Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/32313 |
Resumo: | This study investigates the application of NIR spectroscopy for real-time monitoring of process parameters in alcoholic fermentations. For this purpose, fermentation batches using Saccharomyces cerevisiae were carried out and monitored in situ by an immersed NIRS probe. Samples were collected throughout the fermentations, and concentrations of biomass, glucose, ethanol and glycerin were analyzed by reference methods and multivariate data analyses such as PCA and PLSR. PCA was used to investigate data variability and to select samples for calibration and for external validation sets. A PLSR model for biomass yielded R2 and RMSEP values of 0.99 and 0.276 g.L-1, respectively. For glucose, the carbon source, the PLSR model yielded an R2 of 0.95 and an RMSEP of 7.14 g.L-1. The PLSR model for ethanol was characterized by an R2 of 0.95 and an RMSEP of 0.06 g.L-1. For glycerin, a highly accurate PLSR model with an R2 of 0.98 and an RMSEP of 0.116 g.L-1 was obtained. These results indicate that an in situ NIRS probe is suitable for real-time monitoring of important parameters in alcoholic fermentations |
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Santos, Everaldo Silvino dosNascimento, Ruthinéia Jéssica Alves doMacedo, Gorete Ribeiro deOliveira, Jackson Araújo de2021-04-26T13:50:08Z2021-04-26T13:50:08Z2017Nascimento, R. J. A. ; Macedo, Gorete R. ; SANTOS, E. S. ; OLIVEIRA, J. A. . Real time and in situ Near-Infrared Spectroscopy (Nirs) for Quantitative Monitoring of Biomass, Glucose, Ethanol and Glycerine concentrations in an alcoholic fermentation. Brazilian Journal of Chemical Engineering, v. 34, p. 459-468, 2017. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322017000200459&lng=en&tlng=en Acesso em 25 mar. 2021. https://doi.org/10.1590/0104-6632.20170342s201503470104-66321678-4383https://repositorio.ufrn.br/handle/123456789/3231310.1590/0104-6632.20170342s20150347Brazilian Journal of Chemical EngineeringAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessNear-infrared spectroscopyMonitoringAlcoholic fermentationReal time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThis study investigates the application of NIR spectroscopy for real-time monitoring of process parameters in alcoholic fermentations. For this purpose, fermentation batches using Saccharomyces cerevisiae were carried out and monitored in situ by an immersed NIRS probe. Samples were collected throughout the fermentations, and concentrations of biomass, glucose, ethanol and glycerin were analyzed by reference methods and multivariate data analyses such as PCA and PLSR. PCA was used to investigate data variability and to select samples for calibration and for external validation sets. A PLSR model for biomass yielded R2 and RMSEP values of 0.99 and 0.276 g.L-1, respectively. For glucose, the carbon source, the PLSR model yielded an R2 of 0.95 and an RMSEP of 7.14 g.L-1. The PLSR model for ethanol was characterized by an R2 of 0.95 and an RMSEP of 0.06 g.L-1. For glycerin, a highly accurate PLSR model with an R2 of 0.98 and an RMSEP of 0.116 g.L-1 was obtained. These results indicate that an in situ NIRS probe is suitable for real-time monitoring of important parameters in alcoholic fermentationsengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALRealTimeAndInSitu_Santos_2017.pdfRealTimeAndInSitu_Santos_2017.pdfapplication/pdf1074431https://repositorio.ufrn.br/bitstream/123456789/32313/1/RealTimeAndInSitu_Santos_2017.pdf9a3f02033242a3fdf6c3360adfcdf6deMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/32313/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/32313/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTRealTimeAndInSitu_Santos_2017.pdf.txtRealTimeAndInSitu_Santos_2017.pdf.txtExtracted texttext/plain36949https://repositorio.ufrn.br/bitstream/123456789/32313/4/RealTimeAndInSitu_Santos_2017.pdf.txt435b5b734bfa84e20af6da1dffe1ff3aMD54THUMBNAILRealTimeAndInSitu_Santos_2017.pdf.jpgRealTimeAndInSitu_Santos_2017.pdf.jpgGenerated Thumbnailimage/jpeg1664https://repositorio.ufrn.br/bitstream/123456789/32313/5/RealTimeAndInSitu_Santos_2017.pdf.jpg3abcb773de72e8af39060d9a5f757d9fMD55123456789/323132021-05-02 08:35:06.488oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-05-02T11:35:06Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation |
title |
Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation |
spellingShingle |
Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation Santos, Everaldo Silvino dos Near-infrared spectroscopy Monitoring Alcoholic fermentation |
title_short |
Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation |
title_full |
Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation |
title_fullStr |
Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation |
title_full_unstemmed |
Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation |
title_sort |
Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation |
author |
Santos, Everaldo Silvino dos |
author_facet |
Santos, Everaldo Silvino dos Nascimento, Ruthinéia Jéssica Alves do Macedo, Gorete Ribeiro de Oliveira, Jackson Araújo de |
author_role |
author |
author2 |
Nascimento, Ruthinéia Jéssica Alves do Macedo, Gorete Ribeiro de Oliveira, Jackson Araújo de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Santos, Everaldo Silvino dos Nascimento, Ruthinéia Jéssica Alves do Macedo, Gorete Ribeiro de Oliveira, Jackson Araújo de |
dc.subject.por.fl_str_mv |
Near-infrared spectroscopy Monitoring Alcoholic fermentation |
topic |
Near-infrared spectroscopy Monitoring Alcoholic fermentation |
description |
This study investigates the application of NIR spectroscopy for real-time monitoring of process parameters in alcoholic fermentations. For this purpose, fermentation batches using Saccharomyces cerevisiae were carried out and monitored in situ by an immersed NIRS probe. Samples were collected throughout the fermentations, and concentrations of biomass, glucose, ethanol and glycerin were analyzed by reference methods and multivariate data analyses such as PCA and PLSR. PCA was used to investigate data variability and to select samples for calibration and for external validation sets. A PLSR model for biomass yielded R2 and RMSEP values of 0.99 and 0.276 g.L-1, respectively. For glucose, the carbon source, the PLSR model yielded an R2 of 0.95 and an RMSEP of 7.14 g.L-1. The PLSR model for ethanol was characterized by an R2 of 0.95 and an RMSEP of 0.06 g.L-1. For glycerin, a highly accurate PLSR model with an R2 of 0.98 and an RMSEP of 0.116 g.L-1 was obtained. These results indicate that an in situ NIRS probe is suitable for real-time monitoring of important parameters in alcoholic fermentations |
publishDate |
2017 |
dc.date.issued.fl_str_mv |
2017 |
dc.date.accessioned.fl_str_mv |
2021-04-26T13:50:08Z |
dc.date.available.fl_str_mv |
2021-04-26T13:50:08Z |
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.citation.fl_str_mv |
Nascimento, R. J. A. ; Macedo, Gorete R. ; SANTOS, E. S. ; OLIVEIRA, J. A. . Real time and in situ Near-Infrared Spectroscopy (Nirs) for Quantitative Monitoring of Biomass, Glucose, Ethanol and Glycerine concentrations in an alcoholic fermentation. Brazilian Journal of Chemical Engineering, v. 34, p. 459-468, 2017. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322017000200459&lng=en&tlng=en Acesso em 25 mar. 2021. https://doi.org/10.1590/0104-6632.20170342s20150347 |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/32313 |
dc.identifier.issn.none.fl_str_mv |
0104-6632 1678-4383 |
dc.identifier.doi.none.fl_str_mv |
10.1590/0104-6632.20170342s20150347 |
identifier_str_mv |
Nascimento, R. J. A. ; Macedo, Gorete R. ; SANTOS, E. S. ; OLIVEIRA, J. A. . Real time and in situ Near-Infrared Spectroscopy (Nirs) for Quantitative Monitoring of Biomass, Glucose, Ethanol and Glycerine concentrations in an alcoholic fermentation. Brazilian Journal of Chemical Engineering, v. 34, p. 459-468, 2017. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322017000200459&lng=en&tlng=en Acesso em 25 mar. 2021. https://doi.org/10.1590/0104-6632.20170342s20150347 0104-6632 1678-4383 10.1590/0104-6632.20170342s20150347 |
url |
https://repositorio.ufrn.br/handle/123456789/32313 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Brazilian Journal of Chemical Engineering |
publisher.none.fl_str_mv |
Brazilian Journal of Chemical Engineering |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
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Universidade Federal do Rio Grande do Norte (UFRN) |
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UFRN |
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UFRN |
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Repositório Institucional da UFRN |
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Repositório Institucional da UFRN |
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