Monitoring the convection coefficient in fermentative processes using numerical methods
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s00449-018-1903-6 http://hdl.handle.net/11449/175876 |
Resumo: | This work is based on the importance of monitoring the thermodynamic variables of sugarcane juice fermentation by Saccharomyces cerevisiae, using a numerical technique, and providing artifices that lead to the best performance of this bioprocess. Different combinations of yeast quantity were added to diverse dilutions of cane juice, allowing the evaluation of the fermentation performance. This was conducted by observing the temperature signal obtained from thermal probes inserted in the experimental set up. The best performances are utilized in the mathematical model evaluation. Thus, the signal reconstructed by the appropriate inverse problem and subsequently, regularized by the simplified method of least squares (the method used for adjusting the defined parameters) allows a common method to process the convection coefficient that can be monitored and controlled within an actuation range. This leads to an increased level of refinement in the technique. Results show that it is possible to determine the best parameters for this technique and observe the occurrence of fermentation by monitoring the temperature signal, thereby ensuring the realization of a high-quality and high-performance bioprocess. |
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Repositório Institucional da UNESP |
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Monitoring the convection coefficient in fermentative processes using numerical methodsAlcoholic fermentationConvection coefficientInverse problemRegularizationTemperatureThis work is based on the importance of monitoring the thermodynamic variables of sugarcane juice fermentation by Saccharomyces cerevisiae, using a numerical technique, and providing artifices that lead to the best performance of this bioprocess. Different combinations of yeast quantity were added to diverse dilutions of cane juice, allowing the evaluation of the fermentation performance. This was conducted by observing the temperature signal obtained from thermal probes inserted in the experimental set up. The best performances are utilized in the mathematical model evaluation. Thus, the signal reconstructed by the appropriate inverse problem and subsequently, regularized by the simplified method of least squares (the method used for adjusting the defined parameters) allows a common method to process the convection coefficient that can be monitored and controlled within an actuation range. This leads to an increased level of refinement in the technique. Results show that it is possible to determine the best parameters for this technique and observe the occurrence of fermentation by monitoring the temperature signal, thereby ensuring the realization of a high-quality and high-performance bioprocess.Department of Biological Sciences Faculty of Sciences and Letter of Assis (FCLA) University of São Paulo State (UNESP), Av. Dom Antônio 2100Department of Biological Sciences Faculty of Sciences and Letter of Assis (FCLA) University of São Paulo State (UNESP), Av. Dom Antônio 2100Universidade Estadual Paulista (Unesp)da Paz, Priscila Marques [UNESP]de Oliveira, Juliana [UNESP]2018-12-11T17:17:58Z2018-12-11T17:17:58Z2018-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article697-706application/pdfhttp://dx.doi.org/10.1007/s00449-018-1903-6Bioprocess and Biosystems Engineering, v. 41, n. 5, p. 697-706, 2018.1615-76051615-7591http://hdl.handle.net/11449/17587610.1007/s00449-018-1903-62-s2.0-850419183742-s2.0-85041918374.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBioprocess and Biosystems Engineering0,6400,640info:eu-repo/semantics/openAccess2024-06-13T17:38:02Zoai:repositorio.unesp.br:11449/175876Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:38:15.445605Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Monitoring the convection coefficient in fermentative processes using numerical methods |
title |
Monitoring the convection coefficient in fermentative processes using numerical methods |
spellingShingle |
Monitoring the convection coefficient in fermentative processes using numerical methods da Paz, Priscila Marques [UNESP] Alcoholic fermentation Convection coefficient Inverse problem Regularization Temperature |
title_short |
Monitoring the convection coefficient in fermentative processes using numerical methods |
title_full |
Monitoring the convection coefficient in fermentative processes using numerical methods |
title_fullStr |
Monitoring the convection coefficient in fermentative processes using numerical methods |
title_full_unstemmed |
Monitoring the convection coefficient in fermentative processes using numerical methods |
title_sort |
Monitoring the convection coefficient in fermentative processes using numerical methods |
author |
da Paz, Priscila Marques [UNESP] |
author_facet |
da Paz, Priscila Marques [UNESP] de Oliveira, Juliana [UNESP] |
author_role |
author |
author2 |
de Oliveira, Juliana [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
da Paz, Priscila Marques [UNESP] de Oliveira, Juliana [UNESP] |
dc.subject.por.fl_str_mv |
Alcoholic fermentation Convection coefficient Inverse problem Regularization Temperature |
topic |
Alcoholic fermentation Convection coefficient Inverse problem Regularization Temperature |
description |
This work is based on the importance of monitoring the thermodynamic variables of sugarcane juice fermentation by Saccharomyces cerevisiae, using a numerical technique, and providing artifices that lead to the best performance of this bioprocess. Different combinations of yeast quantity were added to diverse dilutions of cane juice, allowing the evaluation of the fermentation performance. This was conducted by observing the temperature signal obtained from thermal probes inserted in the experimental set up. The best performances are utilized in the mathematical model evaluation. Thus, the signal reconstructed by the appropriate inverse problem and subsequently, regularized by the simplified method of least squares (the method used for adjusting the defined parameters) allows a common method to process the convection coefficient that can be monitored and controlled within an actuation range. This leads to an increased level of refinement in the technique. Results show that it is possible to determine the best parameters for this technique and observe the occurrence of fermentation by monitoring the temperature signal, thereby ensuring the realization of a high-quality and high-performance bioprocess. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:17:58Z 2018-12-11T17:17:58Z 2018-05-01 |
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/10.1007/s00449-018-1903-6 Bioprocess and Biosystems Engineering, v. 41, n. 5, p. 697-706, 2018. 1615-7605 1615-7591 http://hdl.handle.net/11449/175876 10.1007/s00449-018-1903-6 2-s2.0-85041918374 2-s2.0-85041918374.pdf |
url |
http://dx.doi.org/10.1007/s00449-018-1903-6 http://hdl.handle.net/11449/175876 |
identifier_str_mv |
Bioprocess and Biosystems Engineering, v. 41, n. 5, p. 697-706, 2018. 1615-7605 1615-7591 10.1007/s00449-018-1903-6 2-s2.0-85041918374 2-s2.0-85041918374.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Bioprocess and Biosystems Engineering 0,640 0,640 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
697-706 application/pdf |
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_ |
1808128392320516096 |