Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.cej.2018.12.169 http://hdl.handle.net/11449/190004 |
Resumo: | Mathematical models can be useful to predict the behavior of particulate systems, as it is the case of packed-bed bioreactors (PBBs) used for solid-state fermentation (SSF). The models also simplify the processes scale-up, and depending on the accuracy of the model, critical parameters can be predicted, as temperature, moisture content and maximum bed height. In the current paper, mathematical models and simulations were used to predict the optimal conditions for enzymes production by means of SSF in PBBs. Two models available in literature were applied: a recently proposed two-phase and two-dimensional (2-D) model and a modified Damköhler number (Dam) approach, considering maximum temperatures of the bed and maximum bed height to allow good production of enzymatic activities by the fungus Myceliophtora thermophila I-1D3b. Based on simulation results, experiments in bench and pilot-scale PBBs were performed and analyzed. By comparing experimental and simulated results of temperatures, the 2-D model showed to be more accurate than Dam approach. Despite of the temperature increase in pilot-scale PBB, the bioreactor scale-up with the fungus M. thermophila in substrate composed of sugarcane bagasse (SCB) and wheat bran (WB) (weight proportion 7:3) could be considered as feasible for cellulolytic and xylanolytic enzymes provision, for instance, for second generation ethanol production chain, although issues related to airflow distribution and substrate shrinkage in pilot-scale PBB must still be further overcome. |
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Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungusBioethanolBioreactorMathematical modellingScale-upSolid-state fermentationMathematical models can be useful to predict the behavior of particulate systems, as it is the case of packed-bed bioreactors (PBBs) used for solid-state fermentation (SSF). The models also simplify the processes scale-up, and depending on the accuracy of the model, critical parameters can be predicted, as temperature, moisture content and maximum bed height. In the current paper, mathematical models and simulations were used to predict the optimal conditions for enzymes production by means of SSF in PBBs. Two models available in literature were applied: a recently proposed two-phase and two-dimensional (2-D) model and a modified Damköhler number (Dam) approach, considering maximum temperatures of the bed and maximum bed height to allow good production of enzymatic activities by the fungus Myceliophtora thermophila I-1D3b. Based on simulation results, experiments in bench and pilot-scale PBBs were performed and analyzed. By comparing experimental and simulated results of temperatures, the 2-D model showed to be more accurate than Dam approach. Despite of the temperature increase in pilot-scale PBB, the bioreactor scale-up with the fungus M. thermophila in substrate composed of sugarcane bagasse (SCB) and wheat bran (WB) (weight proportion 7:3) could be considered as feasible for cellulolytic and xylanolytic enzymes provision, for instance, for second generation ethanol production chain, although issues related to airflow distribution and substrate shrinkage in pilot-scale PBB must still be further overcome.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Food Engineering and Technology Department Institute of Biosciences Letters and Exact Sciences São Paulo State University (UNESP), Cristóvão Colombo 2265, Jardim NazarethChemical Engineering Department Federal University of São Carlos (UFSCar), Rod. Washington Luís km 235 – SP-310Food Engineering and Technology Department Institute of Biosciences Letters and Exact Sciences São Paulo State University (UNESP), Cristóvão Colombo 2265, Jardim NazarethFAPESP: 2014/23453-3Universidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)Perez, Caroline Lopes [UNESP]Casciatori, Fernanda PerpétuaThoméo, João Cláudio [UNESP]2019-10-06T16:59:11Z2019-10-06T16:59:11Z2019-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1142-1151http://dx.doi.org/10.1016/j.cej.2018.12.169Chemical Engineering Journal, v. 361, p. 1142-1151.1385-8947http://hdl.handle.net/11449/19000410.1016/j.cej.2018.12.1692-s2.0-85059464261Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengChemical Engineering Journalinfo:eu-repo/semantics/openAccess2021-10-23T01:35:51Zoai:repositorio.unesp.br:11449/190004Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T01:35:51Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus |
title |
Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus |
spellingShingle |
Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus Perez, Caroline Lopes [UNESP] Bioethanol Bioreactor Mathematical modelling Scale-up Solid-state fermentation |
title_short |
Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus |
title_full |
Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus |
title_fullStr |
Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus |
title_full_unstemmed |
Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus |
title_sort |
Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus |
author |
Perez, Caroline Lopes [UNESP] |
author_facet |
Perez, Caroline Lopes [UNESP] Casciatori, Fernanda Perpétua Thoméo, João Cláudio [UNESP] |
author_role |
author |
author2 |
Casciatori, Fernanda Perpétua Thoméo, João Cláudio [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal de São Carlos (UFSCar) |
dc.contributor.author.fl_str_mv |
Perez, Caroline Lopes [UNESP] Casciatori, Fernanda Perpétua Thoméo, João Cláudio [UNESP] |
dc.subject.por.fl_str_mv |
Bioethanol Bioreactor Mathematical modelling Scale-up Solid-state fermentation |
topic |
Bioethanol Bioreactor Mathematical modelling Scale-up Solid-state fermentation |
description |
Mathematical models can be useful to predict the behavior of particulate systems, as it is the case of packed-bed bioreactors (PBBs) used for solid-state fermentation (SSF). The models also simplify the processes scale-up, and depending on the accuracy of the model, critical parameters can be predicted, as temperature, moisture content and maximum bed height. In the current paper, mathematical models and simulations were used to predict the optimal conditions for enzymes production by means of SSF in PBBs. Two models available in literature were applied: a recently proposed two-phase and two-dimensional (2-D) model and a modified Damköhler number (Dam) approach, considering maximum temperatures of the bed and maximum bed height to allow good production of enzymatic activities by the fungus Myceliophtora thermophila I-1D3b. Based on simulation results, experiments in bench and pilot-scale PBBs were performed and analyzed. By comparing experimental and simulated results of temperatures, the 2-D model showed to be more accurate than Dam approach. Despite of the temperature increase in pilot-scale PBB, the bioreactor scale-up with the fungus M. thermophila in substrate composed of sugarcane bagasse (SCB) and wheat bran (WB) (weight proportion 7:3) could be considered as feasible for cellulolytic and xylanolytic enzymes provision, for instance, for second generation ethanol production chain, although issues related to airflow distribution and substrate shrinkage in pilot-scale PBB must still be further overcome. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T16:59:11Z 2019-10-06T16:59:11Z 2019-04-01 |
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.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.cej.2018.12.169 Chemical Engineering Journal, v. 361, p. 1142-1151. 1385-8947 http://hdl.handle.net/11449/190004 10.1016/j.cej.2018.12.169 2-s2.0-85059464261 |
url |
http://dx.doi.org/10.1016/j.cej.2018.12.169 http://hdl.handle.net/11449/190004 |
identifier_str_mv |
Chemical Engineering Journal, v. 361, p. 1142-1151. 1385-8947 10.1016/j.cej.2018.12.169 2-s2.0-85059464261 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Chemical Engineering Journal |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1142-1151 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1803047229866377216 |