Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/32529 |
Resumo: | 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 |
id |
UFRN_136c8811d70a0bf82423f7990b3ae62c |
---|---|
oai_identifier_str |
oai:https://repositorio.ufrn.br:123456789/32529 |
network_acronym_str |
UFRN |
network_name_str |
Repositório Institucional da UFRN |
repository_id_str |
|
spelling |
Santos, Everaldo Silvino dosSantana, Sergio Carvalho deSilva Filho, Raimundo Cosme daCavalcanti, Jorge dos SantosOliveira, Jackson Araujo deMacedo, Gorete Ribeiro dePadilha, Francine Ferreira2021-05-17T13:24:31Z2021-05-17T13:24:31Z2014-02-17Santana, 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/s11814-013-0269-30256-11151975-7220https://repositorio.ufrn.br/handle/123456789/3252910.1007/s11814-013-0269-3Springer Nature SwitzerlandAttribution-NonCommercial 3.0 Brazilhttp://creativecommons.org/licenses/by-nc/3.0/br/info:eu-repo/semantics/openAccessModelingExpanded Bed AdsorptionPurificationChitosanaseMetarhizium anisopliaeModeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatographyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleA 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 workengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8920https://repositorio.ufrn.br/bitstream/123456789/32529/2/license_rdf728dfda2fa81b274c619d08d1dfc1a03MD52ORIGINALModelingSimulationBreakthrough_Santos_2014 (1).pdfModelingSimulationBreakthrough_Santos_2014 (1).pdfapplication/pdf363473https://repositorio.ufrn.br/bitstream/123456789/32529/1/ModelingSimulationBreakthrough_Santos_2014%20%281%29.pdf855501a1a3dbf38ae3b65ae6fdc110a2MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/32529/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53123456789/325292021-05-17 10:24:33.499oai:https://repositorio.ufrn.br:123456789/32529Tk9OLUVYQ0xVU0lWRSBESVNUUklCVVRJT04gTElDRU5TRQoKCkJ5IHNpZ25pbmcgYW5kIGRlbGl2ZXJpbmcgdGhpcyBsaWNlbnNlLCBNci4gKGF1dGhvciBvciBjb3B5cmlnaHQgaG9sZGVyKToKCgphKSBHcmFudHMgdGhlIFVuaXZlcnNpZGFkZSBGZWRlcmFsIFJpbyBHcmFuZGUgZG8gTm9ydGUgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgb2YKcmVwcm9kdWNlLCBjb252ZXJ0IChhcyBkZWZpbmVkIGJlbG93KSwgY29tbXVuaWNhdGUgYW5kIC8gb3IKZGlzdHJpYnV0ZSB0aGUgZGVsaXZlcmVkIGRvY3VtZW50IChpbmNsdWRpbmcgYWJzdHJhY3QgLyBhYnN0cmFjdCkgaW4KZGlnaXRhbCBvciBwcmludGVkIGZvcm1hdCBhbmQgaW4gYW55IG1lZGl1bS4KCmIpIERlY2xhcmVzIHRoYXQgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBpdHMgb3JpZ2luYWwgd29yaywgYW5kIHRoYXQKeW91IGhhdmUgdGhlIHJpZ2h0IHRvIGdyYW50IHRoZSByaWdodHMgY29udGFpbmVkIGluIHRoaXMgbGljZW5zZS4gRGVjbGFyZXMKdGhhdCB0aGUgZGVsaXZlcnkgb2YgdGhlIGRvY3VtZW50IGRvZXMgbm90IGluZnJpbmdlLCBhcyBmYXIgYXMgaXQgaXMKdGhlIHJpZ2h0cyBvZiBhbnkgb3RoZXIgcGVyc29uIG9yIGVudGl0eS4KCmMpIElmIHRoZSBkb2N1bWVudCBkZWxpdmVyZWQgY29udGFpbnMgbWF0ZXJpYWwgd2hpY2ggZG9lcyBub3QKcmlnaHRzLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBvYnRhaW5lZCBhdXRob3JpemF0aW9uIGZyb20gdGhlIGhvbGRlciBvZiB0aGUKY29weXJpZ2h0IHRvIGdyYW50IHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdCB0aGlzIG1hdGVyaWFsIHdob3NlIHJpZ2h0cyBhcmUgb2YKdGhpcmQgcGFydGllcyBpcyBjbGVhcmx5IGlkZW50aWZpZWQgYW5kIHJlY29nbml6ZWQgaW4gdGhlIHRleHQgb3IKY29udGVudCBvZiB0aGUgZG9jdW1lbnQgZGVsaXZlcmVkLgoKSWYgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBiYXNlZCBvbiBmdW5kZWQgb3Igc3VwcG9ydGVkIHdvcmsKYnkgYW5vdGhlciBpbnN0aXR1dGlvbiBvdGhlciB0aGFuIHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBmdWxmaWxsZWQgYW55IG9ibGlnYXRpb25zIHJlcXVpcmVkIGJ5IHRoZSByZXNwZWN0aXZlIGFncmVlbWVudCBvciBhZ3JlZW1lbnQuCgpUaGUgVW5pdmVyc2lkYWRlIEZlZGVyYWwgZG8gUmlvIEdyYW5kZSBkbyBOb3J0ZSB3aWxsIGNsZWFybHkgaWRlbnRpZnkgaXRzIG5hbWUgKHMpIGFzIHRoZSBhdXRob3IgKHMpIG9yIGhvbGRlciAocykgb2YgdGhlIGRvY3VtZW50J3MgcmlnaHRzCmRlbGl2ZXJlZCwgYW5kIHdpbGwgbm90IG1ha2UgYW55IGNoYW5nZXMsIG90aGVyIHRoYW4gdGhvc2UgcGVybWl0dGVkIGJ5CnRoaXMgbGljZW5zZQo=Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-05-17T13:24:33Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography |
