Effects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acid
BACKGROUND Currently, the criteria for selection of gene targets in strains oriented to fermentation-based bioprocesses development have been largely based on the bioproduct yield, concentration or productivity. Nevertheless the concentration and purification of the product of interest strongly infl...
- Autores:
-
Tafur Rangel, Albert Enrique
Camelo Valera, Laura Carolina
Gómez Ramírez, Jorge Mario
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/35053
- Acceso en línea:
- http://hdl.handle.net/1992/35053
- Palabra clave:
- Ingeniería metabólica - Investigaciones
Acido succínico - Productividad - Investigaciones
Escherichia coli - Investigaciones
Biología
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-sa/4.0/
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dc.title.es_CO.fl_str_mv |
Effects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acid |
title |
Effects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acid |
spellingShingle |
Effects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acid Ingeniería metabólica - Investigaciones Acido succínico - Productividad - Investigaciones Escherichia coli - Investigaciones Biología |
title_short |
Effects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acid |
title_full |
Effects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acid |
title_fullStr |
Effects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acid |
title_full_unstemmed |
Effects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acid |
title_sort |
Effects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acid |
dc.creator.fl_str_mv |
Tafur Rangel, Albert Enrique Camelo Valera, Laura Carolina Gómez Ramírez, Jorge Mario |
dc.contributor.advisor.none.fl_str_mv |
González Barrios, Andrés Fernando |
dc.contributor.author.none.fl_str_mv |
Tafur Rangel, Albert Enrique Camelo Valera, Laura Carolina Gómez Ramírez, Jorge Mario |
dc.subject.keyword.es_CO.fl_str_mv |
Ingeniería metabólica - Investigaciones Acido succínico - Productividad - Investigaciones Escherichia coli - Investigaciones |
topic |
Ingeniería metabólica - Investigaciones Acido succínico - Productividad - Investigaciones Escherichia coli - Investigaciones Biología |
dc.subject.themes.none.fl_str_mv |
Biología |
description |
BACKGROUND Currently, the criteria for selection of gene targets in strains oriented to fermentation-based bioprocesses development have been largely based on the bioproduct yield, concentration or productivity. Nevertheless the concentration and purification of the product of interest strongly influences the final production cost. Then, a metabolic engineering-downstream coupling evaluation would be central when selecting the metabolic pathways candidates in the strain. Here, we evaluated the effects of the metabolic engineering an Escherichia coli strain in a succinic acid (SA) fermentation process using glycerol on the downstream process in terms of operational cost and energy consumption. RESULTS Three strain scenarios were selected using a bi-level linear optimization problem solved by MILP, and simulated in a transient fashion with dynamic flow balance analysis considering both biomass and SA productivity. Our results show that the succinic acid productivity constitutes a central parameter when selecting the appropriate gene targets for deletion nonetheless the presence of organic acids in the downstream... |
publishDate |
2017 |
dc.date.issued.none.fl_str_mv |
2017 |
dc.date.accessioned.none.fl_str_mv |
2020-06-10T09:32:48Z |
dc.date.available.none.fl_str_mv |
2020-06-10T09:32:48Z |
dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
dc.type.content.spa.fl_str_mv |
Text |
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http://purl.org/redcol/resource_type/TM |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/1992/35053 |
dc.identifier.pdf.none.fl_str_mv |
u806791.pdf |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad de los Andes |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Séneca |
dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
url |
http://hdl.handle.net/1992/35053 |
identifier_str_mv |
u806791.pdf instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
dc.language.iso.es_CO.fl_str_mv |
eng |
language |
eng |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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info:eu-repo/semantics/openAccess |
