A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells

In this work, the fermentative and oxidative processes taking place in a microbial fuel cell (MFC) fed with glucose were studied and modeled. The model accounting for the bioelectrochemical processes was based on ordinary, Monod-type differential equations. The model parameters were estimated using...

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Autores: Fernández, María de los Angeles, Sanromán Braga, M. Ángeles, Marks, Stanisław, Makinia, Jacek, González del Campo García-Villarrubia, Araceli, Rodrigo Rodrigo, Manuel Andrés, Fernández Morales, Francisco Jesús
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/29428
Acceso en línea:https://doi.org/10.1016/j.biortech.2015.10.010
http://hdl.handle.net/10578/29428
Access Level:acceso abierto
Palabra clave:Microbial fuel cell
Glucose
Fermentation
Ethanol
Modeling
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repository_id_str
spelling A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cellsFernández, María de los AngelesSanromán Braga, M. ÁngelesMarks, StanisławMakinia, JacekGonzález del Campo García-Villarrubia, AraceliRodrigo Rodrigo, Manuel AndrésFernández Morales, Francisco JesúsMicrobial fuel cellGlucoseFermentationEthanolModelingIn this work, the fermentative and oxidative processes taking place in a microbial fuel cell (MFC) fed with glucose were studied and modeled. The model accounting for the bioelectrochemical processes was based on ordinary, Monod-type differential equations. The model parameters were estimated using experimental results obtained from three H-type MFCs operated at open or closed circuits and fed with glucose or ethanol. The experimental results demonstrate that similar fermentation processes were carried out under open and closed circuit operation, with the most important fermentation products being ethanol (with a yield of 1.81 mol mol−1 glucose) and lactic acid (with a yield of 1.36 mol mol−1 glucose). A peak in the electricity generation was obtained when glucose and fermentation products coexisted in the liquid bulk. However, almost 90% of the electricity produced came from the oxidation of ethanol.Elsevier202220222016info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://doi.org/10.1016/j.biortech.2015.10.010http://hdl.handle.net/10578/29428reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésMinisterio de Economía y Competitividad of the Spanish government through the project CTQ2013-49748-EXPinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/294282026-05-27T07:36:41Z
dc.title.none.fl_str_mv A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells
title A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells
spellingShingle A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells
Fernández, María de los Angeles
Microbial fuel cell
Glucose
Fermentation
Ethanol
Modeling
title_short A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells
title_full A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells
title_fullStr A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells
title_full_unstemmed A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells
title_sort A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells
dc.creator.none.fl_str_mv Fernández, María de los Angeles
Sanromán Braga, M. Ángeles
Marks, Stanisław
Makinia, Jacek
González del Campo García-Villarrubia, Araceli
Rodrigo Rodrigo, Manuel Andrés
Fernández Morales, Francisco Jesús
author Fernández, María de los Angeles
author_facet Fernández, María de los Angeles
Sanromán Braga, M. Ángeles
Marks, Stanisław
Makinia, Jacek
González del Campo García-Villarrubia, Araceli
Rodrigo Rodrigo, Manuel Andrés
Fernández Morales, Francisco Jesús
author_role author
author2 Sanromán Braga, M. Ángeles
Marks, Stanisław
Makinia, Jacek
González del Campo García-Villarrubia, Araceli
Rodrigo Rodrigo, Manuel Andrés
Fernández Morales, Francisco Jesús
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Microbial fuel cell
Glucose
Fermentation
Ethanol
Modeling
topic Microbial fuel cell
Glucose
Fermentation
Ethanol
Modeling
description In this work, the fermentative and oxidative processes taking place in a microbial fuel cell (MFC) fed with glucose were studied and modeled. The model accounting for the bioelectrochemical processes was based on ordinary, Monod-type differential equations. The model parameters were estimated using experimental results obtained from three H-type MFCs operated at open or closed circuits and fed with glucose or ethanol. The experimental results demonstrate that similar fermentation processes were carried out under open and closed circuit operation, with the most important fermentation products being ethanol (with a yield of 1.81 mol mol−1 glucose) and lactic acid (with a yield of 1.36 mol mol−1 glucose). A peak in the electricity generation was obtained when glucose and fermentation products coexisted in the liquid bulk. However, almost 90% of the electricity produced came from the oxidation of ethanol.
publishDate 2016
dc.date.none.fl_str_mv 2016
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.biortech.2015.10.010
http://hdl.handle.net/10578/29428
url https://doi.org/10.1016/j.biortech.2015.10.010
http://hdl.handle.net/10578/29428
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad of the Spanish government through the project CTQ2013-49748-EXP
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869424955648638976
score 15.300719

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