title |
Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography |
spellingShingle |
Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography Santos, Everaldo Silvino dos Modeling Expanded Bed Adsorption Purification Chitosanase Metarhizium anisopliae |
title_short |
Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography |
title_full |
Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography |
title_fullStr |
Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography |
title_full_unstemmed |
Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography |
title_sort |
Modeling and simulation of breakthrough curves during purification of two chitosanases from Metarhizium anisopliae using ion-exchange with expanded bed adsorption chromatography |
author |
Santos, Everaldo Silvino dos |
author_facet |
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 |
author_role |
author |
author2 |
Santana, Sergio Carvalho de Silva Filho, Raimundo Cosme da Cavalcanti, Jorge dos Santos Oliveira, Jackson Araujo de Macedo, Gorete Ribeiro de Padilha, Francine Ferreira |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
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 |
dc.subject.por.fl_str_mv |
Modeling Expanded Bed Adsorption Purification Chitosanase Metarhizium anisopliae |
topic |
Modeling Expanded Bed Adsorption Purification Chitosanase Metarhizium anisopliae |
description |
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 |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014-02-17 |
dc.date.accessioned.fl_str_mv |
2021-05-17T13:24:31Z |
dc.date.available.fl_str_mv |
2021-05-17T13:24:31Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
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 |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/32529 |
dc.identifier.issn.none.fl_str_mv |
0256-1115 1975-7220 |
dc.identifier.doi.none.fl_str_mv |
10.1007/s11814-013-0269-3 |
identifier_str_mv |
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 0256-1115 1975-7220 10.1007/s11814-013-0269-3 |
url |
https://repositorio.ufrn.br/handle/123456789/32529 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial 3.0 Brazil http://creativecommons.org/licenses/by-nc/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial 3.0 Brazil http://creativecommons.org/licenses/by-nc/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Springer Nature Switzerland |
publisher.none.fl_str_mv |
Springer Nature Switzerland |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
instname_str |
Universidade Federal do Rio Grande do Norte (UFRN) |
instacron_str |
UFRN |
institution |
UFRN |
reponame_str |
Repositório Institucional da UFRN |
collection |
Repositório Institucional da UFRN |
bitstream.url.fl_str_mv |
https://repositorio.ufrn.br/bitstream/123456789/32529/2/license_rdf https://repositorio.ufrn.br/bitstream/123456789/32529/1/ModelingSimulationBreakthrough_Santos_2014%20%281%29.pdf https://repositorio.ufrn.br/bitstream/123456789/32529/3/license.txt |
bitstream.checksum.fl_str_mv |
728dfda2fa81b274c619d08d1dfc1a03 855501a1a3dbf38ae3b65ae6fdc110a2 e9597aa2854d128fd968be5edc8a28d9 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN) |
repository.mail.fl_str_mv |
|
_version_ |
1802117890325872640 |