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http://purl.org/coar/access_right/c_abf2 |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.es_CO.fl_str_mv |
24 hojas |
dc.format.mimetype.es_CO.fl_str_mv |
application/pdf |
dc.publisher.es_CO.fl_str_mv |
Uniandes |
dc.publisher.program.es_CO.fl_str_mv |
Maestría en Biología Computacional |
dc.publisher.faculty.es_CO.fl_str_mv |
Facultad de Ciencias |
dc.publisher.department.es_CO.fl_str_mv |
Departamento de Biología |
dc.source.es_CO.fl_str_mv |
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spelling |
Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2González Barrios, Andrés Fernandocc132031-adde-4342-ba8c-b406b8175e2b400Tafur Rangel, Albert Enrique29556500Camelo Valera, Laura Carolina8882bdfc-d7ea-498b-bc69-125f8fda5249500Gómez Ramírez, Jorge Mario85075002020-06-10T09:32:48Z2020-06-10T09:32:48Z2017http://hdl.handle.net/1992/35053u806791.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/BACKGROUND Currently, the criteria for selection of gene targets in strains oriented to fermentation-based bioprocesses development have been largely based on the bioproduct yield, concentration or productivity. Nevertheless the concentration and purification of the product of interest strongly influences the final production cost. Then, a metabolic engineering-downstream coupling evaluation would be central when selecting the metabolic pathways candidates in the strain. Here, we evaluated the effects of the metabolic engineering an Escherichia coli strain in a succinic acid (SA) fermentation process using glycerol on the downstream process in terms of operational cost and energy consumption. RESULTS Three strain scenarios were selected using a bi-level linear optimization problem solved by MILP, and simulated in a transient fashion with dynamic flow balance analysis considering both biomass and SA productivity. Our results show that the succinic acid productivity constitutes a central parameter when selecting the appropriate gene targets for deletion nonetheless the presence of organic acids in the downstream..."INTRODUCCION Actualmente, los criterios para la selección de blancos en ingeniería metabólica orientadas al desarrollo de bioprocesos basados en la fermentación se han basado en gran medida en el rendimiento, la concentración o la productividad del bioproducto. Sin embargo, la concentración y la purificación del producto de interés influye fuertemente en el costo de producción final. En este sentido, una evaluación acoplada de la ingeniería metabólica y el proceso de recuperación y purificación sería central para seleccionar las vías metabólicas candidatas en la cepa. En este estudio, evaluamos los efectos de la ingeniería metabólica de una cepa de Escherichia coli para obtener ácido succínico (SA) usando glicerol como fuente de carbono en el proceso de recuperación y purificación en términos de costo operacional y consumo de energía. RESULTADOS Se seleccionaron tres escenarios de ingeniera metabólica utilizando un problema de optimización lineal, resuelto por MILP. Luego se simularon de manera transitoria con un análisis de balance de flujo dinámico..."--Tomado del Formato de Documento de Grado.Magíster en Biología ComputacionalMaestría24 hojasapplication/pdfengUniandesMaestría en Biología ComputacionalFacultad de CienciasDepartamento de Biologíainstname:Universidad de los Andesreponame:Repositorio Institucional SénecaEffects of metabolic engineering on downstream processing operational cost and energy consumption : the case of Escherichia coli's glycerol conversion to succinic acidTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TMIngeniería metabólica - InvestigacionesAcido succínico - Productividad - InvestigacionesEscherichia coli - InvestigacionesBiologíaPublicationTHUMBNAILu806791.pdf.jpgu806791.pdf.jpgIM Thumbnailimage/jpeg18952https://repositorio.uniandes.edu.co/bitstreams/d9685486-50bb-4adb-8c2f-73219af0b929/download8ba97376cb3c36e1923cc51390a3c5c8MD55ORIGINALu806791.pdfapplication/pdf1079945https://repositorio.uniandes.edu.co/bitstreams/53cca98c-b8d9-4b3a-873c-a8a7a304f3b5/download74161d43f692332771bf033ea9bd3950MD51TEXTu806791.pdf.txtu806791.pdf.txtExtracted texttext/plain49850https://repositorio.uniandes.edu.co/bitstreams/f78a3d50-d3dd-4580-bb1a-35582adde48a/download4235dbdaa3be2b18269394ee11218a68MD541992/35053oai:repositorio.uniandes.edu.co:1992/350532023-10-10 17:40:09.592http://creativecommons.org/licenses/by-nc-sa/4.0/open.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co |