Please use this identifier to cite or link to this item: https://repositorio.ufrn.br/handle/123456789/32529
Title: Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography
Authors: Santos, Everaldo Silvino dos
Santana, Sergio Carvalho de
Silva Filho, Raimundo Cosme da
Cavalcanti, Jorge dos Santos
Oliveira, Jackson Araujo de
Macedo, Gorete Ribeiro de
Padilha, Francine Ferreira
Keywords: Modeling;Expanded Bed Adsorption;Purification;Chitosanase;Metarhizium anisopliae
Issue Date: 17-Feb-2014
Publisher: Springer Nature Switzerland
Citation: Santana, S. C. ; SILVA FILHO, R. C. ; CAVALCANTI, J. S. ; OLIVEIRA, J. A. ; Macedo, Gorete R. ; Padilha, F. F ; SANTOS, E. S. . Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography. Korean Journal of Chemical Engineering (Print), v. 31, p. 684-691, 2014. Disponível em: https://link.springer.com/article/10.1007%2Fs11814-013-0269-3 Acesso em: 06 abr. 2021. https://doi.org/10.1007/s11814-013-0269-3
Portuguese Abstract: A mathematical model was developed to predict breakthrough curves during purification of the two chitosan- ases from Metarhizium anisopliae by expanded bed adsorption, taking into account the axial dispersion of liquid and using Streamline DEAE and SP XL adsorbents, anion and cation exchange resins, respectively. All the experiments were performed without clarification (with cells) aiming at the reduction of unit operations in future projects of separation processes, thereby reducing capital and operating costs. Chitosanases are enzymes that hydrolyze the carbohydrate chitosan, resulting in oligosaccharides that have many remarkable biological activities, such as anti-cancer, anti-HIV and antioxidant activities. The two adsorbents had similar performance in relation to hydrodynamics and mass transfer. The results of the parametric sensitivity analysis agree with the literature, and the model was validated with an average high degree of fit (94.68%) between simulated and experimental data obtained in this work
URI: https://repositorio.ufrn.br/handle/123456789/32529
ISSN: 0256-1115
1975-7220
Appears in Collections:CT - DEQ - Artigos publicados em periódicos
EAJ - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
ModelingSimulationBreakthrough_Santos_2014 (1).pdf354,95 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons