ferguson S, Morris G, Hao H, Barrett M, Glennon B. Characterization of the anti-solvent batch, plug flow and MSMPR crystallization of benzoic acid. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.09.006] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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18
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Joye IJ, McClements DJ. Production of nanoparticles by anti-solvent precipitation for use in food systems. Trends Food Sci Technol 2013. [DOI: 10.1016/j.tifs.2013.10.002] [Citation(s) in RCA: 162] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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19
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Ramisetty KA, Pandit AB, Gogate PR. Ultrasound-Assisted Antisolvent Crystallization of Benzoic Acid: Effect of Process Variables Supported by Theoretical Simulations. Ind Eng Chem Res 2013. [DOI: 10.1021/ie402203k] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Kiran A. Ramisetty
- Chemical
Engineering Department, Institute of Chemical Technology, Mumbai 40019, India
| | - Aniruddha B. Pandit
- Chemical
Engineering Department, Institute of Chemical Technology, Mumbai 40019, India
| | - Parag R. Gogate
- Chemical
Engineering Department, Institute of Chemical Technology, Mumbai 40019, India
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20
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Brown CJ, Ni XW. Determination of metastable zone width, mean particle size and detectable number density using video imaging in an oscillatory baffled crystallizer. CrystEngComm 2012. [DOI: 10.1039/c2ce06628a] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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21
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Machado MB, Nunhez JR, Nobes D, Kresta SM. Impeller characterization and selection: Balancing efficient hydrodynamics with process mixing requirements. AIChE J 2011. [DOI: 10.1002/aic.12758] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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