A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae cultures
Autor(a) principal: | |
---|---|
Data de Publicação: | 2010 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Chemical Engineering |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000300003 |
Resumo: | The purpose of this paper is to report on the development of a procedure for inferring black-box, yet biologically interpretable, dynamic models of bioprocesses based on sets of measurements of a few external components (biomass, substrates, and products of interest). The procedure has three main steps: (a) the determination of the number of macroscopic biological reactions linking the measured components; (b) the estimation of a first reaction scheme, which has interesting mathematical properties, but might lack a biological interpretation; and (c) the "projection" (or transformation) of this reaction scheme onto a biologically-consistent scheme. The advantage of the method is that it allows the fast prototyping of models for the culture of microorganisms that are not well documented. The good performance of the third step of the method is demonstrated by application to an example of microalgal culture. |
id |
ABEQ-1_14b74fda40d077fe0b37abd148ed45b4 |
---|---|
oai_identifier_str |
oai:scielo:S0104-66322010000300003 |
network_acronym_str |
ABEQ-1 |
network_name_str |
Brazilian Journal of Chemical Engineering |
repository_id_str |
|
spelling |
A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae culturesReaction networksMathematical modelingParameter estimationBioprocessesThe purpose of this paper is to report on the development of a procedure for inferring black-box, yet biologically interpretable, dynamic models of bioprocesses based on sets of measurements of a few external components (biomass, substrates, and products of interest). The procedure has three main steps: (a) the determination of the number of macroscopic biological reactions linking the measured components; (b) the estimation of a first reaction scheme, which has interesting mathematical properties, but might lack a biological interpretation; and (c) the "projection" (or transformation) of this reaction scheme onto a biologically-consistent scheme. The advantage of the method is that it allows the fast prototyping of models for the culture of microorganisms that are not well documented. The good performance of the third step of the method is demonstrated by application to an example of microalgal culture.Brazilian Society of Chemical Engineering2010-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000300003Brazilian Journal of Chemical Engineering v.27 n.3 2010reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322010000300003info:eu-repo/semantics/openAccessMailier,J.Wouwer,A. Vandeeng2010-11-29T00:00:00Zoai:scielo:S0104-66322010000300003Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2010-11-29T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false |
dc.title.none.fl_str_mv |
A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae cultures |
title |
A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae cultures |
spellingShingle |
A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae cultures Mailier,J. Reaction networks Mathematical modeling Parameter estimation Bioprocesses |
title_short |
A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae cultures |
title_full |
A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae cultures |
title_fullStr |
A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae cultures |
title_full_unstemmed |
A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae cultures |
title_sort |
A fast and systematic procedure to develop dynamic models of bioprocesses: application to microalgae cultures |
author |
Mailier,J. |
author_facet |
Mailier,J. Wouwer,A. Vande |
author_role |
author |
author2 |
Wouwer,A. Vande |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Mailier,J. Wouwer,A. Vande |
dc.subject.por.fl_str_mv |
Reaction networks Mathematical modeling Parameter estimation Bioprocesses |
topic |
Reaction networks Mathematical modeling Parameter estimation Bioprocesses |
description |
The purpose of this paper is to report on the development of a procedure for inferring black-box, yet biologically interpretable, dynamic models of bioprocesses based on sets of measurements of a few external components (biomass, substrates, and products of interest). The procedure has three main steps: (a) the determination of the number of macroscopic biological reactions linking the measured components; (b) the estimation of a first reaction scheme, which has interesting mathematical properties, but might lack a biological interpretation; and (c) the "projection" (or transformation) of this reaction scheme onto a biologically-consistent scheme. The advantage of the method is that it allows the fast prototyping of models for the culture of microorganisms that are not well documented. The good performance of the third step of the method is demonstrated by application to an example of microalgal culture. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000300003 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000300003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0104-66322010000300003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
dc.source.none.fl_str_mv |
Brazilian Journal of Chemical Engineering v.27 n.3 2010 reponame:Brazilian Journal of Chemical Engineering instname:Associação Brasileira de Engenharia Química (ABEQ) instacron:ABEQ |
instname_str |
Associação Brasileira de Engenharia Química (ABEQ) |
instacron_str |
ABEQ |
institution |
ABEQ |
reponame_str |
Brazilian Journal of Chemical Engineering |
collection |
Brazilian Journal of Chemical Engineering |
repository.name.fl_str_mv |
Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ) |
repository.mail.fl_str_mv |
rgiudici@usp.br||rgiudici@usp.br |
_version_ |
1754213173126234112 |