Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterization
Autor(a) principal: | |
---|---|
Data de Publicação: | 2013 |
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=S0104-66322013000200007 |
Resumo: | In biotechnological processes, the productivity and costs depend strongly on the control of the operating conditions. For this reason, sensors that allow the monitoring of variables of interest become quite important. 2D fluorescence spectroscopy is one promising option among those that are being applied for this purpose. In the present work, three methods were evaluated to select the best excitation/emission wavelength pairs of 2D fluorescence spectra to infer product, substrate and cellular concentrations throughout a fermentation using a multiple linear chemometric model: Exhaustive Search (ES), Stepwise Regression and Genetic Algorithm (GA). The Stepwise Regression presented unsatisfying results, while GA always led to good R² values in short computational times. However, for the proposed problem, the ES showed the best performance, finding the global optimum in a few minutes. |
id |
ABEQ-1_c36ffbccaea71d2188440899707ebfa6 |
---|---|
oai_identifier_str |
oai:scielo:S0104-66322013000200007 |
network_acronym_str |
ABEQ-1 |
network_name_str |
Brazilian Journal of Chemical Engineering |
repository_id_str |
|
spelling |
Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterizationFermentation2D fluorescence spectroscopyWavelengthVariable selectionIn biotechnological processes, the productivity and costs depend strongly on the control of the operating conditions. For this reason, sensors that allow the monitoring of variables of interest become quite important. 2D fluorescence spectroscopy is one promising option among those that are being applied for this purpose. In the present work, three methods were evaluated to select the best excitation/emission wavelength pairs of 2D fluorescence spectra to infer product, substrate and cellular concentrations throughout a fermentation using a multiple linear chemometric model: Exhaustive Search (ES), Stepwise Regression and Genetic Algorithm (GA). The Stepwise Regression presented unsatisfying results, while GA always led to good R² values in short computational times. However, for the proposed problem, the ES showed the best performance, finding the global optimum in a few minutes.Brazilian Society of Chemical Engineering2013-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322013000200007Brazilian Journal of Chemical Engineering v.30 n.2 2013reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322013000200007info:eu-repo/semantics/openAccessMasiero,S. S.Trierweiler,J. O.Farenzena,M.Escobar,M.Trierweiler,L. F.Ranzan,C.eng2013-05-08T00:00:00Zoai:scielo:S0104-66322013000200007Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2013-05-08T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false |
dc.title.none.fl_str_mv |
Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterization |
title |
Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterization |
spellingShingle |
Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterization Masiero,S. S. Fermentation 2D fluorescence spectroscopy Wavelength Variable selection |
title_short |
Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterization |
title_full |
Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterization |
title_fullStr |
Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterization |
title_full_unstemmed |
Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterization |
title_sort |
Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocesses characterization |
author |
Masiero,S. S. |
author_facet |
Masiero,S. S. Trierweiler,J. O. Farenzena,M. Escobar,M. Trierweiler,L. F. Ranzan,C. |
author_role |
author |
author2 |
Trierweiler,J. O. Farenzena,M. Escobar,M. Trierweiler,L. F. Ranzan,C. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Masiero,S. S. Trierweiler,J. O. Farenzena,M. Escobar,M. Trierweiler,L. F. Ranzan,C. |
dc.subject.por.fl_str_mv |
Fermentation 2D fluorescence spectroscopy Wavelength Variable selection |
topic |
Fermentation 2D fluorescence spectroscopy Wavelength Variable selection |
description |
In biotechnological processes, the productivity and costs depend strongly on the control of the operating conditions. For this reason, sensors that allow the monitoring of variables of interest become quite important. 2D fluorescence spectroscopy is one promising option among those that are being applied for this purpose. In the present work, three methods were evaluated to select the best excitation/emission wavelength pairs of 2D fluorescence spectra to infer product, substrate and cellular concentrations throughout a fermentation using a multiple linear chemometric model: Exhaustive Search (ES), Stepwise Regression and Genetic Algorithm (GA). The Stepwise Regression presented unsatisfying results, while GA always led to good R² values in short computational times. However, for the proposed problem, the ES showed the best performance, finding the global optimum in a few minutes. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-06-01 |
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=S0104-66322013000200007 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322013000200007 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0104-66322013000200007 |
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.30 n.2 2013 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_ |
1754213173912666112 |