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Received March 28, 2016
Accepted May 2, 2016
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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
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Modeling and simulation of Bacillus cereus chitosanase activity during purification using expanded bed chromatography
Carlos Eduardo de Araújo Padilha
Nathália Kelly de Araújo
Domingos Fabiano de Santana Souza
Jackson Araújo de Oliveira
Gorete Ribeiro de Macedo
and Everaldo Silvino dos Santos†
Biochemical Engineering Laboratory, Chemical Engineering Department, Federal University of Rio Grande do Norte (UFRN), Natal-RN, Brazil
everaldo@eq.ufrn.br
Korean Journal of Chemical Engineering, September 2016, 33(9), 2650-2658(9), 10.1007/s11814-016-0127-1
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Abstract
A phenomenological model was used to describe sequentially the three steps (flowthrough, washing and elution) of expanded bed adsorption chromatography for recovery of chitosanases from Bacillus cereus. Additionally, a hybrid strategy for model parameter estimation was carried out using particle swarm optimization and Gauss-Newton algorithms. The model was validated with independent experimental data and the statistical criteria (χ2 and mean squared error tests) showed that the hybrid strategy was more promising than just the heuristic method. With the calibrated model, surface response methodology was applied to obtain the optimal operational conditions, and experiments were performed to confirm these results. Overall, a value of 41.08% for yield was obtained using 700mM NaCl during elution. In summary, all approach employed in this work was relevant for maximizing the yield of the chromatographic process.
Keywords
References
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Li P, Xiu GH, Rodrigues AE, AIChE J., 51(11), 2965 (2005)
Yun J, Lin DQ, Yao SJ, J. Chromatogr. A, 1095, 16 (2005)
Padilha CEA, Souza DFS, Oliveira JA, Macedo GR, Santos ES, Current Chromatogr., 3, 44 (2016)
Chen WD, Dong XY, Sun Y, J. Chromatogr. A, 1012, 1 (2003)
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Antia FD, Horvath C, J. Chromatogr. A, 484, 1 (1989)
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Assis CC, Araujo NK, Pagnoncelli MGB, Pedrini MRS, Macedo GR, Santos ES, Bioprocess. Biosyst. Eng., 33, 893 (2010)
Santana SCD, Filho RCDS, Cavalcanti JDS, Oliveira JAD, Macedo GRD, Padilha FF, Santos ESD, Korean J. Chem. Eng., 31(4), 684 (2014)
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Li P, Xiu GH, Rodrigues AE, AIChE J., 51(11), 2965 (2005)
Moraes CC, Mazutti MA, Rodrigues MI, Filho FM, Kalil SJ, J. Chromatogr. A, 1216, 4395 (2009)
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de Sousa FC, Padilha CED, Chiberio AS, Ribeiro VT, Martins DRA, de Oliveira JA, de Macedo GR, dos Santos ES, Sep. Purif. Technol., 164, 34 (2016)
Davis ME, Numerical Methods and Modeling for Chemical Engineers, Wiley, New York (1984).
Petzold LR, DASSL code, version 1989, Computing and Mathematics Research Division, Lawrence Livermore National Laboratory, L316, PO Box 808, Livermore, CA 94559 (1989).
Giordano PC, Beccaria AJ, Goicoechea HC, Olivieri AC, Biochem. Eng. J., 80, 1 (2013)
Brun R, Reichert P, Kunsch HR, Water Resour. Res., 37, 1015 (2001)
Prunescu RM, Sin G, Bioresour. Technol., 150, 393 (2013)
