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- In relation to this article, we declare that there is no conflict of interest.
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Received March 8, 2016
Accepted August 29, 2016
- This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Modelling batch bioreactions with continuous process simulators
Industrial Information & Control Centre (I2C2), Chemical and Materials Engineering Department, The University of Auckland, New Zealand
tajammal.munir@auckland.ac.nz
Korean Journal of Chemical Engineering, December 2016, 33(12), 3343-3349(7), 10.1007/s11814-016-0244-x
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Abstract
Process models are increasingly becoming necessary for process understanding and optimizing. However, in the field of bioprocessing, modelling using a generic process simulator suffers from shortcomings given that many simulators cannot model batch mode bioreactors with varying reaction rates based on microbial metabolism. Bioprocesses, mostly batch, are difficult to model because most of the available unit operations in process simulators operate continuously. Our aim is to provide a general simulation platform to model these batch bioprocesses in commercial process simulators and explain how to transform batch processes with varying reaction rate into continuous unit operations for simulation purposes. Two typical fermentation processes, lactose fermentation and glucose/xylose co-fermentation, were simulated in steady state as case studies. The results are discussed as examples using the proposed approach. The potential of how to extend the simulation platform is also explained in detail.
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Qiu QF, Rangaiah GP, Krishnaswamy PR, Comput. Chem. Eng., 27(1), 73 (2003)
Arthur CJ, Munir MT, Young BR, Yu W, Fuel, 115, 479 (2014)
Munir MT, Yu W, Young BR, Can. J. Chem. Eng., 91(10), 1686 (2013)
Munir MT, Zhang Y, Yu W, Wilson DI, Young BR, J. Dairy Sci., 99, 3380 (2016)
Zhang Y, Munir MT, Yu W, Young BR, J. Food Eng., 121, 87 (2014)
Kougoulos E, Jones A, Wood-Kaczmar M, Org. Process Res. Dev., 10, 739 (2006)
Harrison RG, Todd P, Petrides DP, Rudge SR, Bioseparations science and engineering, Oxford University Press, U.S.A. (2015).
Munir MT, Yu W, Young BR, Wilson DI, Trends Food Sci. Technol., 43, 205 (2015)
Shanklin T, Roper K, Yegneswaran PK, Marten MR, Biotechnol. Bioeng., 72(4), 483 (2001)
Munir MT, Yu W, Young BR, ISA Trans., 51, 827 (2012)
Clarkson A, Bulmer M, Titchener-Hooker N, Bioprocess Eng., 14, 81 (1996)
Petrides DP, Comput. Chem. Eng., 18, S621 (1994)
Zhou Y, Holwill I, Titchener-Hooker N, Bioprocess Eng., 16, 367 (1997)
Munir MT, Yu W, Young BR, Plantwide control: Recent developments and applications, 830447157 (2012).
Munir MT, Yu W, Young BP, Korean J. Chem. Eng., 30(5), 997 (2013)
Munir MT, Yu W, Young BR, Chem. Eng. Res. Des., 90(1A), 110 (2012)
Boonmee M, Leksawasdi N, Bridge W, Rogers PL, Biochem. Eng. J., 14, 127 (2003)
Lau MW, Gunawan C, Balan V, Dale BE, Biotechnol. Biofuels, 3, 1 (2010)