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Chen G, Lu Y, Yang X, Wang R, Fane AG. Quantitative Study on Crystallization-Induced Scaling in High-Concentration Direct-Contact Membrane Distillation. Ind Eng Chem Res 2014. [DOI: 10.1021/ie501610q] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Guizi Chen
- School
of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore
Membrane Technology Centre, Nanyang Environment and Water Research
Institute, Nanyang Technological University, 1 Cleantech Loop, Singapore 637141, Singapore
| | - Yinghong Lu
- School
of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore
Membrane Technology Centre, Nanyang Environment and Water Research
Institute, Nanyang Technological University, 1 Cleantech Loop, Singapore 637141, Singapore
| | - Xing Yang
- Singapore
Membrane Technology Centre, Nanyang Environment and Water Research
Institute, Nanyang Technological University, 1 Cleantech Loop, Singapore 637141, Singapore
- Victoria University, Melbourne, Victoria 8001, Australia
| | - Rong Wang
- School
of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore
Membrane Technology Centre, Nanyang Environment and Water Research
Institute, Nanyang Technological University, 1 Cleantech Loop, Singapore 637141, Singapore
| | - Anthony G. Fane
- School
of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore
Membrane Technology Centre, Nanyang Environment and Water Research
Institute, Nanyang Technological University, 1 Cleantech Loop, Singapore 637141, Singapore
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Abstract
Population balance modeling is undergoing phenomenal growth in its applications, and this growth is accompanied by multifarious reviews. This review aims to fortify the model's fundamental base, as well as point to a variety of new applications, including modeling of crystal morphology, cell growth and differentiation, gene regulatory processes, and transfer of drug resistance. This is accomplished by presenting the many faces of population balance equations that arise in the foregoing applications.
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Affiliation(s)
| | - Meenesh R. Singh
- School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California 94704
- Joint Center for Artificial Photosynthesis, Lawrence Berkeley National Laboratory, Berkeley, California 94720
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Lu Y, Wang X, Ching CB. Application of Preferential Crystallization for Different Types of Racemic Compounds. Ind Eng Chem Res 2009. [DOI: 10.1021/ie801344s] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yinghong Lu
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, and Division of Chemical and Biomolecular Engineering, School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
| | - Xiujuan Wang
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, and Division of Chemical and Biomolecular Engineering, School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
| | - Chi Bun Ching
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, and Division of Chemical and Biomolecular Engineering, School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
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Schroer JW, Ng KM. Process Paths of Kinetically Controlled Crystallization: Enantiomers and Polymorphs. Ind Eng Chem Res 2003. [DOI: 10.1021/ie020722u] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Joseph W. Schroer
- Department of Chemical Engineering, University of Massachusetts, Amherst, Massachusetts 01003
| | - Ka M. Ng
- Department of Chemical Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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Jacobsen C, Garside J, Hoare M. Nucleation and growth of microbial lipase crystals from clarified concentrated fermentation broths. Biotechnol Bioeng 1998; 57:666-75. [PMID: 10099246 DOI: 10.1002/(sici)1097-0290(19980320)57:6<666::aid-bit4>3.0.co;2-j] [Citation(s) in RCA: 54] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Bulk crystallization is emerging as a new industrial operation for protein recovery. Characterization of bulk protein crystallization is more complex than protein crystallization for structural study where single crystals are grown in flow cells. This is because both nucleation and crystal growth processes are taking place while the supersaturation falls. An algorithm is presented to characterize crystallization using the rates of the two kinetic processes, nucleation and growth. The values of these rates allow ready comparison of the crystallization process under different operating conditions. The crystallization, via adjustment to the isoelectric pH of a fungal lipase from clarified fermentation broth, is described for a batch stirred reactor. A maximum nucleation rate of five to six crystals formed per microliter of suspension per second and a high power dependency ( approximately 11) on the degree of supersaturation were found. The suspended protein crystals were found to grow at a rate of up to 15-20 nm/s and also to exhibit a high power dependency ( approximately 6) of growth rate on the degree of supersaturation.
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Affiliation(s)
- C Jacobsen
- The Advanced Centre for Biochemical Engineering, Department of Chemical and Biochemical Engineering, University College London, Torrington Place, London, WC1E 7JE United Kingdom
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