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Fellechner O, Smirnova I. Process design of a continuous biotransformation with in situ product removal by cloud point extraction. CAN J CHEM ENG 2021. [DOI: 10.1002/cjce.23967] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Oliver Fellechner
- Institute of Thermal Separation Processes Hamburg University of Technology Hamburg Germany
| | - Irina Smirnova
- Institute of Thermal Separation Processes Hamburg University of Technology Hamburg Germany
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RadhaK V, Lavanya R. Kinetic model for substrate utilization and antibiotic production using immobilized penicillin G acylase. J Biotechnol 2008. [DOI: 10.1016/j.jbiotec.2008.07.1151] [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]
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Wang Z, Xu JH, Wang L, Bao D, Qi H. Thermodynamic Equilibrium Control of the Enzymatic Hydrolysis of Penicillin G in a Cloud Point System without pH Control. Ind Eng Chem Res 2006. [DOI: 10.1021/ie060418r] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Zhilong Wang
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, P. R. China, Laboratory of Biocatalysis and Bioprocessing, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, P.R. China, Shanghai Highly Integrated Bioprocess Science and Technology Co, Shanghai 200238, P.R. China, and Institute of Biotechnology, Shanghai Jiao Tong University, Shanghai 201101, P.R. China
| | - Jian-He Xu
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, P. R. China, Laboratory of Biocatalysis and Bioprocessing, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, P.R. China, Shanghai Highly Integrated Bioprocess Science and Technology Co, Shanghai 200238, P.R. China, and Institute of Biotechnology, Shanghai Jiao Tong University, Shanghai 201101, P.R. China
| | - Li Wang
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, P. R. China, Laboratory of Biocatalysis and Bioprocessing, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, P.R. China, Shanghai Highly Integrated Bioprocess Science and Technology Co, Shanghai 200238, P.R. China, and Institute of Biotechnology, Shanghai Jiao Tong University, Shanghai 201101, P.R. China
| | - Da Bao
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, P. R. China, Laboratory of Biocatalysis and Bioprocessing, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, P.R. China, Shanghai Highly Integrated Bioprocess Science and Technology Co, Shanghai 200238, P.R. China, and Institute of Biotechnology, Shanghai Jiao Tong University, Shanghai 201101, P.R. China
| | - Hanshi Qi
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, P. R. China, Laboratory of Biocatalysis and Bioprocessing, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, P.R. China, Shanghai Highly Integrated Bioprocess Science and Technology Co, Shanghai 200238, P.R. China, and Institute of Biotechnology, Shanghai Jiao Tong University, Shanghai 201101, P.R. China
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Van Can HJL, Te Braake HAB, Dubbelman S, Hellinga C, Luyben KCAM, Heijnen JJ. Understanding and applying the extrapolation properties of serial gray-box models. AIChE J 2006. [DOI: 10.1002/aic.690440507] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Bijman A, Hellinga C, Luyben KC, Heijnen JJ. An efficient model development strategy for bioprocesses based on neural networks in macroscopic balances: Part II. Biotechnol Bioeng 1999; 62:666-680. [PMID: 10099573 DOI: 10.1002/(sici)1097-0290(19990320)62:6<666::aid-bit6>3.0.co;2-s] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
There is a need for efficient modeling strategies which quickly lead to reliable mathematical models that can be applied for design and optimization of (bio)-chemical processes. The serial gray box modeling strategy is potentially very efficient because no detailed knowledge is needed to construct the white box part of the model and because covenient black box modeling techniques like neural networks can be used for the black box part of the model. This paper shows for a typical biochemical conversion how the serial gray box modeling strategy can be applied efficiently to obtain a model with good frequency extrapolation properties. Models with good frequency extrapolation properties can be applied under dynamic conditions that were not present during the identification experiments. For a given application domain of a model, this property can be used to considerably reduce the number of identification experiments. The serial gray box modeling strategy is demonstrated to be successful for the modeling of the enzymatic conversion of penicillin G In the concentration range of 10-100 mM and temperature range of 298-335 K. Frequency extrapolation is shown by using only constant temperatures in the (batch) identification experiments, while the model can be used reliable with varying temperatures during the (batch) validation experiments. No reliable frequency extrapolation properties could be obtained for a black box model, and for a more knowledge-driven white box model reliable frequency extrapolation properties could only be obtained by incorporating more knowledge in the model. Copyright 1999 John Wiley & Sons, Inc.
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